22nd INTERNATIONAL CONFERENCE ON 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL , SHENZHEN, OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

TABLE OF CONTENTS

Welcome From President, MICCAI Society...... 1 Welcome From General Chairs of MICCAI 2019...... 2 MICCAI Board...... 4 Host Organizations...... 7 Program Overview...... 9 General Information...... 10 MICCAI Code of Conduct...... 14 InterContinental Hotel Shenzhen - Floor Plan...... 15 Venue at a Glance...... 17 Exhibition Floor Plan...... 18 Sponsors...... 19 Special & Social Events...... 25 Gala Dinner...... 28 Keynote: Prof. Xiaoliang Sunney Xie...... 34 Keynote: Prof. Qiyong Gong...... 35 Keynote: Dr. Catherine Mohr...... 36 Industry Forum Keynote: Prof. Shiyuan Liu...... 37 Conference Program...... 44 Poster Sessions...... 47 MICCAI Challenges...... 93 October 13 Satellite Events...... 95 October 17 Satellite Events...... 159 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

WELCOME FROM PRESIDENT, MICCAI SOCIETY WELCOME FROM GENERAL CHAIRS OF MICCAI 2019

Dear MICCAI 2019 participants, Dear All,

On behalf of the MICCAI Society Board, I extend to a very warm Welcome to MICCAI 2019. It is our privilege and great honor to host welcome to MICCAI 2019, the 22nd International Conference on Medical the MICCAI 2019 conference in Shenzhen, China. We are grateful to the Image Computing and Computer Assisted Intervention, which takes MICCAI board for their support and approval of moving the conference place from October 13th to 17th, 2019 in Shenzhen, China. Shenzhen is a venue from Hong Kong (originally proposed) to Shenzhen due to limited beautiful, modern city known as the Silicon Valley of Asia, which makes it space in the original Hong Kong venue that was unable to accommodate an outstanding venue for MICCAI 2019. the significant increase in MICCAI attendance since 2017. We hope you enjoy your stay in Shenzhen during the conference. This edition promises to be the largest and most attended conference in the history of MICCAI. Indeed, both our Conference and our Society have We are very grateful to all those who contributed to this conference in- experienced a continuous growth since their inceptions in 1998 and cluding authors, reviewers, area chairs, delegates, organization team 2004, respectively. An important part of this growth is mostly due to the members, keynote speakers, volunteers, sponsors, and the entire MICCAI outstanding work of various groups within the MICCAI Society including community. We would like to share with you some notable aspects of this Leo Joskowicz the Women in MICCAI group and the MICCAI Student board. year’s MICCAI conference including: 1) a 63% increase of paper submis- Dinggang Shen MICCAI Society President sions compared to last year; 2) many high quality papers with a low ac- MICCAI 2019 General Chair I believe this is a unique and exciting time to be in the fields of ceptance rate of 31%; 3) a significantly increased number of delegates UNC Chapel Hill Medical Image Computing and Computer Assisted Intervention. With recent developments in medical (1763 by Sept 26, 2019); 4) generous cooperate sponsorship ($346,000 by imaging, medical robotics, artificial intelligence, and machine learning, there is a growing interest in the Sept 26, 2019) that enabled low registration fees; 5) increased diversity research we do, its applications to address clinical problems, and the exchange of ideas, information, of participants, including those from underrepresented locations and and knowledge. This has been reflected in all aspects of the conference: the international diversity and populations; and 6) a large number of graduate and undergraduate stu- number of attendees, the record number of submitted papers, the breath and depth of the satellite dent travel awards, thanks to partial support from the MICCAI society, events, the extended industrial support and industry participation, the Women in MICCAI lunch, and the NIH, and NSF. MICCAI Special Interest Groups. I invite all to attend the many events that have been scheduled during this conference! Our program executive team led by Terry Peters selected and grouped 539 accepted papers into 7 oral sessions and 9 poster sessions during The MICCAI Society is committed to fostering and nurturing this growth and interest, and to providing a the three days of main conference, based on thematic topics, as will be safe, professional, and intellectually stimulating forum for the presentation and exchange of ideas. I trust seen in the programme booklet. In addition to traditional oral sessions, that you will enjoy and appreciate this meeting and return home enriched with unique experiences. we have assembled 6 industry papers into a special oral session #2, which is scheduled immediately after the industry forum during the afternoon I would like to thank all the people that have contributed to making MICCAI 2019 a reality: the authors of Oct 14, to facilitate possible synergy between the industry forum and for preparing, submitting and sharing with us their scientific work; the reviewers for their dedicated work, the industry oral session. To provide opportunities for talented gradu- the program and satellite event committees for selecting the papers and putting together an outstanding ate students across the globe to present their thesis research, we have Tianming Liu program, and the industrial sponsors for supporting the meeting. I would also like to acknowledge and invited the first authors of 6 papers to present their work in a special oral MICCAI 2019 General Chair thank the numerous members of the MICCAI Society and the local organization team, too numerous to list session #5 (Doctoral Symposium) on Oct 15 afternoon. These students The University of Georgia here, for making MICCAI 2019 a reality. Lastly and most importantly, I would like to take this opportunity to received travel support from NSF, NIH and the MICCAI society. This year, thank and compliment the MICCAI 2019 organization committee for what promises to be a very successful the time period for each oral presentation has been shortened to 8 min- and memorable MICCAI conference. utes, allowing a substantial portion of podium time during the main conference to be scheduled for two special events: 1) an Industry forum on the afternoon of Oct 14 and 2) a special MICCAI Challenge To all attendees, enjoy the conference! presentation on the afternoon of Oct 16. We hope the industry forum will contribute to closer interaction and collaboration between academia and industry, and the MICCAI challenges will bring more attention On behalf of the MICCAI Society Board. to better practice and novel solutions to challenging tasks. Before the oral and poster sessions each day, three esteemed keynote speakers will give insightful and cutting-edge coverages of topics in optical im- aging, neuroimaging, and medical intervention devices.

In addition to the main conference program, a total of 32 workshops, 22 challenges, and 13 tutorials are Leo Joskowicz MICCAI Society President

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WELCOME FROM GENERAL CHAIRS OF MICCAI 2019 MICCAI BOARD scheduled on the days before and after the main conference, to provide further venues and opportunities Executive Officers for scientific exchanges and discussions. Thanks go to the many satellite event organizers, contributing President: Leo Joskowicz, The Hebrew University of Jerusalem, Israel authors and reviewers, as well as our satellite events organization committee for their part in coordinat- Treasurer: Stephen Aylward, Kitware, Inc., NY, USA ing MICCAI’s largest ever satellite event programme. These informative and enriching satellite events are Secretary: Josien Pluim, Eindhoven University of Technology, the Netherlands an important and integral part of our overall MICCAI 2019 programme, reflected by themore than 1763 registrations (by Sept 26, 2019) in these events. Our scientific activities during the 5-day main conference MICCAI Board of Directors and satellite events are complemented by a variety of social activities including the Gala dinner, MICCAI Marleen de Bruijne, Erasmus Medical Centre, the Netherlands and University of Copenhagen, Denmark Student Board (MSB) activities, Women in MICCAI (WiM) events, and tours. We are proud of the vibrant and Hervé Delingette, INRIA, Sophia Antipolis, France collegial MICCAI community and welcome their presence in Shenzhen. Caroline Essert , University of Strasbourg, France Lena Maier Hein, German Cancer Research Center, Heidelberg, Germany To achieve the above scientific and social activities, our stellar organization teams and members have Shuo Li, Western University, , Ontario, Canada made diligent efforts, including the Program Executive (Terry Peters, Lawrence Staib, Caroline Essert, Sean Tianming Liu, University of Georgia, USA Zhou, Pew-Thian Yap, Ali Khan), 69 Area Chairs, the Satellite Event Chairs (Kenji Suzuki, Hongen Liao, Qian Anne Martel, University of , Canada Wang, Luping Zhou, Hayit Greenspan, Bram van Ginneken), Industry Forum Organizers (Yiqiang Zhan and Daniel Racoceanu, Pontifical Catholic University of Peru, , Peru Xiaodong Tao), the Publication Committee (Gang Li and Li Wang), Finance Committee (Dong Ni, Janette Julia Schnabel, King’s College, London, UK Wallace, Stephen Aylward), Local Organization Chairs (Dong Ni, Jing , Qianjin Feng, Dong Liang, Xiaoy- Guoyan Zheng, Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China ing Tang), Sponsor & Publicity Liaison (Kevin Zhou, Hongen Liao, Wenjian Qin), Keynote Lecture Chairs Kevin Zhou, Chinese Academy of Sciences, , China (Max Viergever, Kensaku Mori, Gözde Ünal), Student Travel Award Committee (Huiguang He, Jun Shi, Xi Jiang), Doctoral Symposium Organizers (Junzhou Huang, Dajiang Zhu), MICCAI Board Challenge Work- Officers and Staff ing Group, and Student Activities Liaison (Julia Schnabel, Caroline Essert, , and MICCAI Fellows Nomination Coordinator: Terry Peters, Robarts Resesrch Institute, Western University, Student Board Members). Their efforts and contributions are gratefully acknowledged on our website, London, Canada Proceedings Preface, and this Programme Booklet. Honorary Elections Officer: Max Viergever, University Medical Center Utrecht Enduring Impact Award Coordinator: Alan Colchester, University of Kent, Canterbury Also, we would like to extend our sincere gratitude to those contributors behind the scenes, particularly MICCAI Society Board Secretariat: Janette Wallace Kitty Wong, who managed the CMT paper submission system on a daily basis and worked tirelessly to MICCAI Society Board Assistant: Johanne Langford handle numerous questions and answers. Thanks also go to our local organization committee chaired Paper Submissions Coordinator: Kitty Wong by Dong Ni, who is coordinating and managing many logistical issues in Shenzhen, as well as the Society Membership Coordinator: John Baxter MICCAI secretariat personnel Janette Wallace and Johanne Langford who serve as a bridge between our Recording Secretary: Jackie Williams MICCAI 2019 team and the MICCAI Board. We offer our sincere appreciation to Doris Lam and her team E-mail Communication Coordinator: Chris Wedlake from Momentous Asia who performed the herculean task in their role as the Professional Conference Webmasters: Mitlon Hoz de Vila, Silvina Ré Organization to bring this event together, and finally thanks to Alejandro Frangi, General Chair of MICCAI 2018, and his team who shared their valuable experience from last year. Student Board Officers President: Roxane Licandro, Medical University of Vienna, TU Wien Again, we would like to thank and welcome everyone, and hope you will enjoy MICCAI 2019 and go home Professional Events Officer: Anees Kazi, TU München with wonderful memories of Shenzhen, China! Social Events Co-Officer: Guodong Zeng, University of Bern Educational Officer: Prasanna Parvathaneni, Vanderbilt University General Chairs of MICCAI 2019 Educational Officer: Nathaniel Braman, Vanderbilt University Social Events Officer: Ylenia Giarratano, University of Edinburgh Dinggang Shen, UNC Chapel Hill Social Events Officer: Francesco La Rosa, École polytechnique fédérale de Lausanne Tianming Liu, The University of Georgia Sports Officer: David Garcia Mato, Universidad Carlos III de Madrid Public Relations Officer: Magdalini Paschali, TU München Executive Officer: Mark Asselin, Queen’s University Advisory Members: Danielle Pace, MIT Niha Beig, Case Western Reserve University Shekoofeh Azizi, University of British Columbia Lena Filatova, TU Delft

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MICCAI 2019 ORGANIZATION COMMITTEE MICCAI 2019 ORGANIZATION COMMITTEE

General Chairs Xiaoying Tang, Southern University of Science and Jian Cheng, Beihang University Emanuele Trucco, University of Dundee Dinggang Shen, The University of North Carolina at Technology Jun Cheng, Cixi Institute of Biomedical Engineering, Martin Urschler, Graz University of Technology Chapel Hill Chinese Academy of Sciences Hien Van Nguyen, University of Houston Tianming Liu, The University of Georgia Sponsors & Publicity Liaison Veronika Cheplygina, Eindhoven University of Archana Venkataraman, Johns Hopkins University Kevin Zhou, Institute of Computing Technology, Technology Christian Wachinger, Swiss Federal Institute of Program Executive Chinese Academy of Sciences Elena De Momi, Politecnico di Milano Technology Zurich Terry Peters, Robarts Research Institute, Western Hongen Liao, Tsinghua University Ayman El-Baz, University of Louisville Linwei Wang, Rochester Institute of Technology University Wenjian Qin, Shenzhen Institutes of Advanced Aaron Fenster, Robarts Research Institute, Western Yong Xia, Northwestern Polytechnical University Lawrence H. Staib, Yale University Technology, Chinese Academy of Sciences University Yanwu Xu, Baidu Inc. Caroline Essert, University of Strasbourg Moti Freiman, Philips Healthcare Zhong Xue, United Imaging Intelligence (UII) Sean Zhou, United Imaging Intelligence (UII) Keynote Lectures Chairs Yue Gao, Tsinghua University Pingkun , Rensselaer Polytechnic Institute Pew-Thian Yap, The University of North Carolina at Max Viergever, University Medical Center Utrecht Xiujuan Geng, Chinese University of Hong Kong Xin Yang, Huazhong University of Science and Chapel Hill Kensaku Mori, University Stamatia Giannarou, Imperial College London Technology Ali Khan, Robarts Research Institute, Western Gözde Ünal, Istanbul Technical University Orcun Goksel, Swiss Federal Institute of Technology Yixuan Yuan, City University of Hong Kong University Zurich Daoqiang Zhang, Nanjing University of Aeronautics Student Travel Award Committee Xiao , AI Healthcare Center, Tencent Inc. and Astronautics Workshops/Challenges/Tutorial Chairs Huiguang He, Institute of Automation, Chinese Huiguang He, Institute of Automation, Chinese Miaomiao Zhang, Washington University in St. Louis Kenji Suzuki, Institute of Technology Academy of Sciences Academy of Sciences Tuo Zhang, Northwestern Polytechnical University Qian Wang, Shanghai Jiao Tong University Jun Shi, Shanghai University Hong, The University of Georgia Guoyan Zheng, Shanghai Jiao Tong University Luping Zhou, The University of Sydney Xi Jiang, University of Electronic Science and Junzhou Huang, The University of Texas at Arlington Kevin Zhou, Institute of Computing Technology, Hongen Liao, Tsinghua University Technology of China Xiaolei Huang, The Pennsylvania State University Chinese Academy Of Sciences Hayit Greenspan, Tel-Aviv University Juan Eugenio Iglesias, University College London Dajiang Zhu, The University of Texas at Arlington Bram van Ginneken, Radboud University Medical Student Activities Liaison Pierre Jannin, The University of Rennes Center Julia Schnabel, King’s College London Bernhard Kainz, Imperial College London Caroline Essert, University of Strasbourg Ali Kamen, Siemens Healthcare Industry Forum Dimitris Metaxas, Rutgers University Jaeil Kim, Kyungpook National University Yiqiang Zhan, United Imaging Intelligence (UII) MICCAI Student Board Members Andrew King, King’s College London Xiaodong Tao, iFLYTEK Health Karim Lekadir, The Universitat Pompeu Fabra Area Chairs Cristian Linte, Rochester Institute of Technology Publication Committee Purang Abolmaesumi, The University of British Mingxia Liu, The University of North Carolina at Gang Li, The University of North Carolina at Chapel Columbia Chapel Hill Hill Shadi Albarqouni, The Technical University of Klaus Maier-Hein, German Cancer Research Center Li Wang, The University of North Carolina at Chapel (TUM) Anne Martel, Sunnybrook Research Institute Hill Elsa Angelini, Imperial College London Andrew Melbourne, University College London Suyash Awate, Indian Institute of Technology (IIT) Anirban Mukhopadhyay, Technische Universität Finance Committee Bombay Darmstadt Dong Ni, Shenzhen University Ulas Bagci, University of Central Florida (UCF) Anqi Qiu, National University of Singapore Janette Wallace, Robarts Research Institute, Western Kayhan Batmanghelich, University of Islem Rekik, Istanbul Technical University University Christian Baumgartner, Swiss Federal Institute of Hassan Rivaz, Concordia University Stephen Aylward, Kitware, Inc. Technology Zurich Feng Shi, United Imaging Intelligence (UII) Ismail Ben Ayed, Ecole de Technologie Superieure Amber Simpson, Queen’s University Local Organization Chairs (ETS) Marius Staring, Leiden University Medical Center Dong Ni, Shenzhen University Weidong Cai, The University of Sydney Heung-Il Suk, Korea University Jing Qin, The Hong Kong Polytechnic University Xiaohuan Cao, United Imaging Intelligence (UII) Tanveer Syeda-Mahmood, IBM Research, California Qianjin Feng, Southern Medical University Elvis Chen, Robarts Research Institute, Western Xiaoying Tang, Southern University of Science and Dong Liang, Shenzhen Institutes of Advanced University Technology Technology, Chinese Academy of Sciences Xinjian Chen, Soochow University Pallavi Tiwari, Case Western Reserve University

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HOST ORGANIZATIONS HOST ORGANIZATIONS

The Medical Image Computing and Computer Assisted Southern University of Science and Intervention Society (the MICCAI Society) is dedicated to the Technology (SUSTech) is a public research promotion, preservation and facilitation of research, education university in Shenzhen, Guangdong, China. and practice in the field of medical image computing and SUSTech is a platform to experiment with computer assisted medical interventions including biomedical Chinese higher education reform. It is working imaging and robotics, through the organization and operation of towards becoming a world-class university regular high quality international conferences and publications excelling in interdisciplinary research, which promote and foster the exchange and dissemination of nurturing innovative talents and delivering new knowledge to the world. In the Nature Index 2016 Rising advanced knowledge, expertise and experience in the field Stars rankings, SUSTech was ranked 62nd among the global top 100 institutions with most significant produced by leading institutions and outstanding scientists, physicians and educators around the world. growth in high quality research publications; it was ranked as the third fastest growing institution in the The MICCAI Society is committed to maintaining high academic standards and independence from any world. personal, political or commercial vested interests.

Titled with “the Special Economic Zone University”, Shenzhen University (SZU) has grown into a multi-discipline university hosting over 30,000 students, 2,500 professional teachers and staff members since its founding three decades ago. With the state-of-art facilities and a devoted and professional teaching and research team, SZU is committed to an innovative, high- level and international prominent university.

The Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Science (CAS) comprise 8 institutes and numerous other labs and facilities. SIAT was jointly established by CAS, the Shenzhen municipal government and the Chinese University of Hong Kong in February 2006. SIAT aims to enhance the innovative capacity of the equipment manufacturing and service industries in the Guangdong-Hong Kong region, promote the development of emerging industries possessing their own proprietary intellectual property, and become a world-class industrial research institute.

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PROGRAM OVERVIEW GENERAL INFORMATION

TIME Oct 13 Oct 14 (MON) Oct 15 (TUE) Oct 16 (WED) Oct 17 (THU) Conference Venue (SUN) InterContinental Hotel Shenzhen 07:00-08:00 MICCAI Running MICCAI Running MICCAI Running Address: No. 9009 Shennan Road, Overseas Chinese Town, Shenzhen, China 08:00-08:30 Satellite Events Welcome Satellite Events 深圳华侨城洲际大酒店, 中国广东省深圳市华侨城深南大道9009号 Tel: +86-755-33993388 08:30-09:00 Keynote #2: Qiyong Keynote #3: Catherine Gong Mohr 09:00-09:30 Keynote #1: The nearest metro station is OCT on Line 1. The hotel is within 2 min walk from Exit C of the OCT metro Xiaoliang Sunney station. 09:30-10:00 Xie Coffee Break Coffee Break 10:00-10:30 Coffee Break Oral Session 3: Oral Session 6: Registration Desks Reconstruction and Computer-assisted October 12, 2019, Saturday 12:00-20:00 Hotel Lobby 10:30-11:00 Oral Session Synthesis Interventions October 13, 2019, Sunday 07:30-20:00 Hotel Lobby 1: Computer 11:00-11:30 Aided Diagnosis, October 14, 2019, Monday 07:30-19:00 Hotel Lobby 11:30-12:00 Detection and Lunch; Poster Lunch; October 15, 2019, Tuesday 07:30-18:00 Hotel Lobby Classification Session #4 Poster October 16, 2019, Wednesday 07:30-18:00 Hotel Lobby Session #7 12:00-12:30 Lunch Lunch; Poster Lunch October 17, 2019, Thursday 07:30-16:00 Hotel Lobby Session #1 12:30-13:00 Satellite Events Lunch Lunch Satellite Events Exhibition Opening Hours 13:00-13:30 Lunch; Poster Lunch; Poster Lunch; The exhibition is located in the Foyer area outside the Grand Ballroom Session #2 Session #5 Poster Women in MICCAI (WIM) Lunch October 13, 2019, Sunday 09:30-18:00 13:30-14:00 Session #8 October 14, 2019, Monday 08:30-18:00 14:00-14:30 Industry Forum: Oral Session 4: Oral Session 7: MIC October 15, 2019, Tuesday 08:30-18:00 Keynote, Panel Registration & meets CAI October 16, 2019, Wednesday 08:30-18:00 14:30-15:00 Segmentation October 17, 2019, Thursday 08:30-16:00 15:00-15:30 15:30-16:00 Coffee Break; Poster Coffee Break; Poster Coffee Break; Poster Luncheons and Coffee Breaks Session #3 Session #6 Session #9 Coffee breaks are in the Foyer area outside the Grand Ballroom and the meeting rooms. Luncheons are at 16:00-16:30 the hotel restaurants. Standing buffet luncheons are also available at the foyer area. Hotel staff will guide 16:30-17:00 MICCAI Society: Oral Session MICCAI Challenges you to the restaurants/standing buffet for luncheons. New Fellows and 5: Doctoral Enduring Impact Symposium Award Special Dietary buffet Vegetarian and Gluten Free: Pipette French Restaurant 17:00-17:30 MICCAI General Food items will be labelled. Assembly 17:30-18:00 Oral Session 2: Free Time Closing/Prizes Name Badges Industry Session Please wear your name badges at all time. Only MICCAI 2019 participants wearing official name badges 18:00-18:30 Reception Cocktail Gala Dinner: Session 1 will be allowed to access the conference site and to attend the scientific and social programmes. 18:30-19:00 Free Time 19:00-19:30 Academia & Speaker Preview Industry: Panel All oral presenters must preview their presentations in Madrid 6 speaker-ready room. 19:30-20:00 Discussion “Dancing with Dragons and Phoenix” Show

20:00-20:30 Academia in MICCAI Women (WIM) Networking Event Satellite Events Satellite & Industry: 20:30-21:00 Gala Dinner: Ping An Financial Financial An Ping Center Networking Session 2 21:00-22:00 MICCAI Soccer; MICCAI Lesson Kungfu

22:00-23:00 Music Event

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GENERAL INFORMATION GENERAL INFORMATION

Internet Access MICCAI 2019 will be using slido as a question and answer platform. Audience can raise questions to the There are two wifi options available: speakers via sli.do. The following shows how to connect your device to sli.do. A) Internet Access provided by the hotel: 1. Login to ‘InterContinental’ in your device. You will be directed to hotel’s webpage 2. Choose: I am a conference participant 3. Enter Access Code: 8888 4. Agree to Terms and Conditions of wifi use

B) From a wifi service provider: Go to slido.com and enter the event Login: MICCAI2019 code: #miccai Password: shenzhen

Please note servers for these services are located in mainland China and certain sites such as Google may not be accessible.

Mobile App Scanning A mobile app is produced for MICCAI 2019. If you have access to Google, you can download the app by scanning the QR code below.

Join the conversation 1. Open browser 2. Go to slido.com 3. Enter miccai

If you are not able to access Google, please download the apk file from the conference website: https:// www.miccai2019.org/travel/mobileapp/

Ask questions and upvote the ones you like

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GENERAL INFORMATION MICCAI CODE OF CONDUCT

MICCAI is dedicated to providing a safe and professional conference experience for everyone. We do not tolerate the harassment of conference participants in any form. Conference participants are expected to comply with the standards of good behaviour detailed in the code of conduct that can be consulted here: www.miccai.org/about-miccai/code-of-conduct. Stay anonymous or attach your name to If you experience an inappropriate behavior and/or notice that the question someone else is being harassed, or have any other concerns, please notify a member of the conference staff immediately, or contact the safety officers at the following email address: [email protected]. Code of Conduct at Miccai Events (on MICCAI Society website)

Share your thoughts and opinion by voting in live polls

Questions and votes will appear in real- time on an interactive wall

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INTERCONTINENTAL HOTEL SHENZHEN - FLOOR PLAN INTERCONTINENTAL HOTEL SHENZHEN - FLOOR PLAN

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VENUE AT A GLANCE EXHIBITION FLOOR PLAN

Room Location (as shown in Hotel Sessions Elevator) Exhibition booths are located at the foyer area outside Espana Ballroom, the main venue for plenary sessions. Espana Ballroom L Plenary Sessions, Industry Forum, Posters Madrid 1 L Organizer’s Office Madrid 2 L Workshops/Tutorials/Challenges/Posters Espana Ballroom Madrid 3 L Workshops/Tutorials/Challenges/Posters Madrid 5 L Workshops/Tutorials/Challenges/Posters Madrid 6 L Workshops/Tutorials/Challenges/Speaker Preview A B C D Madrid 7 L Workshops/Tutorials/Challenges/Meetings Madrid 8 L Workshops/Tutorials/Challenges/Meetings Madrid VIP6 L Workshops/Tutorials/Challenges Barcelona L Overflow for Plenary Sessions El Chino 1 L, Chinese Restaurant Workshops/Tutorials/Challenges Booth No. Exhibitor Booth No. Exhibitor El Chino 2 L, Chinese Restaurant Workshops/Tutorials/Challenges 1 Deepwise Healthcare 10 Huawei Technologies El Chino 3 L, Chinese Restaurant Workshops/Tutorials/Challenges 2 Perception Vision Medical 11 Tencent AIMIS El Chino 4 L, Chinese Restaurant Workshops/Tutorials/Challenges Technologies El Chino 5 L, Chinese Restaurant Workshops/Tutorials/Challenges 3 NDI Asia Pacific 12 Yizhun Medical AI El Chino 6 L, Chinese Restaurant Workshops/Tutorials/Challenges 4 NEC Corporation 13 Hangzhou YITU Healthcare Winston Churchill L1, Huading (Cigar Bar) Workshops/Tutorials/Challenges Technology Huading Hall L1, Huading (Cigar Bar) Workshops/Tutorials/Challenges 5 Shenzhen Mindray Bio-Medical 14 Baidu Hitchcock L1, Huading (Cigar Bar) Workshops/Tutorials/Challenges Electronics Napoleon L2, Pipette (French Restaurant) Workshops/Tutorials/Challenges 6 Shanghai United Imaging 15 GE Healthcare Intelligence Latour L2, Pipette (French Restaurant) Workshops/Tutorials/Challenges 7 ClaroNav Inc 16 Huiying (HY) Medical Basil G, Coriander Thai Restaurant Workshops/Tutorials/Challenges Technology Galleon 3 WIM Luncheon and Reception 8 Imsight Medical Technology 17 JF Healthcare Foyer areas L, Outside Espana Ballroom, Posters/Coffee Break 9 SenseTime 18 Shenzhen Beacon Display Madrid Rooms and Barcelona Technology Room A MICCAI 2020 B Springer Mercado Restaurant G (Buffet Restaurant) Lunch C Elsevier D MICCAI Student Board El Chino L, Chinese Restaurant Lunch Remarks: 1. Access to Huading Cigar Bar: From hotel lobby (‘L’), take the stairs up Huading Club. The stairs are located opposite the Registration Desks. There is also an elevator next to the stairs to go up to Huading Club. 2. Access to Pipette French Restaurant: From hotel lobby (‘L’) to access Pipette Restaurant. From the Pipette Restaurant, take the lift down to Level -2.

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SPONSORS SPONSORS

Primary Sponsor Platinum Sponsors

Medical Imaging Computing Seminar (MICS) was With advanced technology in deep learning, founded in 2014 with the purpose of providing an computer vision, natural language processing, and academic exchange platform for young Chinese scholars deep understanding in the healthcare industry, Yitu in the field of Medical Imaging, enhancing mutual Healthcare provides clinical intelligent diagnosis understanding and friendship, and helping young and intelligent management systems for multiple scholars integrate into the academic research family. In departments. Today Yitu’s care.aiTM Solutions have the past two years, MICS focuses on the original research been successfully integrated into clinical procedures, in the field of medical image computing, and welcomes the new theories, new methods and new and applied in disease prevention, examination, applications from medical image processing, computer vision and artificial intelligence, as well as the diagnosis, treatment, scientific research and other processes. breakthrough report of in-depth intersection between image and clinical and basic medicine.

As one of the pioneers in China, Yizhun Medical AI uses Platinum Sponsors machine learning to create clinical-level intelligent systems for doctors and patients. We aim at improving United Imaging Intelligence (UII) is committed to medical treatment by technology. So far, our lung providing AI solutions for medical devices, imaging, nodule and breast cancer systems have been launched. and diagnosis – helping clients better understand and embrace AI. Our mission is to deepen knowledge and broaden experience in medical imaging AI, innovate into multiple new dimensions, and to be a trailblazer in the healthcare AI field; for the broadest application of AI in the healthcare domain, empower and enable our Tencent AIMIS is an expert in AI medical solutions. With customers, and bring health to all patients and citizens. the capacity of Tencent AI lab and Tencent Youtu Lab. Tencent AIMIS applies variety of AI technologies to assist doctors in disease screening and diagnosis so as to PVmed is a leader in medical artificial intelligence improve the diagnostic accuracy and effectiveness. (AI) technology. It owns a world-leading technique of medical imaging AI with the highest resolution image database and largest algorithm accumulation, standing out among its international peer companies. Huawei is a leading global provider of information and The company owns leading nasopharyngeal carcinoma communications technology (ICT) infrastructure and radiotherapy targeting delineation scheme, lung smart devices. With integrated solutions across four disease analysis program, breast cancer detection and key domains – telecom networks, IT, smart devices, and diagnosis system, liver cancer detection auxiliary diagnosis system and pathological artificial intelligence cloud services – we are committed to bringing digital auxiliary analysis system. In 2017, PVmed won 10 million Angel Wheel Investment, becoming the most to every person, home and organization for a fully powerful R&D company. connected, intelligent world.

Mindray is one of the leading global providers of medical devices and solutions based in Shenzhen. Baidu is the leading Chinese language Internet search Firmly committed to our mission of ”advance medical provider and the largest Chinese website globally. Baidu technologies to make healthcare more accessible”, aims to make the complicated world simpler through we are dedicated to innovation in the fields of Patient technology. Monitoring & Life Support, In-Vitro Diagnostics, and Medical Imaging System.

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SPONSORS SPONSORS

Platinum Sponsors Gold Sponsors National University of Defense Technology (NUDT) was founded in 1953 as Huiying (HY) Medical Technology Co. Ltd., with its the People’s Liberation Army (PLA) Military Academy of Engineering, or Harbin headquarter in Beijing, is a starte-level high tech Military Academy of Engineering. Grand General Chen Geng was appointed the company focusing on artifcial intelligence for medical first president and political commissar. In 2017, the university was rebuilt on the imaging. HY provides a complete set of medical basis of National University of Defense Technology, University of International diagnosis and data analysis solutions based on Relations, National Defense Information Institute, Xi’an Communication artifificial intelligence, cloud computing and big data, Institute, College of Electronic Engineering, and College of Meteorology and and is committed to create the intelligent, digital and Oceanography, PLA University of Science and Technology. The main campus mobile medical images. of the university is in Changsha, with other campus built in Changsha, Nanjing, Wuhan, Hefei and other places.

Gold Sponsors As a leading global medical technology and life sciences Deepwise.com is an AI company that works on medical company, we provide a broad portfolio of products, image analysis and its applications. The company is solutions and services used in the diagnosis, treatment located in the Zhongguancun technology hub, Beijing, and monitoring of patients and in the development and Shanghai and the AI Town, Hangzhou, China. Our manufacture of biopharmaceuticals. We help improve team is composed of PhDs and researchers from top outcomes for healthcare providers and for therapy universities and high-tech companies. innovators around the world. This means increased capacity, improved productivity and better patient outcomes. We also aim to support our customers in the pursuit of precision health: health care that is integrated, highly personalized to each patient’s needs and that reduces waste and inefficiency. We embrace a culture of NDI is a global leading innovator and manufacturer of respect, transparency, integrity and diversity. advanced 3D measurement technology systems, with over 45,000 installations worldwide. Our optical measurement and electromagnetic tracking solutions have been trusted by the world’s foremost manufacturers, organizations and Silver Sponsors institutes in medicine, industry, simulation, and academia. We commit to expand and redefine the possibilities of real- Claronav is dedicated to the development of surgical time 3D measurement and tracking technology. navigation solutions. It provides both components like MicronTracker or complete surgical navigation systems. MicronTracker can be used in a variety of guided procedures performed manually or using robotics. MicronTracker gives SenseTime is the world’s leading AI company, complete access to video images and depth information, focused on computer vision and deep learning. It has providing “eyesight” to a medical robot. independently developed a deep learning platform, supercomputing centers, and a range of AI technologies such as face recognition, image recognition, medical image analysis, etc. SenseTime also leads the market in almost all vertical industries. Imsight Technology is training AI to analyze medical images form CT, MRI and X-ray to microscopic cell images in cytopathology and histopathology for faster and more consistent disease detection using award winning deep- learning techniques. Imsight Technology has already set up R&D centers in Hong Kong, Shenzhen, Beijing and Chengdu, and has established research collaborations and product deployments with lots of hospitals in China.

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SPONSORS SPONSORS

Silver Sponsors Platinum Sponsors Student Travel Awards

The following Student Travel Awards are sponsored by Platinum Sponsors: NEC Corporation is a leader in the integration of IT and • United Imaging Intelligence (UII) Student Travel Award network technologies that benefit businesses and people • PVmed Student Travel Award around the world. With our cutting-edge AI technologies, • Mindray Student Travel Award we will continue to empower doctors, patients, and medical • Yitu Healthcare Student Travel Award institutions globally, and create new social value for the • Yizhun Medical AI Student Travel Award changing world of tomorrow. • Tencent AIMIS Student Travel Award • Huawei Student Travel Award • Baidu Student Travel Award • Huiying (HY) Medical Technology Student Travel Award JF Healthcare provides chest X-ray imagining solutions via state-of-the-art AI and cloud technologies to enable accountable, accessible, and affordable diagnostic services for grassroots healthcare facilities in China where certified radiologists are often not available. JF’s technologies have served about one thousand township hospitals and more than two millions people in China.

Assist AI, Accurate Display. ShenZhen Beacon Display Technology Co., Ltd. is a high-tech enterprise dedicate to medical display application and technology innovation, provides full medical imaging display solution, covers all medical imaging application areas.

Bronze Sponsor Other Sponsor

23 24 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

SPECIAL & SOCIAL EVENTS SPECIAL & SOCIAL EVENTS

The following social activities are organised during MICCAI 2019. They offer a fun and exciting way to Sports Soccer explore the city of Shenzhen, and great opportunities to connect with others. Join us on the evening of Wednesday, October 16th, 2019 for a soccer match! Ping An Finance Center Guided Tour Unveil your football talent and meet other participants! Meet us at the confer- ence center on Wednesday, October 16th, at 19:00 in your sports gear and we Ping An Finance Centre is the tallest building in Shenzhen, and the 4th tall- will go to the soccer field together by metro. est building in the world. The Free Sky Observation Deck is set on the 116th When: Wednesday, October 16th, 20:00 – 22:00 floor of the building at 541 meters high from the ground. You can enjoy 360 Where: Houhai Campus, Shenzhen University (near “Shenzhen University” degree views of the city and its surrounding areas, including Futian Port and metro station). Hong Kong. When: Sunday, October 13th, 19:00 – 21:00 Social Hiking Tour Pick up: Lobby, InterContinental Hotel Shenzhen (conference venue) After a fascinating conference week it’s time to explore the beautiful locations Morning Run around Shenzhen. Considered as the most beautiful trail in Shenzhen, this hik- ing tour starts from Zhongying Street at the border between Shenzhen and Join us for morning runs and start a long conference day full of energy! Simi- Hong Kong for a glimpse of one of the biggest container terminals in China. lar to previous years in Granada, Quebéc and Athens we meet at the lobby of The hike then continues along the coastline and the beach. There are steps in the convention center at 7:00 AM to join the runs on Monday, Tuesday, and certain sections but most of the trail is paved walkway or wooden boardwalk Wednesday. This year we will divide participants into two groups. First group and is accessible for everyone. The meeting point is the lobby of the confer- will follow a running route of approximately 5 kilometers, while the second ence venue. Don’t forget to pack some food, drinks, comfortable shoes and sunglasses! group will cover a distance of 8 kilometers. Both running routes will start and When: Friday, October 18th, 09:00 – 18:00 end at the conference center. We will take the pace of the slowest runner, so do come along regardless of Where: Shenzhen Coastline your pace! Participants must be fit and in good physical health to participate. Pick up: Lobby, InterContinental Hotel Shenzhen (conference venue) When: Monday, Tuesday and Wednesday, October 14th, 15th and 16th, 07:00 – 08:00 Where: Routes around the conference venue selected by the group leaders Women in MICCAI (WIM) Lunch Event

We invite all to join us at this lunch event that will bring women in MICCAI from different research areas Academia & Industry Night (A&I) and across all stages of their careers together, where they can meet and learn from each other. Our event will feature talks by three keynote speakers: Dr. Catherine Mohr, Dr. Lena Maier-Hein and Dr. Klaus Maier- Curious about the differences between academia and industry? Have Hein. questions about life after graduation? Look no further than the Academia & When: Wednesday, October 16th, 12:00 – 13:30 Industry night! This event will begin with a panel of top academics and industry Where: Galleon Room representatives driven by anonymous questions from you. Following this is a Attendance is free networking session, encouraging one-on-one discussion with the esteemed panelists, MICCAI sponsors, and other members of academia & industry in the room. Don’t forget your business cards! Light snacks and drinks will be provided. Women in MICCAI (WiM) Networking Event When: Monday, October 14th, 19:00 - 21:00 Where: Barcelona Room, InterContinental Hotel Shenzhen (conference venue) We invite all to this networking event that will bring women in MICCAI together to socialize and make connections over cocktails. When: Wednesday, October 16th, 18:30 – 20:30 Where: Galleon Room Attendance is free Sponsored by Ping An Technology

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SPECIAL & SOCIAL EVENTS GALA DINNER

MICCAI Music Event 2019 The Gala Dinner is on October 15 (Tuesday) at the China Folk Cultural Village. The village is only 5 min walk from the conference venue InterContinental Shenzhen and there is an exclusive access to the Village from Research can be a challenging task sometimes: long hours in the office, the hotel for MICCAI delegates. exhausting experiments in the lab, results and outcomes that do not fulfill our expectations. We all know how tough it can be to push yourself further and try The Village is known as the museum of Chinese ethnic minorities, featuring over 20 life-size villages, to perform your best. While scientific success is great, there is obviously more culture and traditions of various ethnic minorities of China. to life than papers and citations. Finding a balance in all of life’s aspects is the key to happiness and success. For many people a crucial ingredient to their life’s The dinner will be a standup buffet dinner oganized at the Mongolian yurt Saihan Tara inside the Village, equilibrium is music, whether by just listening to it, playing it for themselves and will be arranged in two sittings: or performing it for others on stage. Therefore, to remind us all about our work-life balance we again this First sitting: 18:00-19:30 hrs year are organizing the MICCAI Music Event 2019. After an exciting day at the conference on the 15th of Second sitting: 20:30-22:00 hrs October 2019, we are welcoming music performers from all genres to show us what they got! If you are a (Please refer to your ticket for the sitting assigned) genius at the guitar, play the drums like no other or have a beautiful singing voice that needs to be shared with the world, join us on this night and make it unforgettable. Groups are welcomed just as much as You are free to explore the Village any time before or after the show/dinner. Between the two sittings is the solo performers. More information and the details about how to apply can be found on the web: https:// “Dancing with Dragons and Phoenix” Show at the theatre where all MICCAI delegates are welcome. It is a www.miccai2019.org/social-activities/miccai-music-event-2019/. We are looking forward to seeing you all spectacular show with over 500 artists, featuring Chinese dances, musics, magical performances, telling at MICCAI 2019 to participate in a memorable evening. Let’s rock! Performers from all genres to show us the story of the Chinese civilization. what they got! If you are a genius at the guitar, play the drums like no other or have a beautiful singing (Upon your admission to the Village, you will be given a card with a seat number for the show) voice that needs to be shared with the world, join us on this night and make it unforgettable. Groups are welcomed just as much as solo performers. More information and the details about how to apply can be found on the web: https://www.miccai2019.org/social-activities/miccai-music-event-2019/. We are looking forward to seeing you all at MICCAI 2019 to participate in a memorable evening. Let’s rock! When: Tuesday, October 15th, 22:00-23:00 Where: China Folk Cultural Village (Gala Dinner venue) Sponsored by Ping An Technology

Sports Kung Fu

Join us for an introductory workshop of Wing Chun, a Southern Chinese style of Kung fu. It requires quick movements and it is an effective and popular form of self-defense. The course will take place in a Wing Chun academy with an experi- enced instructor in english. We will meet at 19:00 at the lobby of the conference venue and head to the class together. Participants must be fit and in good phys- ical health to participate. We advise you to bring athletic clothing for this event. When: Wednesday, October 16th, 20:00-22:00 Where: Wing Chun Academy (near “Nanshan” metro station/line 11)

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GALA DINNER

There is a direct entrance from the hotel to the China Folk Cultural Village. You can take the lift to ‘G’ Level, from where you need to exit the hotel building to reach the swimming pool. Walk along the swimming pool and you will see the entrance to the Village.

Dinner is in a Mongolian yurt and an air conditioned tent in front of the yurt.

29 30 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

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KEYNOTE: PROF. XIAOLIANG SUNNEY XIE

Date: Oct 14, 2019 (Mon) Time: 09:00-10:00 Venue: Espana Ballroom Keynote: Prof. Xiaoliang Sunney Xie Lee Shao-kee Professor, Director of the Biomedical Pioneering Innovation Center (BIOPIC), Director of the Beijing Innovation Center for (ICG), Title: Label-Free Optical Imaging with the Contrast of Molecular Vibration: Seeing the Invisibles for Biology and Medicine

Abstract: Stimulated Raman scattering (SRS) microscopy is a label-free and noninvasive imaging technique using vibration spectroscopy as the contrast mechanism. Highly sensitive, SRS has opened a wide range of biomedical applications, allowing for imaging small molecules, such as metabolites, drug molecules, or neurotransmitters.

Biography: Professor Xiaoliang Sunney Xie is an internationally renowned biophysical chemist, and the Lee Shao-kee professor of Peking University. After a career at Pacific Northwest National Laboratory, he became the first tenured professor at Harvard University among Chinese scholars who went to the US since the Reform in China. As a pioneer of single-molecule biophysical chemistry, coherent Raman scattering microscopy, and single-cell genomics, he made major contributions to the emergence of these fields. In particular, his inventions in single-cell genomics have been used in in vitro fertilization to benefit hundreds of couples in China by avoiding the transmission of monogenic diseases to their newborns.

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KEYNOTE: PROF. QIYONG GONG KEYNOTE: DR. CATHERINE MOHR

Date: Oct 15, 2019 (Tue) Date: Oct 16, 2019 (Wed) Time: 08:30-09:30 Time: 08:30-09:30 Venue: Espana Ballroom Venue: Espana Ballroom Keynote: Prof. Qiyong Gong Keynote: Dr. Catherine Mohr West China Hospital of Sichuan University (China) and Vice President of Strategy, Intuitive Surgical; President, Visiting Professor of Psychiatry at Yale University (USA) Intuitive Foundation Title: Psychoradiology: The Forefront of Clinical Title: Innovation in the Era of Value Based Healthcare Neuroimaging

Abstract: Abstract: In a traditional fee for service model for healthcare, new medical technology products were brought into Psychoradiology is an emerging subspecialty of radiology with growing intersection between the fields a system that evaluated therapies by themselves in isolation – were they effective enough in the single of clinical imaging, computational sciences, and psychiatry/psychology. It applies medical imaging patient to warrant use of this new device or drug? Even government-funded single-payer systems have technologies, particularly the multimodal MR imaging along with the state-of-the-art image analysis traditionally used a population-based average of this same concept of cost effectiveness. and image guided intervention (i.e., interventional psychoradiology) , to investigate and guide optimal treatment for mental disorders. Because brain alterations of psychiatric patients are relatively subtle, The current global move to true value-based healthcare requires an expansion from this traditional narrow quantitative, rapid and efficient image analysis tools that combine information from different imaging focus of evaluating the therapies in isolation. It is a systems-based approach, that must take into account analyses are needed to obtain actionable information about patients’ brain anatomy and function. The not just individual patient outcomes for the episode of care, but the effects of therapies on the workflow field of psychoradiology is shedding new light on the biologic basis of psychiatric disorders, and with in the hospital, dynamics at a population level, and even has repercussions into how a country trains and support of ongoing developments in image analysis, is primed to play a role in assisting psychiatrists/ credentials its doctors and nurses. This level of complexity presents challenges to both providers of care, clinical psychologists in making optimal diagnostic and treatment planning decisions for patients with and those who would develop tools for those providers to use. mental disorders. In her talk, Dr. Mohr will explore the history of our technological medical interventions, understanding Biography: measurements of value, and how to think about distinguishing price from value when developing the Qiyong Gong, MD, PhD, is Professor of Radiology at the West China Hospital of Sichuan University (China), next generation of medical devices. and Associate Editor of the American Journal of Psychiatry (USA). Biography: Prof. Gong’s research has focused on MR imaging of psychiatric disorders. He has played a central role Dr. Catherine Mohr is Vice President of Strategy at Intuitive Surgical and President of the Intuitive in the development of the field of psychoradiology, a subfield of neuroradiology devoted to translating Foundation. In these dual roles she evaluates new technologies and studies the dynamics of emerging psychiatric imaging research to advance diagnostic and therapeutic practice in clinical psychiatry. He has markets for Intuitive, and in her Foundation role guides research and philanthropic programs aimed at published over 300 peer-reviewed articles, with an h-index of 72, and he is a Highly Cited Researcher by improving education and reducing the global burden of disease. Clarivate Analytics. Recognition of his contributions led to his being asked to provide an invited review of psychoradiology for Radiology, the leading journal in the field of radiology. He is now editing an issue Dr. Mohr received her BS and MS in mechanical engineering from MIT, and her MD from Stanford on Psychoradiology for Neuroimaging Clinics of North America, an internationally important education University School of Medicine. She has been involved with numerous startup companies in the areas of series for practicing radiologists, radiology residents, and other related clinical professionals. Prof. Gong alternative energy transportation, high altitude aircraft, high efficiency fuel cell power systems, computer presented the NIBIB New Horizons Lecture to the 23rd International Society of Magnetic Resonance in aided design software, and medical devices. Medicine (ISMRM) Annual Meeting in 2015, and he received the ISMRM Senior Fellow Award in 2016. Dr. Mohr has served as a scientific advisor for several med tech startups globally and government Prof. Gong is the Chair of ISMRM Governing Committee of the Psychiatric MR Study Group, and the technology development programs in her native New Zealand. President of the Overseas Chinese Society of Magnetic Resonance in Medicine.

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INDUSTRY FORUM KEYNOTE: PROF. SHIYUAN LIU CONFERENCE PROGRAM

Date: Oct 14, 2019 (Mon) Monday, October 14, 2019 Time: 14:00-14:30 07:00-08:00 MICCAI Running Venue: Espana Ballroom 07:00-17:00 Registration Keynote: Prof. Shiyuan Liu 08:00-09:00 Welcome Changzheng Hospital, China 09:00-10:00 Keynote Session #1 Title: AI Medical Imaging in China: Now and Future Label-Free Optical Imaging with the Contrast of Molecular Vibration: Seeing the Invisibles for Biology and Medicine Professor Xiaoliang Sunney Xie 10:00-10:30 Coffee Break 10:30-12:00 Oral Session 1: Computer Aided Diagnosis, Detection and Classification Chairs: Xiaohuan Cao, Heung-Il Suk Abstract: With the rapid development of technologies such as big data and deep learning, the research and 10:30 Uncertainty-informed Detection of Epileptogenic Brain Malformations Using applications of artificial intelligence in medical field has achieved initial results. At present, medical Bayesian Neural Networks imaging artificial intelligence (AI) has entered the key period, how should we deal with it? The speaker, Ravnoor Gill; Benoit Caldairou; Neda Bernasconi; Andrea Bernasconi Prof. Shiyuan Liu, President-Elect of the Chinese Society of Radiology, will talk about the status, experience, 10:38 Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy and challenges regarding AI research, applications, and regulatory in the clinical/radiology workflow Classification specifically in hospitals in China. He will also share his thoughts and insights in leading the national efforts Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, of AI innovation by synergizing the academic, industry, and clinical strengths. Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof Biography: 10:46 Accelerated ML-assisted Tumor Detection in High-Resolution Histopathology Prof. Shiyuan Liu, Professor and Chairman of the Department of Radiology in the ChangZheng Hospital Images in Shanghai, China. He is the President-Elect of the Chinese Society of Radiology and of the Asian Society Nikolas Ioannou, Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali of Chest Radiology. Dr. Liu serves as the President of the Chinese Medical Imaging AI Innovation Alliance Andani, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis and leads the national efforts of AI research and applications in radiology. Dr. Liu received approximately 10:54 Detecting Cannabis-Associated Cognitive Impairment using Resting-state fNIRS $6 million research grants from Chinese National Science Foundation, Ministry of Science and Technology, Yingying Zhu, Jodi Gilman, Anne Evins, Mert Sabuncu and Shanghai Local Research Foundation. Dr. Liu is the Editor-in-Chief of the Oncoradiology journal. He has published more than 321 journal papers and authored 9 books. Dr. Liu is specialized in chest radiology 11:02 LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke especially in lung cancer screening and clinical imaging diagnosis with more than 30 years of experience. Yannan Yu, Bhargav Parsi, William Speier, Corey Arnold, Min Lou, Fabien Scalzo 11:10 Hand Pose Estimation for Pediatric Bone Age Assessment Maria Escobar, Cristina González, Felipe Torres, Laura Daza, Gustavo Triana, Pablo Arbelaez 11:18 Texture-based Classification of Significant Stenosis in CCTA Multi-View Images of Coronary Arteries Antonio Tejero-De-Pablos, Kaikai Huang, Hiroaki Yamane, Yusuke Kurose, Yusuke Mukuta, Yasushi Koyama, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Tatsuya Harada 11:26 Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael Gotway, Jianming Liang 11:34 Decoding Brain Functional Connectivity Implicated in AD and MCI Sukrit Gupta, Yi Hao Chan, Jagath Rajapakse

37 38 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

CONFERENCE PROGRAM CONFERENCE PROGRAM

Monday, October 14, 2019 (Cont.) Tuesday, October 15, 2019 11:42-12:00 Questions and Discussion 07:00-08:00 MICCAI Running 12:00-13:00 Lunch; Poster Session #1: Microscopy and Photo-optical Imaging 07:30-17:00 Registration 13:00-14:00 Lunch; Poster Session #2: NeuroImaging 08:30-09:30 Keynote Session #2 Psychoradiology: The Forefront of Clinical Neuroimaging 14:00-15:30 Industry Forum Professor Qiyong Gong Chairs: Yiqiang Zhan, Xiaodong Tao Keynote: AI Medical Imaging in China: Now and Future 09:30-10:00 Coffee Break Prof. Shiyuan Liu 10:00-11:30 Oral Session 3: Reconstruction and Synthesis Panel Discussion Chairs: Mingxia Liu, Sotirios Tsaftaris 15:30-16:30 Coffee Break; Poster Session #3: Segmentation and Registration 1 10:00 Attenuation Imaging with Pulse-Echo Ultrasound based on an Acoustic Reflector 16:30-17:30 MICCAI Society: New Fellows and Enduring Impact Award Richard Rau, Ozan Unal, Dieter Schweizer, Valery Vishnevskiy, Orcun Goksel MICCAI General Assembly 10:08 Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging 17:30-18:30 Oral Session 2: Industry Session Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang Chairs: Sean Zhou, Islem Rekik 10:16 Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices 17:30 Siemens: Quantifying and Leveraging Classification Uncertainty for Chest Reconstruction and Noise Reduction in Thick Low-Dose CT Radiograph Assessment Rongjun Ge, Guanyu Yang, Chenchu Xu, Yang Chen, Limin Luo, Shuo Li Florin Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Guendel, Mannudeep Kalra, 10:24 Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice- Ramandeep Singh, Subba Digumarthy, Sasa Grbic, Dorin Comaniciu Undersampled Data Using Graph Convolutional Neural Networks 17:38 Tencent: Pairwise Semantic Segmentation via Conjugate Fully Convolutional Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen Network 10:32 Detection and Correction of Cardiac MRI Motion Artefacts during Reconstruction Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng from k-space 17:46 Ping An AI Institute (PAII): Accurate Esophageal Gross Tumor Volume Segmentation Ilkay Oksuz, James Clough, Bram Ruijsink, Esther Puyol-Anton, Aurelien Bustin, Gastao in PET/CT using Two-Stream Chained 3D Deep Network Fusion Cruz, Claudia Prieto, Daniel Rueckert, Andrew King, Julia Schnabel Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu 10:40 Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction 17:54 United Imaging Intelligence (UII): Dynamic Spectral Convolution Networks with Haofu Liao, -An Lin, Jianbo Yuan, S. Kevin Zhou, Jiebo Luo Assistant Task Training for Early MCI diagnosis 10:48 Wavelet-Based Semi-Supervised Adversarial Learning for Synthesizing Realistic Xiaodan Xing, Qingfeng Li, Hao Wei, Minqing Zhang, Yiqiang Zhan, Xiang Zhou, Zhong 7T from 3T MRI Xue, Feng Shi Liangqiong Qu, Shuai Wang, Pew-Thian Yap, Dinggang Shen 18:02 Malong: Dual-Stream Pyramid Registration Network 10:56 Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Miao Kang, Xiaojun , Weilin Huang, Matthew Scott, Roland Wiest, Mauricio Reyes Image Reconstruction in vivo 18:10 Lunit: PseudoEdgeNet: Nuclei Segmentation only with Point Annotations Hengrong Lan, Kang Zhou, Changchun Yang, Jun Cheng, Jiang Liu, Shenghua Gao, Fei Inwan Yoo, Donggeun Yoo, Kyunghyun Paeng Gao 18:18-18:30 Questions and Discussion 11:04 VS-Net: Variable Spitting Network for Accelerated Parallel MRI Reconstruction Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib 19:00-20:00 Academia & Industry: Panel Discussion - When Academia Meet Industry & Clinician Bello, Ben Statton, Declan O’Regan, Daniel Rueckert 20:00-21:00 Academia & Industry: Networking 11:12 -11:30 Questions and Discussion 11:30-12:30 Lunch; Poster Session #4: Segmentation and Registration 2 12:30-13:00 Lunch

39 40 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

CONFERENCE PROGRAM CONFERENCE PROGRAM

Tuesday, October 15, 2019 (Cont.) Tuesday, October 15, 2019 (Cont.) 13:00-14:00 Lunch; Poster Session #5: Reconstruction, Synthesis and Image Quality 16:38 Doubly Weak Supervision of Deep Learning Models for Head CT Khaled Saab, Jared Dunnmon, Roger Goldman, Alexander Ratner, Hersh Sagreiya, 14:00-15:30 Oral Session 4: Registration and Segmentation Christopher Re, Daniel Rubin Chairs: Marius Staring, Xiaoying Tang 16:46 Generative Adversarial Network for Segmentation of Motion Affected Neonatal 14:00 Liver Segmentation in Magnetic Resonance Imaging via Mean Shape Fitting with Brain MRI Fully Convolutional Neural Networks Nadieh Khalili, Elise Turk, Majd Zreik, Max Viergever, Manon Benders, Ivana Isgum Zeng, Davood Karimi, Emily HT Pang, Shahed Mohammed, Caitlin Schneider, Mohammad Honarvar, Septimiu Salcudean 16:54 Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI 14:08 Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Gavin Seegoolam, Chen Qin, Jo Schlemper, Anthony Price, Joseph Hajnal, Daniel images Rueckert Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen Petersen,Wenjia Bai, Daniel Rueckert 17:02 Agent with Warm Start and Active Termination for Plane Localization in 3D 14:16 A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Ultrasound Evaluation on Longitudinal White Matter Tract Changes Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Bo Li, Wiro Niessen, Stefan Klein, Marius de Groot, M. Arfan Ikram, Meike Vernooij, Esther Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni Bron 17:10 Harmonization of Infant Cortical Thickness using Surface-to-Surface Cycle- 14:24 On the Applicability of Registration Uncertainty Consistent Adversarial Networks Jie Luo, Alireza Sedghi, Karteek Popuri, Dana Cobzas, Miaomiao Zhang, Frank Preiswerk, Fenqiang , Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Matthew Toews, Alexandra Golby, Masashi Sugiyama, William Wells III, Sarah Frisken Li 14:32 TopAwaRe: Topology-Aware Registration Rune Nielsen, Sune Darkner, Aasa Feragen 17:18-17:30 Questions and Discussion 14:40 Anatomical Priors for Image Segmentation via Post-Processing with Denoising 18:00-22:00 Gala Dinner at China Folk Cultural Village Autoencoders You will enjoy the “The Dragon and Phoenix” Show before or after dinner. It is a Agostina Larrazabal, Cesar Martinez, Enzo Ferrante spectacular show about Chinese folk legends, dancing, opera, and sports, combined with amazing staging and lighting effects. 14:48 Fast and Accurate Electron Microscopy Image Registration with 3D Convolution Shenglong Zhou, Zhiwei Xiong, Chang Chen, Xuejin Chen, Dong Liu, Yueyi Zhang, 22:00-23:00 MICCAI Music Event at China Folk Cultural Village Zheng-Jun Zha, Feng Wu 14:56 Nuclei Segmentation in Histopathological Images using Two-Stage Learning Qingbo Kang, Qicheng Lao, Thomas Fevens 15:04 Uncertainty Guided Semisupervised Segmentation of Retinal Layers in OCT images Suman Sedai, Bhavna Antony, Ravneet Rai, Katie Jones, Hiroshi Ishikawa, Joel Schuman, Wollstein Gadi, Rahil Garnavi 15:12-15:30 Questions and Discussion 15:30-16:30 Coffee Break; Poster Session #6: Computer-Aided Diagnosis, Detection and Classification 1 16:30-17:30 Oral Session 5: Doctoral Symposium Chairs: Junzhou Huang, Dajiang Zhu 16:30 Fully Convolutional Boundary Regression for Retina OCT Segmentation Yufan He, Aaron Carass, Yihao Liu, Bruno Jedynak, Sharon Solomon, Shiv Saidha, Peter Calabresi, Jerry Prince

41 42 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

CONFERENCE PROGRAM CONFERENCE PROGRAM

Wednesday, October 16, 2019 Wednesday, October 16, 2019 (Cont.) 07:00-08:00 MICCAI Morning Run 11:30-12:30 Lunch; Poster Session #7: Computer-Aided Diagnosis, Detection and Classification 2 07:30-17:00 Registration 12:00-13:30 Women in MICCAI Lunch 08:30-09:30 Keynote #3 12:30-13:00 Lunch Innovation in the Era of Value Based Healthcare 13:00-14:00 Lunch; Poster Session #8: Computer Assisted Interventions Dr. Catherine Mohr 14:00-15:30 Oral Session 7: MIC meets CAI 09:30-10:00 Coffee Break Chairs: Stefanie Speidel, Elvis Chen 10:00-11:30 Oral Session 6: Computer Assisted Interventions 14:00 Real-time 3D Reconstruction of Colonoscopic Surfaces for Determining Missing Chairs: Xiongbiao Luo, Anirban Mukhopadhyay regions 10:00 Markerless Image-to-Face Registration for Untethered Augmented Reality in Ruibin Ma, Rui Wang, Sarah Mcgill, Julian Rosenman, Stephen Pizer, Jan-Michael Frahm Head and Neck Surgery 14:08 Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Christina Gsaxner, Antonio Pepe, Jürgen Wallner, Dieter Schmalstieg, Jan Egger Field 10:08 Direct Visual and Haptic Volume Rendering of Medical Data Sets for an Immersive Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li Exploration in Virtual Reality 14:16 Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Balázs Faludi, Esther Zoller, Nicolas Gerig, Azhar Zam, Georg Rauter, Philippe C. Cattin Minimally Invasive Surgery Video 10:16 ARAMIS: Augmented Reality Assistance for Minimally Invasive Surgery using a Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng Head-Mounted Display 14:24 Captioning Ultrasound Images Automatically Long Qian, Xiran Zhang, Anton Deguet, Peter Kazanzides Mohammad Alsharid, Harshita Sharma, Lior Drukker, Pierre Chatelain, Aris 10:24 Physics-based Deep Neural Network for Augmented Reality during Liver Surgery Papageorghiou, Alison Noble Jean-Nicolas Brunet, Andrea Mendizabal, Antoine Petit, Nicolas Golse, Eric Vibert, 14:32 Deep Learning-based Universal Beamformer for Ultrasound Imaging Stephane Cotin Shujaat Khan, Jaeyoung Huh, Jong Chul Ye 10:32 Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac 14:40 Discriminative Correlation Filter Network for Robust Landmark Tracking in Ultrasound Using Pyramid-UNet with Hybrid Loss Ultrasound Guided Intervention Hongxu Yang, Caifeng Shan, Tao Tan, Alexander F. Kolen, Peter H.N. de With Chunxu Shen, Jishuai He, Yibin Huang, Jian Wu 10:40 A Sparsely Distributed Intra-cardial Ultrasonic Array for Real-time Endocardial 14:48 Towards Whole Placenta Segmentation at Late Gestation Using Multi-View Mapping Ultrasound Images Alon Baram, Hayit Greenspan, Zvi Friedman Veronika Zimmer, Alberto Gomez, Emily Skelton, Nicolas Toussaint, Tong Zhang, Bishesh 10:48 Semi-autonomous Robotic Anastomoses of Vaginal Cuffs using Marker Enhanced Khanal, Robert Wright, Yohan Noh, Alison Ho, Jacqueline Matthew, Joseph Hajnal, Julia 3D Imaging and Path Planning Schnabel Michael Kam, Hamed Saeidi, Shuwen Wei, Justin Opfermann, Simon Leonard, Michael 14:56 Investigating the Role of VR in a Simulation-based Medical Planning System for Hsieh, Jin Kang, Axel Krieger Coronary Interventions 10:56 Free-view, 3D Gaze-Guided Robotic Scrub Nurse Madhurima Vardhan, Harvey Shi, John Gounley, S. James Chen, Andrew Kahn, Jane Alexandros Kogkas, Ahmed Ezzat, Rudrik Thakkar, Ara Darzi, George Mylonas Leopold, Amanda Randles 11:04 Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT 15:04 Learning Where to Look While Tracking Instruments in Robot-assisted Surgery Trajectories Mobarakol Islam, Yueyuan Li, Hongliang Ren Jan-Nico Zaech, Cong Gao, Bastian Bier, Russ Taylor, Andreas Maier, Nassir Navab, 15:12-15:30 Questions and Discussion Mathias Unberath 15:30-16:30 Coffee Break; Poster Session #9: MIC meets CAI 11:12- 11:30 Questions and Discussion 16:30-17:30 MICCAI Challenges

43 44 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

CONFERENCE PROGRAM Welcome to Shenzhen! Wednesday, October 16, 2019 (Cont.) Shenzhen has become the center for technology, finance and innovation. Many 17:30-18:30 Closing/Prizes famous companies located in Shenzhen are listed in The Fortune Global 500, 18:30-20:30 Women in MICCAI Networking Event like Huawei (founded in 1987), the world’s leading provider of information and 20:00-22:00 MICCAI Soccer; Kung fu Lesson communication infrastructure and smart terminals; Tencent (founded in 1998), one of the World’s Top 10 Internet Companies know for its apps, online games, and messaging services like WeChat and QQ; and Ping An (founded in 1988), which is growing as the largest financial company in China. Beisdes, BYD, DJI are creating a complete, clean-energy ecosystem, or manufacturing unmanned aerial vehicles for aerial photography and videography.

45 46 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS

Over 500 posters will be displayed during MICCAI 2019. The poster sessions are designed to provide an opportunity for papers to be presented in detail and facilitate vivid discussions with attendees. Authors are expected to remain in the vicinity of the poster boards for the duration of the assigned poster sessions to answer questions.

Authors should prepare their posters before the poster session. The poster must not exceed the boundaries of the display board and A0 size (portrait) is recommended.

All posters will be torn down on October 16 at 17:00. If you would like to keep your posters, please collect your posters from the poster boards before this time. Uncollected posters will be disposed of after October 16 at 17:00.

M1 W7

M2 W8

M3 W9

T4

T5

T6

47 48 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS

Session 1: Microscopy and Photo-optical Imaging M-1-B-109 Enhanced Cycle-Consistent Generative Adversarial Network for Color Normalization of H&E Stained Images Monday, October 14, 12:00 – 13:00 Niyun Zhou, De Cai, Xiao Han, Jianhua Yao M-1-B-005 Synapse-Aware Skeleton Generation for Neural Circuits M-1-B-114 Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Brian Matejek, Donglai Wei, Xueying Wang, Jinglin Zhao, Kalman Palagyi, Hanspeter Transfer Pfister Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman M-1-B-014 High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading M-1-B-123 Multiclass Segmentation as Multitask Learning for Drusen Segmentation in and Lesions Retinal Optical Coherence Tomography Yi Zhou, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao Rhona Asgari, Jose Orlando, Sebastian Waldstein, Ferdinand Schlanitz, Magdalena M-1-B-023 CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic Segmentation M-1-B-132 Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Mou, Yitian Zhao, Li Chen, Jun Cheng, Zaiwang , Huaying Hao, Hong Qi, Yalin Slide Image Classifier Zheng, Alejandro Frangi, Jiang Liu Hanbo Chen, Xiao Han, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Junzhou Huang, Jianhua M-1-B-032 DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Yao Deep Convolutional Neural Networks M-1-B-135 Nuclei Segmentation in Histopathological Images using Two-Stage Learning Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Qiao Jie, Yi Zhao Qingbo Kang, Qicheng Lao, Thomas Fevens M-1-B-041 From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network M-1-B-158 Unifying Structure Analysis and Surrogate-driven Function Regression for for Histopathology Cancer Image Classification Glaucoma OCT Image Screening Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Mingkui Tan, Qingyao Xi Wang, Hao Chen, Luyang Luo, An-Ran Ran, Poemen Pui Man Chan, Clement Chee Wu, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Junzhou Yung Tham, Carol Yim Lui Cheung, Pheng-Ann Heng Huang M-1-M-163 CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in M-1-B-048 Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Unsupervised Optic Disc and Cup Segmentation Image Reconstruction in vivo Peng Liu, Bin Kong, Li Zhongyu, Shaoting Zhang, Ruogu Fang Hengrong Lan, Kang Zhou, Changchun Yang, Jun Cheng, Jiang Liu, Shenghua Gao, Fei Gao M-1-M-179 Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations Han Le, Dimitris Samaras, Tahsin Kurc, Rajarsi Gupta, Shroyer Kenneth, Joel Saltz M-1-B-057 A Deep Reinforcement Learning Framework for Frame-by-frame Plaque Tracking on Intravascular Optical Coherence Tomography Image M-1-M-188 Uncertainty Guided Semisupervised Segmentation of Retinal Layers in OCT Gongning Luo, Suyu Dong, Kuanquan Wang, Dong Zhang, Yue Gao, Xin Chen, Henggui Images Zhang, Shuo Li Suman Sedai, Bhavna Antony, Ravneet Rai, Katie Jones, Hiroshi Ishikawa, Joel Schuman, Wollstein Gadi, Rahil Garnavi M-1-B-071 Multi-Index Optic Disc Quantification via MultiTask Ensemble Learning Rongchang Zhao, Zailiang Chen, Xiyao Liu, Beiji Zou, Shuo Li M-1-M-193 Fully Deep Learning for Slit-lamp Photo based Nuclear Cataract Grading Chaoxi Xu, Xiangjia Zhu, Wenwen He, Yi Lu, Xixi He, Zongjiang Shang, Jun Wu, Keke M-1-B-080 PM-NET: Pyramid Multi-Label Network for Optic Disc and Cup Segmentation Zhang, Yinglei Zhang, Xianfang Rong, Zhennan Zhao, Lei Cai, Dayong , Xirong Li Pengshuai Yin, Qingyao Wu, Yanwu Xu, Huaqing Min, Ming Yang, Yubing Zhang, Mingkui Tan M-1-M-202 PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis M-1-B-090 IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation Zixu Zhao, Huangjing Lin, Hao Chen, Pheng-Ann Heng Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng M-1-M-209 Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality M-1-B-099 Patch Transformer for Multi-tagging Whole Slide Histopathology Images Microscopy Image Quantification Weijian Li, Viet-Duy Nguyen, Haofu Liao, Matt Wilder, Ke Cheng, Jiebo Luo Fuyong Xing, Tell Bennett, Debashis Ghosh M-1-M-218 Deep Segmentation-Emendation Model for Gland Instance Segmentation Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia

49 50 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 1: Microscopy and Photo-optical Imaging M-1-M-322 Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes Monday, October 14, 12:00 – 13:00 (Cont.) Jingru Yi, Pengxiang Wu, Hui Qu, Qiaoying Huang, Daniel J. Hoeppner, Dimitris Metaxas, Bo Liu M-1-M-223 Attention Guided Network for Retinal Image Segmentation M-1-M-332 Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction, and Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Functional Statistics to Understand Fixation in Fluorescence Microscopy Mingkui Tan, Yanwu Xu Neel Dey, Jeffrey Messinger,Roland Theodore Smith, Christine Curcio, Guido Gerig M-1-M-232 Deep Instance-Level Hard Negative Mining Model for Histopathology Images M-1-F-347 Vessel-Net: Retinal Vessel Segmentation under Multi-path Supervision Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian Lovell Yicheng Wu, Yong Xia, Yang Song, Donghao Zhang, Dongnan Liu, Chaoyi Zhang, M-1-M-239 EDA-Net: Dense Aggregation of Deep and Shallow Information Achieves Weidong Cai Quantitative Photoacoustic Blood Oxygenation Imaging Deep in Human Breast M-1-F-356 Limited-Angle Diffuse Optical Tomography Image Reconstruction using Deep Changchun Yang, Fei Gao Learning M-1-M-248 As Easy as 1, 2... 4? Uncertainty in Counting Tasks for Medical Imaging Hanene Ben Yedder, Majid Shokoufi, Ben Cardoen, Farid Golnaraghi, Ghassan Hamarneh Zach Eaton-Rosen, Thomas Varsavsky, Sebastien Ourselin, Jorge Cardoso M-1-F-374 CORAL8: Concurrent Object Regression for Area Localization in Medical Image M-1-M-253 Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Panels Analysis Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu, Brian Lovell Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng- M-1-F-380 Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images Ann Heng Yuyu Guo, Lei Bi, Ashnil Kumar, Yue Gao, Ruiyan Zhang, Dagan Feng, Qian Wang, Jinman M-1-M-262 Progressive Learning for Neuronal Population Reconstruction from Optical Kim Microscopy Images M-1-F-394 Precise Separation of Adjacent Nuclei using a Siamese Neural Network Jie Zhao, Xuejin Chen, Zhiwei Xiong, Dong Liu, Junjie Zeng, Yueyi Zhang, Zheng-Jun Miguel Luna, Kwon Mungi, Sang Hyun Park Zha, Guoqiang Bi, Feng Wu M-1-F-403 Biological Age Estimated from Retinal Imaging: A Novel Biomarker of Aging M-1-M-269 Encoding Histopathological WSIs using GNN for Scalable Diagnostically Relevant Chi Liu, Wei Wang, Zhixi Li, Yu Jiang, Xiaotong Han, Jason Ha, Wei Meng, Mingguang He Regions Retrieval Yushan Zheng, Bonan Jiang, Jun Shi, Haopeng Zhang, Fengying Xie M-1-F-408 Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models M-1-M-278 Weakly Supervised Cell Instance Segmentation by Propagating from Detection Takayasu Moriya, Hirohisa Oda, Midori Mitarai, Shota Nakamura, Holger Roth, Masahiro Response Oda, Kensaku Mori Kazuya Nishimura, Ker Dai Fei Elmer, Ryoma Bise M-1-F-422 Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological M-1-M-283 Synthetic Patches, Real images: Screening for Centrosome Aberrations in EM Image Classification and Retrieval Images of Human Cancer Cells Tingying Peng, Melanie Boxberg, Wilko Weichert, Nassir Navab, Carsten Marr Artem Lukoyanov, Isabella Haberbosch, Constantin Pape, Alwin Kraemer, Yannick Schwab, Anna Kreshuk M-1-E-451 Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low- Frame-Rate M-1-M-292 GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy Junya Hayashida, Ryoma Bise Laxmi Gupta, Barbara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr M-1-E-456 Deep Multi-Instance Learning for Survival Prediction from Whole Slide Images M-1-M-299 Evidence Localization for Pathology Images using Weakly Supervised Learning Jiawen Yao, Xinliang Zhu, Junzhou Huang Yongxiang Huang, Albert Chung M-1-E-461 Combined Learning for Similar Tasks with Domain-Switching Networks M-1-M-308 Active Appearance Model Induced Generative Adversarial Networks for Controlled Daniel Bug, Dennis Eschweiler, Qianyu Liu, Justus Schock, Leon Weninger, Friedrich Data Augmentation Feuerhake, Julia Schüler, Johannes Stegmaier, Dorit Merhof Jianfei Liu, Christine Shen, Tao Liu, Nancy Aguilera, Johnny Tam M-1-E-467 PlacentaNet: Automatic Morphological Characterization of Placenta Photos with M-1-M-313 Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Deep Learning Resolution Neural Network and Spatial Constrained Loss Yukun Chen, Chenyan Wu, Zhuomin Zhang, Jeffery Goldstein, Alison Gernand, James Hui Qu, Zhennan Yan, Gregory Riedlinger, Subhajyoti De, Dimitris Metaxas Wang

51 52 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 1: Microscopy and Photo-optical Imaging Session 2: NeuroImaging Monday, October 14, 12:00 – 13:00 (Cont.) Monday, October 14, 13:00 – 14:00 M-1-E-476 ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell M-2-B-001 Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models Detection in Multiplex Immunohistochemistry Images with Deep SHORE Yeman Brhane Hagos, Priya Narayanan, Ayse U. Akarca, Teresa Marafioti, Yinyin Yuan Vishwesh Nath, Ilwoo Lyu, Kurt Schilling, Prasanna Parvathaneni, Colin Hansen, Yucheng Tang, Justin Blaber, Yuankai Huo, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Adam M-1-E-485 Unsupervised Subtyping of Cholangiocarcinoma Using A Deep Clustering Anderson, Bennett Landman Convolutional Autoencoder Hassan Muhammad, Carlie S. Sigel, Gabriele Campanella, Thomas Boerner, Linda M. M-2-B-010 Autism Classification Using Topological Features and Deep Learning: A Cautionary Pak, Stefan Büttner, Jan N.M. Ijzermans, Bas Groot Koerkamp, Michael Doukas, William Tale Jarnagin, Amber Simpson, Thomas Fuchs Archit Rathore, Sourabh Palande, Jeffrey Anderson, Brandon Zielinski, Tom Fletcher, Bei Wang M-1-E-496 Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy Images M-2-B-019 Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-rank Ario Sadafi,Niklas Koehler, Asya Makhro, Anna Bogdanova, Nassir Navab, Carsten Marr, Feature Learning Tingying Peng Yujia Zhao, Haijun Lei, Ee-Leng Tan, Jong Yih Kuo, Hancong Li, Baiying Lei M-1-E-505 Whole-Sample Mapping of Cancerous and Benign Tissue Properties M-2-B-028 A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics Lydia Neary-Zajiczek, Clara Essmann, Neil Clancy, Aiman Haider, Elena Miranda, Amir Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon Risacher, Junwei Han, Lei Guo, Andrew Gander, Mike Shaw, Brian Davidson, Delmiro Fernandez Reyes, Vijay Pawar, Danail Saykin, Li Shen Stoyanov M-2-B-037 Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal M-1-E-514 Accelerated ML-assisted Tumor Detection in High-Resolution Histopathology Brain Network Evolution from a Single Observation Images Baha Eddine Ezzine, Islem Rekik Nikolas Ioannou, Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali M-2-B-044 Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction Andani, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis Tao Zhou, Kim-Han Thung, Yu Zhang, Huazhu Fu, Jianbing Shen, Dinggang Shen, Ling M-1-E-516 Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Shao Learning Framework M-2-B-053 Combining Multiple Behavioral Measures and Multiple Connectomes via Multiway Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir Rajpoot Canonical Correlation Analysis M-1-E-521 Synthetic Augmentation and Feature-based Filtering for Improved Cervical Siyuan Gao, Xilin Shen, Todd Constable, Dustin Scheinost Histopathology Image Classification M-2-B-062 Revealing Functional Connectivity by Learning Graph Laplacian Yuan Xue, Qianying Zhou, Jiarong Ye, L.Rodney Long, Sameer Antani, Carl Cornwell, Minjeong Kim, Amr Moussa, Peipeng Liang, Daniel Kaufer, Paul Laurienti, Guorong Wu Zhiyun Xue, Xiaolei Huang M-2-B-067 Constructing Multi-Scale Connectome Atlas by Learning Common Topology of M-1-E-526 Coidentification of Group-Level Hole Structures in Brain Networks via Hodge Brain Networks Laplacian Minjeong Kim, Xiaofeng Zhu, Ziwen Peng, Peipeng Liang, Daniel Kaufer, Paul Laurienti, Hyekyoung Lee, Moo Chung, Hyejin Kang, Hongyoon Choi, Youngmin Huh, Seunggyun Guorong Wu Ha, Eunkyung Kim, Dong Soo Lee M-2-B-076 Super-Resolved q-Space Deep Learning M-1-E-531 Diverse Multiple Prediction on Neural Image Reconstruction Chuyang Ye, Yu Qin, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Zhiwen Liu Ze Ye, Cong Chen, Changhe Yuan, Chao Chen M-2-B-084 Unsupervised deep learning for Bayesian brain MRI segmentation M-1-E-536 Local and Global Consistency Regularized Mean Teacher for Semi-supervised Adrian Dalca, Evan Yu, Polina Golland, Bruce Fischl, Mert Sabuncu, Juan Iglesias Nuclei Classification Hai Su, Xiaoshuang Shi, Jinzheng Cai, Lin Yang M-2-B-094 Hydranet: Data Augmentation for Regression Neural Networks Florian Dubost, Gerda Bortsova, Hieab Adams, M. Arfan Ikram, Wiro Niessen, Meike Vernooij, Marleen de Bruijne

53 54 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS M-2-M-198 A Novel Graph Wavelet Model for Brain Multi-Scale Activational-connectional Session 2: NeuroImaging Feature Fusion Monday, October 14, 13:00 – 14:00 (Cont.) Wenyan Xu, Qing Li, Zhiyuan Zhu, Xia Wu M-2-M-207 Integrating Neural Networks and Dictionary Learning for Multidimensional M-2-B-103 Symmetric Dual Adversarial Connectomic Domain Alignment for Predicting Clinical Characterizations from Functional Connectomics Data Isomorphic Brain Graph From a Baseline Graph Niharika D’Souza, Mary Beth Nebel, Nicholas Wymbs, Stewart Mostofsky, Archana Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik Venkataraman M-2-B-110 Surface-based Tracking of U-fibers in the Superficial White Matter M-2-M-213 Constructing Consistent Longitudinal Brain Networks by Group-wise Graph Jin Kyu Gahm, Yonggang Shi Learning M-2-B-119 Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference Md Turja, Leo Zsembik, Guorong Wu, Martin Styner Christian Wachinger, Benjamin Gutierrez Becker, Anna Rieckmann, Sebastian Pölsterl M-2-M-222 DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber M-2-B-128 Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Tractography Branching Trajectories Itay Benou, Tammy Riklin Raviv Vianney Debavelaere, Alexandre Bône, Stanley Durrleman, Stéphanie Allassonnière M-2-M-228 Variational Autoencoder for Regression: Application to Brain Aging Analysis M-2-B-139 Neural Parameters Estimation for Brain Tumor Growth Modeling Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Tuo Leng, Kilian Pohl Ivan Ezhov, Jana Lipkova, Suprosanna Shit, Florian Kofler, Nore Collomb, Benjamin M-2-M-237 Interpretable Feature Learning Using Multi-Output Takagi-Sugeno-Kang Fuzzy Lemasson, Emmanuel Barbier, Bjoern Menze System for Multi-center ASD Diagnosis M-2-B-147 Preprocessing, Prediction and Significance: Framework and Application to Brain Jun Wang, Ying Zhang, Tao Zhou, Zhaohong Deng, Huifang Huang, Wang Shitong Imaging M-2-M-243 AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Martin Nørgaard, Brice Ozenne, Claus Svarer, Vibe Frokjaer, Martin Schain, Stephen Segmentation Strother, Melanie Ganz Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis De M-2-B-153 Let’s Agree to Disagree: Learning Highly Debatable Multirater Labelling Senneville, Vinh-Thong Ta, Vincent Lepetit, Jose Manjon Carole Sudre, Beatriz Gomez Anson, Silvia Ingala, Daniel Jimenez, Chris Lane, Lukas M-2-M-252 TopAwaRe: Topology-Aware Registration Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sebastien Ourselin, Rolf Jäger, Rune Nielsen, Sune Darkner, Aasa Feragen Jorge Cardoso M-2-M-258 RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic M-2-B-162 Early Prediction of Alzheimer’s Disease progression using Variational Autoencoder Resonance Fingerprinting Sumana Basu, Konrad Wagstyl, Azar Zandifar, Louis Collins, Adriana Romero, Doina Elisabeth Hoppe, Florian Thamm, Gregor Koerzdoerfer, Christopher Syben, Franziska Precup Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier M-2-M-167 Deep Multi-modal Latent Representation Learning for Automated Dementia M-2-M-267 CoCa-GAN: Common-feature-learning-based Context-aware Generative Diagnosis Adversarial Network for Glioma Grading Tao Zhou, Mingxia Liu, Huazhu Fu, Jun Wang, Jianbing Shen, Ling Shao, Dinggang Shen Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Guoshi Li, Qian Wang, Han M-2-M-172 Integrating Functional and Structural Connectivities via Diffusion-Convolution- Zhang, Dinggang Shen Bilinear Neural Network M-2-M-273 Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Jiashuang Huang, Luping Zhou, Daoqiang Zhang, Lei Wang Developing Brains M-2-M-177 Multimodal Data Registration for Brain Structural Association Networks Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang David Lee, Ashish Sahib, Ben Wade, Katherine Narr, Gerhard Hellemann, Roger Woods, Shen Shantanu Joshi M-2-M-282 Deep Probabilistic Modeling of Glioma Growth M-2-M-183 Consistent Brain Ageing Synthesis Jens Petersen, Paul Jäger, Fabian Isensee, Simon Kohl, Ulf Neuberger, Wolfgang Wick, Tian Xia, Agisilaos Chartsias, Sotirios Tsaftaris, The Alzheimers Disease Neuroimaging Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier- Initiative N/A Hein M-2-M-192 Hierarchical Multi-Geodesic Model for Longitudinal Analysis of Temporal Trajectories of Anatomical Shape and Covariates Sungmin Hong, James Fishbaugh, Jason Wolff, Martin Styner, Guido Gerig

55 56 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS M-2-F-363 Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Session 2: NeuroImaging Multiscale Neural Modeling of Resting-state fMRI Monday, October 14, 13:00 – 14:00 (Cont.) Guoshi Li, Yujie Liu, Yanting Zheng, Ye Wu, Pew-Thian Yap, Shijun Qiu, Han Zhang, Dinggang Shen M-2-M-288 An Attention-Guided Deep Regression Model for Landmark Detection in M-2-F-370 Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices Cephalograms Huahong Zhang, Alessandra Valcarcel, Rohit Bakshi, Renxin , Francesca Bagnato, Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao Russell Shinohara, Kilian Hett, Ipek Oguz M-2-M-296 Interpretable Multimodality Embedding Of Cerebral Cortex Using Attention M-2-F-376 Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Graph Network For Identifying Bipolar Disorder Disease Progression Huzheng Yang, Xiaoxiao Li, Yifan Wu, Siyi Li, Su Lu, James Duncan, James Gee, Shi Gu Daniele Ravì, Daniel Alexander, Neil Oxtoby M-2-M-297 Graph Neural Network for Interpreting Task-fMRI Biomarkers M-2-F-385 Optimal Experimental Design for Biophysical Modelling in Multidimensional Xiaoxiao Li, Nicha Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James Duncan Diffusion MRI M-2-M-303 Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Santiago Coelho, Jose M. Pozo, Sune Jespersen, Alejandro Frangi Biomarker Enrichments Over Progressions M-2-F-390 Fast Polynomial Approximation to Heat Diffusion in Manifolds Lyujian Lu, Saad Elbeleidy, Lauren Baker, Hua Wang, Heng Huang, Li Shen Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo Chung M-2-M-312 Disease Knowledge Transfer across Neurodegenerative Diseases M-2-F-399 Uncertainty-Informed Detection of Epileptogenic Brain Malformations Using Razvan Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra Young, Pere Planell Bayesian Neural Networks Morell, Neil Oxtoby, Arman Eshaghi, Keir Yong, Sebastian Crutch, Polina Golland, Daniel Ravnoor Gill, Benoit Caldairou, Neda Bernasconi, Andrea Bernasconi Alexander M-2-F-404 Intrinsic Patch-based Cortical Anatomical Parcellation using Graph Convolutional M-2-M-318 Automated Parcellation of the Cortex using Structural Connectome Harmonics Neural Network on Surface Manifold Hoyt Taylor, Zhengwang Wu, Ye Wu, Dinggang Shen, Han Zhang, Pew-Thian Yap Zhengwang Wu, Fenqiang Zhao, Jing Xia, Li Wang, Gang Li, Dinggang Shen M-2-M-327 Probing Brain Micro-Architecture by Orientation Distribution Invariant M-2-F-413 Hierarchical Parcellation of the Cerebellum Identification of Diffusion Compartments Shuo Han, Aaron Carass, Jerry Prince Khoi Huynh, Tiantian Xu, Ye Wu, Geng Chen, Kim-Han Thung, Haiyong Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap M-2-F-418 Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions M-2-M-331 Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang Microenvironments Khoi Huynh, Tiantian Xu, Ye Wu, Kim-Han Thung, Geng Chen, Weili Lin, Dinggang Shen, M-2-F-427 Joint Identification of Network Hub Nodes by Multivariate Graph Inference Pew-Thian Yap Defu Yang, Chenggang Yan, Feiping Nie, Xiaofeng Zhu, Md Turja, Leo Charles Peek Zsembik, Martin Styner, Guorong Wu M-2-M-336 Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators M-2-F-434 Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Bernhard Egger, Markus Schirmer, Florian Dubost, Marco Nardin, Natalia Rost, Polina Networks Golland Gihyun Kwon, Chihye Han, Daeshik Kim M-2-M-342 Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis M-2-E-437 Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability Zhicheng Jiao, Tae-Eui Kam, Ye Wu, Eybposh Mohammad Hossein, Pu Huang, Li-Ming and Spreadability in the First Two Years of Life Hsu, Han Zhang, Dinggang Shen Zhen Zhou, Han Zhang, Li-Ming Hsu, Weili Lin, Gang Pan, Dinggang Shen M-2-F-352 Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional M-2-E-442 Recurrent Sub-Volume Analysis of Head CT Scans for the Detection of Intracranial Framework Hemorrhage Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen F. Berman, Daniel R. Vidya M S, Yogish Mallya, Arun Shastry, Vijayananda J Weinberger, Venkata S. Mattay, Archana Venkataraman M-2-E-447 Complete Fetal Head Compounding from Multi-View 3D Ultrasound M-2-F-361 Identify Hierarchical Structures from Task-based fMRI Data via Hybrid Robert Wright, Nicolas Toussaint, Alberto Gomez, Veronika Zimmer, Jacqueline Spatiotemporal Neural Architecture Search Net Matthew, Emily Skelton, Bishesh Khanal, Bernhard Kainz, Daniel Rueckert, Joseph Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, Tianming Hajnal, Julia Schnabel Liu 57 58 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 2: NeuroImaging M-2-E-535 Surface-Based Spatial Pyramid Matching of Cortical Regions for Analysis of Cognitive Performance Monday, October 14, 13:00 – 14:00 (Cont.) Kris Campbell, Tom Fletcher, Jeffrey Anderson M-2-E-540 HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs M-2-E-452 Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Sumeet Shinde, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar Multiple Cortical Properties Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, Weili Lin, John Gilmore, Dinggang Shen, Gang Li Session 3: Segmentation and Registration 1 M-2-E-457 A Deep Learning Framework for Noise Component Detection from Resting-state Functional MRI Monday, October 14, 15:30 – 16:30 Tae-Eui Kam, Xuyun Wen, Bing Jin, Zhicheng Jiao, Li-Ming Hsu, Zhen Zhou, Yujie Liu, Koji Yamashita, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen M-3-B-002 3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI Chen Chen, Xiaopeng Liu, Meng Ding, Junfeng Zheng, Jiangyun Li M-2-E-462 Harmonization of Infant Cortical Thickness using Surface-to-Surface Cycle- Consistent Adversarial Networks M-3-B-011 Automated Infarct Segmentation from Follow-up Non-Contrast CT Scans Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang in Patients with Acute Ischemic Stroke Using Dense Multi-Path Contextual Li Generative Adversarial Network Hulin Kuang, Bijoy Menon, Wu Qiu M-2-E-471 Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network M-3-B-020 Discriminative Consistent Domain Generation for Semi-supervised Learning Kimberlin van Wijnen, Florian Dubost, Pinar Yilmaz, M. Arfan Ikram, Wiro Niessen, Hieab Jun Chen, Yang, Yanping Zhang, Shu Zhao, Raad Mohiaddin, Tom Wong, David Adams, Meike Vernooij, Marleen de Bruijne Firmin, Heye Zhang, Jennifer Keegan M-2-E-480 Deep White Matter Analysis: Fast, Consistent Tractography Segmentation Across M-3-B-029 Automatic Vertebrae Recognition from Arbitrary Spine MRI images by a Populations and dMRI Acquisitions Hierarchical Self-calibration Detection Framework Fan Zhang, Nico Hoffmann, Suheyla Cetin Karayumak, Yogesh Rathi, Alexandra Golby, Shen Zhao, Xi Wu, Bo Chen, Shuo Li Lauren O’Donnell M-3-B-038 ET-Net: A Generic Edge-Attention Guidance Network for Medical Image M-2-E-492 Early Development of Infant Brain Complex Network Segmentation Weixiong Jiang, Han Zhang, Li-Ming Hsu, Dan Hu, Guoshi Li, Ye Wu, Dinggang Shen Zhijie Zhang, Huazhu Fu, Hang Dai, Jianbing Shen, Yanwei Pang, Ling Shao M-2-E-501 Fast and Scalable Optimal Transport for Brain Tractograms M-3-B-045 Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Jean Feydy, Pierre Roussillon, Alain Trouve, Pietro Gori Segmentation Haidong Zhu, Jialin Shi, Ji Wu M-2-E-510 A Matched Filter Decomposition of fMRI into Resting and Task Components Anand Joshi, Haleh Akrami, Jian Li, Richard Leahy M-3-B-054 Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention Qingyi Tao, Zongyuan Ge, Jianfei Cai, Jianxiong (Terry) Yin, Simon See M-2-E-515 Cortical Surface Parcellation using Spherical Convolutional Neural Networks Prasanna Parvathaneni, Shunxing Bao, Vishwesh Nath, Neil Woodward, Daniel Classen, M-3-B-063 Multi-View Learning with Feature Level Fusion for Cervical Dysplasia Diagnosis Carissa Cascio, David Zald, Yuankai Huo, Bennett Landman, Ilwoo Lyu Tingting Chen, Xinjun Ma, Xuechen Liu, Wenzhe Wang, Ruiwei Feng, Jintai Chen, Chunnv Yuan, Weiguo Lu, Danny Chen, Jian Wu M-2-E-520 Topographic Filtering of Tractograms as Vector Field Flows Xinyu Nie, Yonggang Shi M-3-B-068 3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation M-2-E-525 Learned Attention Maps for 3D CNN Prediction of Future Disease Progression Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Fang, Nassir Navab from Patient Images Adrian Tousignant, Mahsa Dadar, Louis Collins, Doina Precup, Douglas Arnold, Tal Arbel M-3-B-077 Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation M-2-E-530 Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng Wonsik Jung, Ahmad Wisnu Mulyadi, Heung-Il Suk M-3-B-085 Radiomics-guided GAN for Segmentation of Liver Tumor without Contrast Agents Xiaojiao Xiao, Juanjuan Zhao, Yan Qiang, Jaron Chong, Xiaotang Yang, Ntikurako Guy- Fernand Kazihise, Bo Chen, Shuo Li

59 60 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 3: Segmentation and Registration 1 M-3-M-182 Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors Monday, October 14, 15:30 – 16:30 (Cont.) Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang M-3-M-191 From Unilateral to Bilateral Learning: Detecting Mammogram Masses with M-3-B-093 VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation Contrasted Bilateral Network Zhipeng Ding, Xu Han, Marc Niethammer Yuhang Liu, Zhen Zhou, Shu Zhang, Ling Luo, Qianyi Zhang, Fandong Zhang, Xiuli Li, M-3-B-102 Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Yizhou Wang, Yizhou Yu Deep Spatial Attention with Hardness-Weighted Loss M-3-M-199 Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Labels Bisdas, Ian Paddick, Robert Bradford, Sebastien Ourselin, Tom Vercauteren Martin Zlocha, Qi Dou, Ben Glocker M-3-B-111 Learning from Suspected Target: Bootstrapping Performance for Breast Cancer M-3-M-212 A Cooperative Autoencoder for Population-Based Regularization of CNN Image Detection in Mammography Registration Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, Yi Zhao Riddhish Bhalodia, Shireen Elhabian, Ladislav Kavan, Ross Whitaker M-3-B-120 A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: M-3-M-221 Automated Pulmonary Embolism Detection from CTPA Images using an End-to- Evaluation on Longitudinal White Matter Tract Changes End Convolutional Neural Network Bo Li, Wiro Niessen, Stefan Klein, Marius de Groot, M. Arfan Ikram, Meike Vernooij, Esther Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng, Xin Yang Bron M-3-M-229 Incompressible Image Registration Using Divergence-Conforming B-Splines M-3-B-129 Learning Shape Representation on Sparse Point Clouds for Volumetric Image Lucas Fidon, Michael Ebner, Luis Garcia-Peraza Herrera, Marc Modat, Sebastien Ourselin, Segmentation Tom Vercauteren Fabian Balsiger, Yannick Soom, Olivier Scheidegger, Mauricio Reyes M-3-M-242 Instance Segmentation from Volumetric Biomedical Images without Voxel-Wise M-3-B-138 Multi-task Attention-based Semi-supervised Learning for Medical Image Labeling Segmentation Meng Dong, Dong Liu, Zhiwei Xiong, Xuejin Chen, Yueyi Zhang, Zheng-Jun Zha, Shuai Chen, Gerda Bortsova, Antonio Garcia-Uceda Juarez, Gijs Van Tulder, Marleen de Guoqiang Bi, Feng Wu Bruijne M-3-M-251 Placental Flattening via Volumetric Parameterization M-3-B-146 Weakly Supervised Brain Lesion Segmentation via Attentional Representation Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Ellen Grant, Justin Solomon, Learning Polina Golland Kai Wu, Bowen Du, Man Luo, Hongkai Wen, Yiran Shen, Jianfeng Feng M-3-M-259 Simultaneous Lung Field Detection and Segmentation for Pediatric M-3-B-152 Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for ChestRadiographs Segmentation Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, Huiying Liang Zeju Li, Konstantinos Kamnitsas, Ben Glocker M-3-M-272 Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network M-3-B-161 Integrating 3D Geometry of Organ for Improving Medical Imaging Segmentation Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng Jiawen Yao, Jinzheng Cai, Dong Yang, Daguang Xu, Junzhou Huang M-3-M-281 Dual Encoding U-Net for Retinal Vessel Segmentation M-3-M-166 LSRC: A Long-Short Range Context-Fusing Framework for Automatic 3D Vertebra Wang Bo, Shuang Qiu, Huiguang He Localization Jintai Chen, Yanjie Wang, Ruoqian Guo, Bohan Yu, Tingting Chen, Wenzhe Wang, Ruiwei M-3-M-289 A Deep Learning Approach to MR-less Spatial Normalization for Tau PET Images Feng, Danny Chen, Jian Wu Jennifer Alvén, Kerstin Heurling, Ruben Smith, Olof Strandberg, Michael Schöll, Oskar Hansson, Fredrik Kahl M-3-M-171 Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation M-3-M-302 Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng Registration Lihao Liu, Xiaowei Hu, Lei Zhu, Pheng-Ann Heng M-3-M-176 Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation Chaowei Fang, Guanbin Li, Chengwei Pan, Yizhou Yu

61 62 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 3: Segmentation and Registration 1 M-3-F-391 SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation Monday, October 14, 15:30 – 16:30 (Cont.) Ken C. L. Wong, Mehdi Moradi M-3-F-400 Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation M-3-M-311 Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from From Multimodal Unpaired Images Retinal Images Wenguang Yuan, Wei, Jiabing Wang, Qianli Ma, Tolga Tasdizen Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang M-3-F-405 Improved Inference via Deep Input Transfer Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh M-3-M-319 A Divide-and-Conquer Approach towards Understanding Deep Networks Weilin Fu, Andreas Maier, Nishant Ravikumar, Roman Schaffert, Katharina Breininger M-3-F-414 Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two- Stream Chained 3D Deep Network Fusion M-3-M-330 Unsupervised Domain Adaptation via Disentangled Representations: Application Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu to Cross-Modality Liver Segmentation Junlin Yang, Nicha Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James Duncan M-3-F-419 Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk M-3-M-335 Unsupervised Ensemble Strategy for Retinal Vessel Segmentation Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu Bo Liu, Lin Gu, Feng Lu M-3-F-428 Mixed-Supervised Dual-Network for Medical Image Segmentation M-3-M-341 Scalable Neural Architecture Search for 3D Medical Image Segmentation Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Jayender Jagadeesan Cho, Boogeon Yoon, Taesup Kim M-3-F-435 Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi- M-3-F-344 Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation modal Intracoronary Imaging and Artery/Vein Classification Zhifan Gao, Shuo Li Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng M-3-E-438 Instance Segmentation of Biomedical Images with an Object-aware Embedding M-3-F-353 DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Learned with Local Constraints Dense Biased Network and Deep Priori Anatomy Long Chen, Martin Strauch, Dorit Merhof Yuting He, Guanyu Yang, Y Ang Chen, Youyong Kong, Jiasong Wu, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger, Huazhong Shu, Jean-Louis Coatrieux, Pengfei Shao, Shaobo M-3-E-443 HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Zhang, Shuo Li Content-Aware Fusion Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, M-3-F-362 Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Danny Chen Position Prediction Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen M-3-E-448 Fast and Accurate Electron Microscopy Image Registration with 3D Convolution Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert Shenglong Zhou, Zhiwei Xiong, Chang Chen, Xuejin Chen, Dong Liu, Yueyi Zhang, Zheng-Jun Zha, Feng Wu M-3-F-364 Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view images M-3-E-453 On the Applicability of Registration Uncertainty Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen Petersen,Wenjia Bai, Daniel Rueckert Jie Luo, Alireza Sedghi, Karteek Popuri, Dana Cobzas, Miaomiao Zhang, Frank Preiswerk, Matthew Toews, Alexandra Golby, Masashi Sugiyama, William Wells III, Sarah Frisken M-3-F-371 Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation M-3-E-458 Extreme Points Derived Confidence Map as a Cue for Class-Agnostic Interactive Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert Segmentation Using Deep Neural Network Shadab Khan, Ahmed Shahin, Javier Villafruela, Jianbing Shen, Ling Shao M-3-F-377 Right Ventricle Segmentation in Short-Axis MRI Using A Shape Constrained Dense Connected U-net M-3-E-470 3DFPN-HS2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Hao Yang, Zexiong Liu, Xuan Yang Pulmonary Nodule Detection Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian M-3-F-386 Semi-supervised Medical Image Segmentation via Learning Consistency under Transformations M-3-E-479 DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Segmentation Bruijne Zhenlin Xu, Marc Niethammer

63 64 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 3: Segmentation and Registration 1 Session 4: Segmentation and Registration 2 Monday, October 14, 15:30 – 16:30 (Cont.) Tuesday, October 15, 11:30 – 12:30 M-3-E-488 One Network To Segment Them All: A General, Lightweight System for Accurate 3D T-4-B-003 Assessing Reliability and Challenges of Uncertainty Estimations for Medical Medical Image Segmentation Image Segmentation Mathias Perslev, Erik Dam, Akshay Pai, Christian Igel Alain Jungo, Mauricio Reyes M-3-E-493 Echocardiography Segmentation by Quality Translation using Anatomically T-4-B-012 Multi-View Semi-supervised 3D Whole Brain Segmentation with a Self-Ensemble Constrained CycleGAN Network Mohammad Jafari, Zhibin Liao, Hany Girgis, Mehran Pesteie, Robert Rohling, Ken Gin, Yuan-Xing Zhao, Yanming Zhang, Ming Song, Cheng-Lin Liu Terasa Tsang, Purang Abolmaesumi T-4-B-021 Learning Task-Specific and Shared Representations in Medical Imaging M-3-E-502 PseudoEdgeNet: Nuclei Segmentation only with Point Annotations Felix Bragman, Ryutaro Tanno, Sebastien Ourselin, Daniel Alexander, Jorge Cardoso Inwan Yoo, Donggeun Yoo, Kyunghyun Paeng T-4-B-030 The Domain Shift Problem of Medical Image Segmentation and Vendor- M-3-E-511 High Resolution Medical Image Segmentation using Data-swapping Method Adaptation by Unet-GAN Haruki Imai, Samuel Matzek, Tung Le, Yasushi Negishi, Kiyokuni Kawachiya Wenjun Yan, Qian Tao, Yuanyuan Wang M-3-E-519 Statistical Intensity- and Shape-Modeling to Automate Cerebrovascular T-4-B-039 LVC-Net: Medical Image Segmentation with Noisy Label Based on Local Visual Segmentation from TOF-MRA Data Cues Shoujun Zhou, Na Li, Aichi Chien, Zonghan Wu, Cheng Wang, Baochang Zhang, Tiexiang Yucheng Shu, Xiao Wu, Weisheng Li Wen T-4-B-046 Selective Feature Aggregation Network with Area-boundary Constraints for M-3-E-524 MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Polyp Segmentation Detection Yuqi Fang, Cheng Chen, Delong Zhu, Yixuan Yuan, Kai-Yu Tong Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu T-4-B-055 Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function M-3-E-529 X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Collaborative Learning Convolution and Long-range Dependencies Siyuan Pan, Xuhong Hou, Huating Li, Bin Sheng, Ruogu Fang, Yuxin Xue, Weiping Jia, Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang Jing Qin M-3-E-534 3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation T-4-B-064 Project & Excite’ Modules for Segmentation of Volumetric Medical Scans Chao Huang, Hu Han, Qingsong Yao, Shankuan Zhu, S. Kevin Zhou Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger M-3-E-539 AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway T-4-B-069 Multi-Class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation Using Convolutional Neural Networks Segmentation Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yuemin Qin Liu, Xiongfeng Tang, Deming Guo, Yanguo Qin, Pengfei Jia, Yiqiang Zhan, Xiang Zhu, Guang-Zhong Yang Zhou, Dijia Wu T-4-B-078 Extract Bone Parts without Human Prior: End-to-end Convolutional Neural Network for Pediatric Bone Age Assessment Chuanbin Liu, Hongtao Xie, Yizhi Liu, Zheng-Jun Zha, Fanchao Lin, Yongdong Zhang T-4-B-086 Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang T-4-B-092 Mask-MCNet: Instance Segmentation in 3D Point Cloud of Intra-oral Scans Farhad Ghazvinian Zanjani, David Anssari Moin, Teo Cherici, Sarah Parinussa, Frank Claessen, Arash Pourtaherian, Sveta Zinger, Peter H.N. de With

65 66 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 4: Segmentation and Registration 2 T-4-M-190 Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays Tuesday, October 15, 11:30 – 12:30 (Cont.) Vaishnavi Subramanian, Hongzhi Wang, Joy Wu, Ken C. L. Wong, Arjun Sharma, Tanveer Syeda-Mahmood T-4-B-101 Interactive Deep Editing Framework for Medical Image Segmentation T-4-M-200 Whole Heart and Great Vessel Segmentation in Congenital Heart Disease using Bowei Zhou, Li Chen, Zhao Wang Deep Neural Networks and Graph Matching T-4-B-112 Weakly Supervised Segmentation Framework with Uncertainty: A Study on Xiaowei Xu, Yiyu Shi, Jian Zhuang, Haiyun Yuan, Meiping Huang, Tianchen Wang, Pneumothorax Segmentation in Chest X-ray Qianjun Jia Xi Ouyang, Zhong Xue, Yiqiang Zhan, Xiang Zhou, Qian Wang, Jie-Zhi Cheng T-4-M-211 Neural Architecture Search for Adversarial Medical Image Segmentation T-4-B-121 Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric Xing Theory & Practice T-4-M-220 Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Study in Spine Imaging Bisschops, Matthew Blaschko Alexander Mader, Cristian Lorenz, Jens Von Berg, Carsten Meyer T-4-B-125 Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images T-4-M-230 Cardiac MRI Segmentation with Strong Anatomical Guarantees through Recurrent Attention Nathan Painchaud, Youssef Skandrani, Thierry Judge, Olivier Bernard, Alain Lalande, Jia-Bin Huang, Enhong Zhuo, Haojiang Li, Lizhi Liu, Yangming Ou, Hongmin Cai Pierre-Marc Jodoin T-4-B-130 CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion T-4-M-241 Anatomical Priors for Image Segmentation via Post-Processing with Denoising Segmentation of Chronic Stroke Autoencoders Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Agostina Larrazabal, Cesar Martinez, Enzo Ferrante Zheng, Shanshan Wang T-4-M-250 Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on T-4-B-137 Matwo-CapsNet: a Multi-Label Semantic Segmentation Capsules Network Inconsistent Data Savinien Bonheur, Darko Stern, Christian Payer, Michael Pienn, Horst Olschewski, Martin Chunwei Ma, Zhanghexuan Ji, Mingchen Gao Urschler T-4-M-260 Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation T-4-B-145 Brain Segmentation from k-space with End-to-end Recurrent Attention Network from Volumetric CT Images Qiaoying Huang, Xiao Chen, Dimitris Metaxas, Mariappan Nadar Huai Chen, Xiuying Wang, Yi-Jie Huang, Xiyi Wu, Yizhou Yu, Lisheng Wang T-4-B-151 Integrating Cross-Modality Hallucinated MR Information with CT to Aid T-4-M-271 Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Mediastinal Lung Tumor Segmentation Images Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Berry Sean, Joseph Deasy, Harini Yizhe Zhang, Michael Ying, Danny Chen Veeraraghavan T-4-M-280 Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural T-4-B-160 PAN: Projective Adversarial Network for Medical Image Segmentation Networks Naji Khosravan, Aliasghar Mortazi, Michael Wallace, Ulas Bagci Ningning Zhao, Nuo Tong, Dan Ruan, Ke Sheng T-4-M-165 Liver Segmentation in Magnetic Resonance Imaging via Mean Shape Fitting with T-4-M-290 Group-wise Graph Matching of Cortical Gyral Hinges Fully Convolutional Neural Networks Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Zhibin He, Lei Guo, Tianming Liu Qi Zeng, Davood Karimi, Emily HT Pang, Shahed Mohammed, Caitlin Schneider, Mohammad Honarvar, Septimiu Salcudean T-4-M-301 CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion T-4-M-170 Image-and-Spatial Transformer Networks for Structure-Guided Image Registration Yuan Liang, Weinan Song, J.P. Dym, Kun Wang, Lei He Matthew Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, Ben Glocker T-4-M-310 Multi-view Graph Matching of Cortical Landmarks T-4-M-175 Constrained Domain Adaptation for Segmentation Ying Huang, Zhibin He, Lei Guo, Tianming Liu, Tuo Zhang Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herve Lombaert, Ismail Ben Ayed T-4-M-320 Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image T-4-M-181 Spatial Warping Network for 3D Segmentation of the Hippocampus in MR Images Segmentation Nicola Dinsdale, Mark Jenkinson, Ana Ineyda Namburete Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian Ellis, Jon Garibaldi, Guoping Qiu

67 68 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 4: Segmentation and Registration 2 T-4-F-429 U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Marvin Tuesday, October 15, 11:30 – 12:30 (Cont.) Lerousseau, Alexandre Carre, Guillaume Klausner, Roger Sun, Charlotte Robert, Stavroula Mougiakakou, Eric Deutsch, Nikos Paragios T-4-M-329 HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images T-4-F-436 PHiSeg: Capturing Uncertainty in Medical Image Segmentation Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia Christian Baumgartner, Kerem Can Tezcan, Ender Konukoglu, Krishna Chaitanya, T-4-M-334 Closing the Gap between Deep and Conventional Image Registration using Andreas Hoetker, Urs Muehlematter, Olivio Donati, Anton Becker, Khoschy Schawkat, Probabilistic Dense Displacement Networks Ender Konukoglu Mattias Heinrich T-4-E-439 Generative Adversarial Network for Segmentation of Motion Affected Neonatal T-4-M-340 Deep Cascaded Attention Networks for Multi-task Brain Tumor Segmentation Brain MRI Hai Xu, Hongtao Xie, Yizhi Liu, Chuandong Cheng, Chaoshi Niu, Yongdong Zhang Nadieh Khalili, Elise Turk, Majd Zreik, Max Viergever, Manon Benders, Ivana Isgum T-4-F-345 Probabilistic Atlases to Enforce Topological Constraints T-4-E-444 Unsupervised Deformable Image Registration Using Cycle-Consistent CNN Udaranga Wickramasinghe, Graham Knott, Pascal Fua Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye T-4-F-354 Dual-Stream Pyramid Registration Network T-4-E-449 mlVIRNET: Multilevel Variational Image Registration Network Miao Kang, Xiaojun Hu, Weilin Huang, Matthew Scott, Roland Weist, Mauricio Reyes Alessa Hering, Bram Van Ginneken, Stefan Heldmann T-4-F-365 ACE-Net: Biomedical Image Segmentation with Augmented Contracting and T-4-E-454 Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Expansive Paths Segmentation Yanhao Zhu, Zhineng Chen, Shuai Zhao, Hongtao Xie, Wenming Guo, Yongdong Zhang Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu T-4-F-372 Adversarial Optimization for Joint Registration and Segmentation in Prostate CT T-4-E-459 Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Radiotherapy Calf MRI Images Mohamed Elmahdy, Jelmer Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring Rula Amer, Jannette Nassar, David Bendahan, Noam Ben-Eliezer, Hayit Greenspan T-4-F-378 Tubular Structure Segmentation Using Spatial Fully Connected Network With T-4-E-469 Curriculum Semi-Supervised Segmentation Radial Distance Loss for 3D Medical Images Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Eric Granger Chenglong Wang, Yuichiro Hayashi, Masahiro Oda, Hayato Itoh, Takayuki Kitasaka, T-4-E-478 Bronchial Cartilage Assessment with Model-Based GAN Regressor Alejandro Frangi, Kensaku Mori Pietro Nardelli, George R. Washko, Raul San Jose Estepar T-4-F-387 Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein T-4-E-487 Fully Convolutional Boundary Regression for Retina OCT Segmentation Angiography Yufan He, Aaron Carass, Yihao Liu, Bruno Jedynak, Sharon Solomon, Shiv Saidha, Peter Kyoung Jin Noh, Sang Jun Park, Soochahn Lee Calabresi, Jerry Prince T-4-F-392 A Joint 3D+2D Fully Convolutional Framework for Subcortical Segmentation T-4-E-494 Targeting Precision with Data Augmented Samples in Deep Learning Jiong Wu, Yue Zhang, Xiaoying Tang Pietro Nardelli, Raul San Jose Estepar T-4-F-401 Online Atlasing Using an Iterative Centroid T-4-E-503 Permutohedral Attention Module for Efficient Non-Local Neural Networks Antoine Legouhy, Olivier Commowick, Christian Barillot Samuel Joutard, Reuben Dorent, Amanda Isaac, Sebastien Ourselin, Tom Vercauteren, T-4-F-406 A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation Marc Modat Robin Brügger, Christian Baumgartner, Ender Konukoglu T-4-E-512 Spectral CT Based Training Dataset Generation and Augmentation for T-4-F-415 Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling Conventional CT Vascular Segmentation Dimitra Flouri, David Owen, Rosalind Aughwane, Nada Mufti, Magdalena Sokolska, Pierre-Jean Lartaud, Aymeric Rouchaud, Jean-Michel Rouet, Olivier Nempont, Loïc David Atkinson, Giles Kendall, Alan Bainbridge, Tom Vercauteren, Anna L. David, Boussel Sebastien Ourselin, Andrew Melbourne T-4-E-518 A Soft STAPLE Algorithm Combined with Anatomical Knowledge T-4-F-420 Unsupervised Quality Control of Image Segmentation based on Bayesian Learning Eytan Kats, Jacob Goldberger, Hayit Greenspan Benoît Audelan, Hervé Delingette

69 70 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 4: Segmentation and Registration 2 T-5-B-070 Data-driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks Tuesday, October 15, 11:30 – 12:30 (Cont.) He Zhao, Bingyu Yang, Lvchen Cao, Huiqi Li T-5-B-079 Evaluation of Retinal Image Quality Assessment Networks in Different Color- T-4-E-523 Volumetric Attention for 3D Medical Image Segmentation and Detection spaces Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos Huazhu Fu, Boyang Wang, Jianbing Shen, Shanshan Cui, Yanwu Xu, Jiang Liu, Ling Shao T-4-E-528 Segmentation of Vessels in Ultra High Frequency Ultrasound Sequences using T-5-B-091 Deep Learning Based Framework for Direct Reconstruction of PET Images Contextual Memory Zhiyuan Liu, Huai Chen, Huafeng Liu Tejas Sudharshan Mathai, Vijay Gorantla, John Galeotti T-5-B-100 Unsupervised Anomaly Localization using Variational Auto-Encoders T-4-E-533 Resource Optimized Neural Architecture Search for 3D Medical Image David Zimmerer, Klaus H. Maier-Hein Segmentation Woong Bae, Seungho Lee, Yeha Lee, Beomhee Park, Minki Chung, Kyu-Hwan Jung T-5-B-108 Consensus Neural Network for Medical Image Denoising with Only Noisy Training Samples T-4-E-538 Improving Multi-Atlas Segmentation by Convolutional Neural Network Based Dufan Wu, Kuang Gong, Kyungsang Kim, Xiang Li, Quanzheng Li Patch Error Estimation Long Xie, Jiancong Wang, Mengjin Dong, David Wolk, Paul Yushkevich T-5-B-113 Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT Rongjun Ge, Guanyu Yang, Chenchu Xu, Yang Chen, Limin Luo, Shuo Li Session 5: Reconstruction, Synthesis and Image Quality T-5-B-122 Detection and Correction of Cardiac MRI Motion Artefacts during Reconstruction from k-space Tuesday, October 15, 13:00 – 14:00 Ilkay Oksuz, James Clough, Bram Ruijsink, Esther Puyol Anton, Aurelien Bustin, Gastao T-5-B-004 ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Cruz, Claudia Prieto, Daniel Rueckert, Andrew King, Julia Schnabel Determination of Carcinoma Grades in CT Scans T-5-B-131 Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Abugharbieh Image Reconstruction T-5-B-013 Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis Jo Schlemper, Sadegh Salehi, Prantik Kundu, Carole Lazarus, Hadrien Dyvorne, Daniel Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Rueckert, Michal Sofka Tajbakhsh, Michael Gotway, Jianming Liang T-5-B-136 Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis T-5-B-022 Direct Quantification for Coronary Artery Stenosis Using Multiview Learning Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Maximilian Loeffler, Jan Dong Zhang, Guang Yang, Shu Zhao, Yanping Zhang, Heye Zhang, Shuo Li Kirschke, Bjoern Menze T-5-B-031 R2-Net: Recurrent and Recursive Network for Sparse-view CT Artifacts Removal T-5-B-144 Wavelet-Based Semi-Supervised Adversarial Learning for Synthesizing Realistic Tiancheng Shen, Xia Li, Zhisheng Zhong, Jianlong Wu, Zhouchen Lin 7T from 3T MRI Liangqiong Qu, Shuai Wang, Pew-Thian Yap, Dinggang Shen T-5-B-040 Exploiting Reliability-guided Aggregation for the Assessment of Curvilinear Structure Tortuosity T-5-B-150 Concept-Centric Visual Turing Tests for Method Validation Pan Su, Yitian Zhao, Tianhua Chen, Jianyang Xie, Yifan Zhao, Hong Qi, Yalin Zheng, Jiang Tatiana Fountoukidou, Raphael Sznitman Liu T-5-B-159 Bayesian Volumetric Autoregressive generative models for better semisupervised T-5-B-047 SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for learning Medical Image Synthesis Guilherme Pombo, Robert Gray, Parashkev Nachev, John Ashburner, Thomas Varsavsky Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing T-5-M-164 Deep Learning Within a Priori Temporal Feature Spaces for Large-Scale Dynamic Yang, Yuting Xiao, Shenghua Gao, Jiang Liu MR Image Reconstruction: Application to 5-D Cardiac MR Multitasking T-5-B-056 Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition Yuhua Chen, Jaime Shaw, Yibin Xie, Debiao Li, Anthony Christodoulou Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, S. Kevin Zhou T-5-M-169 Semi-Supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality T-5-B-065 Automatic Radiology Report Generation based on Multi-view Image Fusion and Control Medical Concept Enrichment Mahmoud Mostapha, Juan Prieto, Veronica Murphy, Jessica Girault, Mark Foster, Joseph Jianbo Yuan, Haofu Liao, Rui Luo, Jiebo Luo Blocher, Ashley Rumple, Weili Lin, Jed Ellison, John Gilmore, Steve Pizer, Martin Styner

71 72 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 5: Reconstruction, Synthesis and Image Quality T-5-M-279 Deep Gated Neural Network for QSM Background Field Removal Juan Liu, Kevin Koch Tuesday, October 15, 13:00 – 14:00 (Cont.) T-5-M-291 A Two-Stage Multi-Loss Super-Resolution Network For Arterial Spin Labeling Magnetic Resonance Imaging T-5-M-174 Generalizable Feature Learning in the Presence of Data Bias and Domain Class Zheng Li, Qingping Liu, Yiran Li, Qiu Ge, Yuanqi Shang, Donghui Song, Ze Wang, Jun Shi Imbalance with Application to Skin Lesion Classification Chris Yoon, Ghassan Hamarneh, Rafeef Abugharbieh T-5-M-300 Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction Haofu Liao, Wei-An Lin, Jianbo Yuan, S. Kevin Zhou, Jiebo Luo T-5-M-180 Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Trials T-5-M-309 Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Georgios Lazaridis, Marco Lorenzi, Sebastien Ourselin, David Garway-Heath Joint Projection-Sinogram Correction Haofu Liao, Wei-An Lin, Zhimin Huo, William Sehnert, Levon Vogelsang, S. Kevin Zhou, T-5-M-189 Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Jiebo Luo Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging Evan Hann, Luca Biasiolli, Qiang Zhang, Iulia Popescu, Konrad Werys, Elena Lukaschuk, T-5-M-321 A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Valentina Carapella, Jose Paiva, Nay Aung, Jennifer Rayner, Kenneth Fung, Henrike Framework for Whole-Heart Segmentation Puchta, Mihir Sanghvi, Niall Moon, Katharine Thomas, Vanessa Ferreira, Steffen Petersen, Rongzhao Zhang, Albert Chung Stefan Neubauer, Stefan Piechnik T-5-M-328 BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and T-5-M-201 GANReDL: Medical Image Enhancement Using a Generative Adversarial Network Generalization with Real-Order Derivative Induced loss Functions Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey Fessler Pan Liu, Chao Li, Carola-Bibiane Schönlieb T-5-M-333 Multi-Stage Image Quality Assessment of Diffusion MRI via Semi-Supervised T-5-M-210 VS-Net: Variable Spitting Network for Accelerated Parallel MRI Reconstruction Nonlocal Residual Networks Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen Bello, Ben Statton, Declan O’Regan, Daniel Rueckert T-5-M-339 Model Learning: Primal Dual Networks for Fast MR imaging T-5-M-219 k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Jing Cheng, Haifeng Wang, Leslie Ying, Dong Liang Correlations T-5-F-346 A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph Hajnal, MR Imaging Daniel Rueckert Nan Meng, Yan Yang, Zongben Xu, Jian Sun T-5-M-231 3D Surface-Based Geometric and Topological Quantification of Retinal T-5-F-355 Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice- Microvasculature in OCT-Angiography via Reeb Analysis Undersampled Data Using Graph Convolutional Neural Networks Jiong Zhang, Amir Kashani, Yonggang Shi Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen T-5-M-240 Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled T-5-F-366 Model-based Convolutional De-Aliasing Network Learning for Parallel MR Dynamic MRI Imaging Gavin Seegoolam, Chen Qin, Jo Schlemper, Anthony Price, Joseph Hajnal, Daniel Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang Rueckert T-5-F-373 Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and T-5-M-249 Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Segmentation Scans using Sparse Fidelity Loss and Adversarial Regularization Reuben Dorent, Samuel Joutard, Marc Modat, Sebastien Ourselin, Tom Vercauteren Kai Xuan, Dongming Wei, Yiqiang Zhan, Dijia Wu, Qian Wang T-5-F-379 Isotropic MRI Super-Resolution Reconstruction with Multi-Scale Gradient Field T-5-M-261 Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Prior Images Yao Sui, Onur Afacan, Ali Gholipour, Simon Warfield Hristina Uzunova, Jan Ehrhardt, Fabian Jacob, Alex Frydrychowicz, Heinz Handels T-5-F-393 Echocardiography View Classification Using Quality Transfer Star Generative T-5-M-270 DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Adversarial Networks Sequences Synthesis Zhibin Liao, Mohammad Jafari, Hany Girgis, Robert Rohling, Ken Gin, Purang Hongwei Li, Johannes Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan Abolmaesumi, Terasa Tsang Kirschke, Benedict Wiestler, Bjoern Menze

73 74 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 5: Reconstruction, Synthesis and Image Quality T-5-E-495 Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment Tuesday, October 15, 13:00 – 14:00 (Cont.) Florin Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Guendel, Mannudeep Kalra, Ramandeep Singh, Subba Digumarthy, Sasa Grbic, Dorin Comaniciu T-5-F-402 Missing Slice Imputation in Population CMR Imaging via Conditional Generative T-5-E-504 Linear Time Invariant Model based Motion Correction (LiMo-Moco) of Dynamic Adversarial Nets Radial Contrast Enhanced MRI Le Zhang, Marco Pereanez, Christopher Bowles, Stefan Piechnik, Stefan Neubauer, Jaume Coll-Font, Onur Afacan, Jeanne Chow, Sila Kurugol Steffen Petersen, Alejandro Frangi T-5-E-513 Deep Variational Networks with Exponential Weighting for Learning Computed T-5-F-407 SWTV-ACE: Spatially Weighted Regularization based Attenuation Coefficient Tomography Estimation Method for Hepatic Steatosis Detection Valery Vishnevskiy, Richard Rau, Orcun Goksel Farah Deeba, Caitlin Schneider, Shahed Mohammed, Mohammad Honarvar, Edward Tam, Septimiu Salcudean, Robert Rohling T-5-E-517 Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation T-5-F-416 Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle- Xiaoqian Jia, Sicheng Wang, Xiao Liang, Anjali Balagopal, Dan Nguyen, Ming Yang, Consistent Adversarial Networks Zhangyang Wang, Xiaoning Qian, Jim Xiuquan Ji, Steve Jiang Le Zhang, Marco Pereanez, Christopher Bowles, Stefan Piechnik, Stefan Neubauer, Steffen Petersen, Alejandro Frangi T-5-E-522 Medical-based Deep Curriculum Learning for Improved Fracture Classification Amelia Jimenez-Sanchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter T-5-F-421 Fused Detection of Retinal Biomarkers in OCT Volumes Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella Thomas Kurmann, Pablo Márquez Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman T-5-E-527 Model-based Reconstruction for Highly Accelerated First-Pass Perfusion Cardiac MRI T-5-F-430 RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Teresa Correia, Torben Schneider, Amedeo Chiribiri Magnetic Resonance Fingerprinting Zhenghan Fang, Yong Chen, Dong Nie, Weili Lin, Dinggang Shen T-5-E-532 Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis using Unpaired Data T-5-E-440 Learned Full-sampling Reconstruction Guodong Zeng, Guoyan Zheng Weilin Cheng, Yu Wang, Ying Chi, Xuansong Xie, Yuping Duan T-5-E-537 Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided T-5-E-445 A Novel Loss Function Incorporating Imaging Acquisition Physics for PET cGANs Attenuation Map Generation using Deep Learning Gongfa Jiang, Yao Lu, Jun Wei, Yuesheng Xu Luyao Shi, John Onofrey, Enette Mae Revilla, Takuya Toyonaga, David Menard, Joseph Ankrah, Richard Carson, Chi Liu, Yihuan Lu T-5-E-450 Single Image Based Reconstruction of High Field-like MR Images Session 6: Computer-Aided Diagnosis, Detection, and Prabhjot Kaur, Anil Kumar Sao Classification I T-5-E-455 Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework Tuesday, October 15, 15:30 – 16:30 Viswanath Ps, Kratika Gupta, Gary Egan, Zhaolin Chen, Suyash Awate T-6-B-006 Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal T-5-E-460 A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement Adenocarcinoma Uddeshya Upadhyay, Suyash Awate Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot Fishman, Alan Yuille T-5-E-468 Image Data Validation for Medical Systems T-6-B-015 FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Pablo Márquez Neila, Raphael Sznitman Deep Neural Network for Head and Neck CT Images T-5-E-477 Multi-Stage Prediction Networks for Data Harmonization Yunhe Gao, Rui Huang, Hongsheng Li Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal Tax, Ryutaro Tanno, Daniel T-6-B-024 Multi-Resolution Path CNN with Deep Supervision for Intervertebral Disc Alexander Localization and Segmentation T-5-E-486 3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images Yunhe Gao, Chang Liu, Liang Zhao Guodong Zeng, Guoyan Zheng

75 76 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 6: Computer-Aided Diagnosis, Detection, and T-6-B-143 Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion Classification I Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng Tuesday, October 15, 15:30 – 16:30 (Cont.) T-6-B-149 Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-Modal Neuroimages T-6-B-033 Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen Segmentation T-6-B-157 Detecting Acute Strokes from Non-Contrast CT Scan Data Using Deep Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Convolutional Neural Networks Zheng, Shuo Li Dmitriy Umerenkov, Alexander Tuzhilin, Manvel Avetisian, Vladimir Kokh T-6-B-042 Improving Skin Condition Classification with a Visual Symptom Checker Trained T-6-M-178 GraphXNET Chest X-Ray Classification Under Extreme Minimal Supervision using Reinforcement Learning Angelica Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Mohamed Akrout, Amir-Massoud Farahmand, Tory Jarmain, Latif Abid Robby Tan, Carola Schoenlieb T-6-B-049 Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma T-6-M-187 NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection Segmentation and Segmentation Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot Fishman, Alan Hao Tang, Chupeng Zhang, Xiaohui Xie Yuille, Seyoun Park T-6-M-194 Semi-supervised Segmentation of Liver using Adversarial Learning with Deep T-6-B-058 Bronchus Segmentation and Classification by Neural Networks and Linear Atlas Prior Programming Han Zheng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Tianyi Zhao, Zhaozheng Yin, Jiao Wang, Dashan Gao, Yunqiang Chen, Yunxiang Mao Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu T-6-B-072 Multi-label Thoracic Disease Image Classification with Cross-attention Networks T-6-M-203 Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization Congbo Ma, Hu Wang, Steven Hoi Weisen Wang, Zhiyan Xu, Weihong Yu, Jianchun Zhao, Jingyuan Yang, Feng He, Zhikun T-6-B-081 Cephalometric Landmark Detection by Attentive Feature Pyramid Fusion and Yang, Di Chen, Dayong Ding, Youxin Chen, Xirong Li Regression-Voting T-6-M-208 Multi-Instance Multi-Scale CNN for Medical Image Classification Runnan Chen, Yuexin Ma, Nenglun Chen, Daniel Lee, Wenping Wang Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Ting, Rick Goh T-6-B-089 MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, T-6-M-217 Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Tagging, and Segmentation Transfer, Multi-task and Semi-supervised Learning Ke Yan, Youbao Tang, Yifan Peng, Veit Sanfort, Mohammadhadi Bagheri, Zhiyong Lu, Hong Shang, Zhongqian Sun, Wei Yang, Xinghui Fu, Han Zheng, Jia Chang, Junzhou Ronald Summers Huang T-6-B-098 Intracranial Aneurysms Detection in 3D Cerebrovascular Mesh Model with T-6-M-224 Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Ensemble Deep Learning Generative Adversarial Networks and Irregularity Map Mingsong Zhou, Xingce Wang, Zhongke Wu, Jose M. Pozo, Alejandro Frangi Muhammad Febrian Rachmadi, María Del C. Valdés Hernández, Stephen Makin, Joanna T-6-B-107 Invertible Network for Classification and Biomarker Selection for ASD Wardlaw, Taku Komura Juntang Zhuang, Nicha Dvornek, Xiaoxiao Li, Pamela Ventola, James Duncan T-6-M-233 Comparative Evaluation of Hand-Engineered and Deep-Learned Features for T-6-B-115 Detecting Cannabis-Associated Cognitive Impairment using Resting-state fNIRS Neonatal Hip Bone Segmentation in Ultrasound Yingying Zhu, Jodi Gilman, Anne Evins, Mert Sabuncu Houssam El-Hariri, Kishore Mulpuri, Antony J Hodgson, Rafeef Abugharbieh T-6-B-124 Supervised Uncertainty Quantification for Segmentation with Multiple T-6-M-238 Mask Embedding for Realistic High-resolution Medical Image Synthesis Annotations Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars Grimm, Maciej Mazurowski, Shi Hu, Daniel Worrall, Stefan Knegt, Bastiaan Veeling, Henkjan Huisman, Max Welling Jeffrey Marks, Joseph Lo T-6-B-134 An Automated Cobb Angle Estimation Method Using Convolutional Neural Network with Area Limitation Kailai Zhang, Nanfang Xu, Guosheng Yang, Xiangling Fu, Ji Wu

77 78 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 6: Computer-Aided Diagnosis, Detection, and T-6-F-357 Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster Classification I Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng Tuesday, October 15, 15:30 – 16:30 (Cont.) T-6-F-375 TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays T-6-M-247 RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Yuxing Tang, Youbao Tang, Veit Sanfort, Jing Xiao, Ronald Summers Segmentation T-6-F-381 Diagnosis-Guided Multi-Modal Feature Selection for Prognosis Prediction of Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Lung Squamous Cell Carcinoma Pascal Spincemaille, Thanh D. Nguyen, Mert Sabuncu, Yi Wang Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang T-6-M-254 InfoMask: Masked Variational Latent Representation to Localize Chest Disease T-6-F-395 Spatiotemporal Breast Mass Detection Network (MD-Net) in 4D DCE-MRI Images Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di Jorio, Lixi Deng, Sheng Tang, Huazhu Fu, Bin Wang, Yongdong Zhang Ghassan Hamarneh, Yoshua Bengio T-6-F-409 Longitudinal Change Detection on Chest X-rays using Geometric Correlation Maps T-6-M-263 Unsupervised Clustering of Quantitative Imaging Subtypes using Autoencoder Dong Yul Oh, Jihang Kim, Kyong Joon Lee and Gaussian Mixture Model Jianan Chen, Laurent Milot, Helen Cheung, Anne Martel T-6-F-423 Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks T-6-M-268 End-to-End Dementia Status Prediction from Brain MRI using Multi-Task Weakly- Fei-Fei Xue, Jin Peng, Ruixuan Wang, Qiong Zhang, Wei-Shi Zheng Supervised Attention Network Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen T-6-E-466 Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Diagnosis of MCI Progression T-6-M-277 Robust and Discriminative Brain Genome Association Analysis Qingfeng Li, Xiaodan Xing, Ying Sun, Bin Xiao, Hao Wei, Quan Huo, Minqing Zhang, Xiaofeng Zhu, Dinggang Shen Xiang Zhou, Yiqiang Zhan, Zhong Xue, Feng Shi T-6-M-284 Graph Convolution Based Attention Model for Personalized Disease Prediction T-6-E-475 Improving Uncertainty Estimation in Convolutional Neural Networks Using Inter- Anees Kazi, Shayan Shekarforoush, Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, rater Agreement Benedict Wiestler, Karsten Kortuem, Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab Martin Jensen, Dan Jørgensen, Raluca Jalaboi, Mads Hansen, Martin Aastrup Olsen T-6-M-293 Arterial Spin Labeling Images Synthesis via Locally-constrained WGAN-GP T-6-E-484 Global and Local Interpretability for Cardiac MRI Classification Ensemble James Clough, Ilkay Oksuz, Esther Puyol Anton, Bram Ruijsink, Andrew King, Julia Wei Huang, Mingyuan Luo, Xi Liu, Peng Zhang, Huijun Ding, Dong Ni Schnabel T-6-M-298 Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy T-6-E-497 3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Classification Images and Patient Metadata Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Rahman Attar, Marco Pereanez, Christopher Bowles, Stefan Piechnik, Stefan Neubauer, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof Steffen Petersen, Alejandro Frangi T-6-M-307 Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik’s Cube T-6-E-506 Discriminative Coronary Artery Tracking via 3D CNN in Cardiac CT Angiography Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng Han Yang, Junxuan Chen, Ying Chi, Xuansong Xie, Xiansheng Hua T-6-M-314 Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, Dimitris Metaxas T-6-M-323 Feature Transformers: Privacy Preserving Life Learning Framework for Healthcare Applications Hariharan Ravishankar, Pavan Annangi, Rahul Venkataramani, Saihareesh Anamandra, Prasad Sudhakar T-6-F-348 Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype Zhenyu Tang, Yuyun Xu, Zhicheng Jiao, Junfeng Lu, Abudumijiti Aibaidula, Jinsong Wu, Qian Wang, Han Zhang, Dinggang Shen

79 80 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 7: Computer-Aided Diagnosis, Detection, and W-7-B-106 Deep Multi Label Classification in Affine Subspaces Thomas Kurmann, Pablo Márquez Neila, Sebastian Wolf, Raphael Sznitman Classification 2 W-7-B-116 Dynamic Spectral Convolution Networks with Assistant Task Training for Early Wednesday, October 16, 11:30 – 12:30 MCI diagnosis Xiaodan Xing, Qingfeng Li, Hao Wei, Minqing Zhang, Yiqiang Zhan, Xiang Zhou, Zhong W-7-B-007 PRSNet: Part Relation and Selection Network for Bone Age Assessment Xue, Feng Shi Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin W-7-B-126 LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke W-7-B-016 Misshapen Pelvis Landmark Detection by Spatial Local Correlation Mining for Yannan Yu, Bhargav Parsi, William Speier, Corey Arnold, Min Lou, Fabien Scalzo Diagnosing Developmental Dysplasia of the Hip W-7-B-133 Similarity Steered Generative Adversarial Network and Adaptive Transfer Chuanbin Liu, Hongtao Xie, Sicheng Zhang, Jingyuan Xu, Jun Sun, Yongdong Zhang Learning for Malignancy Characterization of Hepatocellualr Carcinoma W-7-B-025 DScGANS: Integrate Domain Knowledge in Training Dual-Path Semi-Supervised Hanqiu Ju, Wanwei Jian, Xiaoping Cen, Guangyi Wang, Wu Zhou Conditional Generative Adversarial Networks and S3VM for Ultrasonography W-7-B-142 INN: Inflated Neural Networks for IPMN Diagnosis Thyroid Nodules Classification Rodney Lalonde, Irene Tanner, Katerina Nikiforaki, Georgios Papadakis, Pujan Kandel, Wenkai Yang, Juanjuan Zhao, Yan Qiang, Xiaotang Yang, Yunyun Dong, Qianqian Du, Candice Bolan, Michael Wallace, Ulas Bagci Guohua Shi, Muhammad Bilal Zia W-7-B-148 Contextual Deep Regression Network for Volume Estimation in Orbital CT W-7-B-034 Regression-based Line Detection Network for Delineation of Largely Deformed Shikha Chaganti, Camilo Bermudez, Louise Mawn, Thomas Lasko, Bennett Landman Brain Midline Hao Wei, Xiangyu Tang, Minqing Zhang, Qingfeng Li, Xiaodan Xing, Xiang Zhou, Zhong W-7-B-156 Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Xue, Wenzhen Zhu, Zailiang Chen, Feng Shi Segmentation Utku Ozbulak, Wesley De Neve, Arnout Van Messem W-7-B-043 Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis W-7-M-173 Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Heyi Li, Dongdong Chen, Bill Nailon, Mike Davies, David Laurenson Images Hejie Cui, Xinglong Liu, Ning Huang W-7-B-050 Deep Granular Feature-Label Distribution Learning for Neuroimaging-based Infant Age Prediction W-7-M-186 Efficient Soft-Constrained Clustering for Group-Based Labeling Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen Ryoma Bise, Kentaro Abe, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida W-7-B-059 A CNN-Based Framework for Statistical Assessment of Spinal Shape and Curvature W-7-M-195 Uncertainty Measurements for the Reliable Classification of Mammograms in Whole-Body MRI Images of Large Populations Mickael Tardy, Bruno Scheffer, Diana Mateus Philipp Ernst, Georg Hille, Christian Hansen, Klaus Toennies, Marko Rak W-7-M-204 Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data W-7-B-073 Automatic Paraspinal Muscle Segmentation in Patients with Lumbar Pathology Augmentation Using Deep Convolutional Neural Network Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Wenyao Xia, Maryse Fortin, Joshua Ahn, Hassan Rivaz, Michele Battie, Terry Peters, Tom Drummond Yiming Xiao W-7-M-216 Adversarial Policy Gradient for Deep Learning Image Augmentation W-7-B-082 Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning Victor Cheng, Claudia Iriondo, Francesco Caliva, Justin Krogue, Sharmila Majumdar, and Radiomics Valentina Pedoia Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika W-7-M-225 Decoding Brain Functional Connectivity Implicated in AD and MCI Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier Sukrit Gupta, Yi Hao Chan, Jagath Rajapakse W-7-B-088 Task Adaptive Metric Space for Medium-Shot Medical Image Classification W-7-M-234 Robust Cochlear Modiolar Axis Detection in CT Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin Wilhelm Wimmer, Clair Vandersteen, Nicolas Guevara, Marco Caversaccio, Hervé W-7-B-097 DeepAAA: Clinically Applicable and Generalizable Detection of Abdominal Aortic Delingette Aneurysm Using Deep Learning Jen-Tang Lu, Rupert Brooks, Stefan Hahn, Jin Chen, Varun Buch, Gopal Kotecha, Katherine Andriole, Brian Ghoshhajra, Joel Pinto, Paul Vozila, Mark Michalski, Neil Tenenholtz

81 82 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 7: Computer-Aided Diagnosis, Detection, and W-7-F-388 Refined Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants Classification 2 Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Xianjun Li, Zhicheng Jiao, Jian Yang, Xinb Gao Wednesday, October 16, 11:30 – 12:30 (Cont.) W-7-F-396 Semi-Supervised Learning by Disentangling and Self-Ensembling over Stochastic W-7-M-246 Siamese U-Net with Healthy Template for Accurate Segmentation of Intracranial Latent Space Hemorrhage Prashnna Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang Doyoung Kwon, Jaesin Ahn, Jaeil Kim, Inchul Choi, Sungmoon Jeong, Young-Sup Lee, W-7-F-410 A Deep Learning Design for improving Topology Coherence in Blood Vessel Jaechan Park, Minho Lee Segmentation W-7-M-255 Realistic Breast Mass Generation through BIRADS Category Ricardo Araújo, Jaime Cardoso, Hélder Oliveira Hakmin Lee, Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro W-7-F-424 Learning Interpretable Features via Adversarially Robust Optimization W-7-M-264 Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Ashkan Khakzar, Shadi Albarqouni, Nassir Navab Classfication W-7-F-431 Adaptive image-Feature Learning for Disease Classification Using Inductive Xiaoqing Guo, Yixuan Yuan Graph Networks W-7-M-276 Normal Appearance Autoencoder for Lung Cancer Detection and Segmentation Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Mehdi Astaraki, Iuliana Toma Dasu, Örjan Smedby, Chunliang Wang Nassir Navab, Ahmad Ahmadi W-7-M-285 Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss W-7-E-441 Spatial-Frequency Non-Local Convolutional LSTM Network for pRCC classification Mhd Hasan Sarhan, Shadi Albarqouni, Mehmet Yigitsoy, Nassir Navab, Abouzar Eslami Yu Zhao, Yuan Liu, Yansheng Kan, Anjany Sekuboyina, Diana Waldmannstetter, Hongwei W-7-M-294 Learning from Longitudinal Mammography Studies Li, Xiaobin Hu, Xiaozhi Zhao, Kuangyu Shi, Bjoern Menze Shaked Perek, Lior Ness, Mika Amit, Ella Barkan, Guy Amit W-7-E-465 Endotracheal Tube Detection and Segmentation in Chest Radiographs using W-7-M-306 Weakly Supervised Universal Fracture Detection in Pelvic X-rays Synthetic Data Yirui Wang, Le Lu, Chi Tung Cheng, Dakai Jin, Adam Harrison, Jing Xiao, Chienhung Liao, Maayan Frid-Adar, Rula Amer, Hayit Greenspan Shun Miao W-7-E-474 Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor W-7-M-315` A Comprehensive Framework for Accurate Classification of Pulmonary Nodules Segmentation Ahmed Shaffie, Ahmed Soliman, Hadil Abu Khalifeh, Fatma Taher, Mohammed Ghazal, Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao Neal Dunlap, Adel S Elmaghraby, Robert Keynton, Ayman El-Baz W-7-E-483 STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- W-7-M-324 Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer and Peri-Wall Chemoradiation Response on MRI Prognosis Jacob Antunes, Zhouping Wei, Charlems Alvarez-Jiminez, Marwa Ismail, Dr. Romero, Hangfan Liu, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor, Anant Madabushi, Pallavi Tiwari, Satish Viswanath Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan W-7-E-489 Response Estimation through Spatially Oriented Neural Network and Texture W-7-F-349 Texture-Based Classification of Significant Stenosis in CCTA Multi-View Images of Ensemble (RESONATE) Coronary Arteries Jeffrey Eben, Nathaniel Braman, Anant Madabushi Antonio Tejero-De-Pablos, Kaikai Huang, Hiroaki Yamane, Yusuke Kurose, Yusuke W-7-E-498 Adversarial Regression Training for Visualizing the Progression of Chronic Mukuta, Yasushi Koyama, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Obstructive Pulmonary Disease with Chest X-Rays Yusaku Hayashi, Tatsuya Harada Ricardo Bigolin Lanfredi, Joyce Schroeder, Clement Vachet, Tolga Tasdizen W-7-F-358 A Surface-Theoretic Approach for Statistical Shape Modeling W-7-E-507 Dual-view Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Felix Ambellan, Stefan Zachow, Christoph von Tycowicz Modelling in Echocardiograms W-7-F-367 How to Learn from Unlabeled Volume Data: Self-Supervised 3D Context Feature Delaram Behnami, Zhibin Liao, Hany Girgis, Christina Luong, Ken Gin, Robert Rohling, , Learning Terasa Tsang, Purang Abolmaesumi Maximilian Blendowski, Hannes Nickisch, Mattias Heinrich W-7-F-382 Retinal Abnormalities Recognition Using Regional Multitask Learning Xin Wang, Lie Ju, Xin Zhao, Zongyuan Ge

83 84 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 8: Computer Assisted Interventions W-8-B-154 User Guidance for Point-Of-Care Echocardiography Using a Multi-task Deep Neural Network Wednesday, October 16, 13:00 – 14:00 Grzegorz Toporek, Raghavendra Srinivasa Naidu, Adriana Simicich, Tony Gades, Hua Xie, Balasundar Raju W-8-B-009 Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating W-8-M-168 Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery Field Amir Abdi, Mehran Pesteie, Eitan Prisman, Purang Abolmaesumi, Sidney Fels Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li W-8-M-184 Single Shot Needle Tip Localization in 2D Ultrasound W-8-B-018 Hard Frame Detection and Online Mapping for Surgical Phase Recognition Cosmas Mwikirize, John L Nosher, Ilker Hacihaliloglu Fangqiu Yi, Tingting Jiang W-8-M-197 Free-view, 3D Gaze-Guided Robotic Scrub Nurse W-8-B-027 Discriminative Correlation Filter Network for Robust Landmark Tracking in Alexandros Kogkas, Ahmed Ezzat, Rudrik Thakkar, Ara Darzi, George Mylonas Ultrasound Guided Intervention Chunxu Shen, Jishuai He, Yibin Huang, Jian Wu W-8-M-206 A Mesh-Aware Ball-Pivoting Algorithm for Generating the Virtual Arachnoid Mater W-8-B-036 Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Hirofumi Seo, Taichi Kin, Takeo Igarashi Implants Michael Beyeler, Geoffrey M. Boynton,Ione Fine, Ariel Rokem W-8-M-214 Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac Ultrasound Using Pyramid-UNet with Hybrid Loss W-8-B-052 Haptic Modes for Multiparameter Control in Robotic Surgery Hongxu Yang, Caifeng Shan, Tao Tan, Alexander F. Kolen, Peter H.N. de With Philipp Schleer, Sergey Drobinsky, Tahany Hmaid, Klaus Radermacher W-8-M-227 Seeing Under the Cover: A Physics Guided Learning Approach for In-Bed Pose W-8-B-061 Real-time Surface Deformation Recovery from Stereo Videos Estimation Haoyin Zhou, Jayender Jagadeesan Shuangjun Liu, Sarah Ostadabbas W-8-B-066 Learning-Based X-Ray Image Denoising Utilizing Model-Based Image Simulations W-8-M-236 Triplet Feature Learning on Endoscopic Video Manifold for Real-time Sai Gokul Hariharan, Norbert Strobel, Christian Kaethner, Markus Kowarschik, Shadi Gastrointestinal Image Retargeting Albarqouni, Rebecca Fahrig, Nassir Navab Yun Gu, Benjamin Walter, Jie Yang, Alexander Meining, Guang-Zhong Yang W-8-B-075 Towards Fully Automatic X-Ray to CT Registration W-8-M-244 Pathology-Aware Deep Network Visualization and Its Application in Glaucoma Javier Esteban, Matthias Grimm, Mathias Unberath, Guillaume Zahnd, Nassir Navab Image Synthesis W-8-B-095 An Automatic Approach to Reestablish Final Dental Occlusion for 1-Piece Maxillary Xiaofei Wang, Mai Xu, Liu Li, Zulin Wang, Zhenyu Guan Orthognathic Surgery W-8-M-257 Direct Visual and Haptic Volume Rendering of Medical Data Sets for an Immersive Han Deng, Peng Yuan, Sonny Wong, Jaime Gateno, Fred Garrett, Randy Ellis, Jeryl Exploration in Virtual Reality English, Helder Jacob, Daeseung Kim, James Xia Balázs Faludi, Esther Zoller, Nicolas Gerig, Azhar Zam, Georg Rauter, Philippe C. Cattin W-8-B-104 Multi-task Localization and Segmentation for X-ray Guided Planning in Knee W-8-M-266 Towards a First Mixed-Reality First Person Point of View Needle Navigation System Surgery Leah Groves, Natalie Li, Terry Peters, Elvis Chen Florian Kordon, Peter Fischer, Maxim Privalov, Benedict Swartman, Marc Schnetzke, Jochen Franke, Ruxandra Lasowski, Andreas Maier, Holger Kunze W-8-M-274 Automated Surgical Activity Recognition with One Labeled Sequence Robert Dipietro, Gregory D. Hager W-8-B-118 A New Approach of Predicting Facial Changes following Orthognathic Surgery using Realistic Lip Sliding Effect W-8-M-287 ARAMIS: Augmented Reality Assistance for Minimally Invasive Surgery using a Daeseung Kim, Tianshu Kuang, Yriu Rodrigues, Jaime Gateno, Steve G.F. Shen, Xudong Head-Mounted Display Wang, Han Deng, Peng Yuan, David M. Alfi, Michael A.K. Liebschner, James Xia Long Qian, Xiran Zhang, Anton Deguet, Peter Kazanzides W-8-B-140 Interactive Endoscopy: A Next-Generation, Streamlined User Interface for Lung W-8-M-304 One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud Surgery Navigation Xiao-Yun Zhou, Zhao-Yang Wang, Pei-Chao Li, Jian-Qing Zheng, Guang-Zhong Yang Paul Thienphrapa, Torre Bydlon, Alvin Chen, Prasad Vagdargi, Nicole Varble, Douglas W-8-M-317 Towards Multiple Instance Learning and Hermann Weyl’s Discrepancy for Robust Stanton, Aleksandra Popovic Image-Guided Bronchoscopic Intervention Xiongbiao Luo

85 86 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 8: Computer Assisted Interventions W-8-E-463 3D Modelling Of The Residual Freezing For Renal Cryoablation Simulation And Prediction Wednesday, October 16, 13:00 – 14:00 (Cont.) Caroline Essert, Pramod P. Rao, Afshin Gangi, Leo Joskowicz W-8-E-472 Generating Large Labeled Data Sets For Laparoscopic Image Processing Tasks W-8-M-326 A Novel Endoscopic Navigation System: Simultaneous Endoscope and Radial Using Unpaired Image-To-Image Translation Ultrasound Probe Tracking Without External Trackers Micha Pfeiffer, Isabel Funke, Maria Robu, Sebastian Bodenstedt, Leon Strenger, Sandy Xiongbiao Luo Engelhardt, Tobias Ross, Matthew Clarkson, Kurinchi Gurusamy, Brian Davidson, Lena W-8-M-337 Learning to Detect Collisions for Continuum Manipulators without a Prior Model Maier-Hein, Carina Riediger, Thilo Welsch, Jürgen Weitz, Stefanie Speidel Shahriar Sefati, Shahin Sefati, Iulian Iordachita, Russ Taylor, Mehran Armand W-8-E-481 Physics-based Deep Neural Network for Augmented Reality during Liver Surgery W-8-F-343 Development of an Multi-objective Optimized Planning Method for Microwave Jean-Nicolas Brunet, Andrea Mendizabal, Antoine Petit, Nicolas Golse, Eric Vibert, Liver Tumor Ablation Stephane Cotin Libin Liang, Derek Cool, Nirmal Kakani, Guangzhi Wang, Hui Ding, Aaron Fenster W-8-E-491 Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic W-8-F-351 Continually Modeling Alzheimer’s Disease Progression via Deep Multi-Order Hyperrealism in Surgical Training Preserving Weight Consolidation Sandy Engelhardt, Lalith Sharan, Matthias Karck, Raffale De Simone, Ivo Wolf Jie Zhang, Yalin Wang W-8-E-500 Conditional Segmentation in Lieu of Image Registration W-8-F-360 Optimizing Clearance of Bézier Spline Trajectories for Minimally-Invasive Surgery Yipeng Hu, Eli Gibson, Dean Barratt, Mark Emberton, Alison Noble, Tom Vercauteren Johannes Fauser, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Anirban W-8-E-509 Investigating The Role Of Vr In A Simulation-Based Medical Planning System For Mukhopadhyay Coronary Interventions W-8-F-369 Deep Sequential Mosaicking of Fetoscopic Videos Madhurima Vardhan, Harvey Shi, John Gounley, S. James Chen, Andrew Kahn, Jane Sophia Bano, Francisco Vasconcelos, Marcel Tella Amo, George Dwyer, Caspar Leopold, Amanda Randles Gruijthuijsen, Tom Vercauteren, Sebastien Ourselin, Emmanuel Vanderpoorten, Jan Deprest, Danail Stoyanov W-8-F-384 A Generative Model of Hyperelastic Strain Energy Density Functions for Real-Time Session 9: MIC meets CAI Simulation Of Brain Tissue Deformation Alejandro Granados, Martin Schweiger, Vejay Vakharia, Andrew W. Mcevoy, Anna Wednesday, October 16, 15:30 – 16:30 Miserocchi, John Duncan, Rachel Sparks, Sebastien Ourselin W-9-B-008 ARS-Net: Adaptively Rectified Supervision Network for Automated 3D Ultrasound W-8-F-398 Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images Image Segmentation Vinkle Srivastav, Afshin Gangi, Nicolas Padoy Chaoyue Liu, Guohao Dong, Muqing Lin, Yaoxian Zou, Tianzhu Liang, Xujin He, Zhijie Chen, Dong Ni, Yi Xiong, Lei Zhu W-8-F-412 An Integrated Multi-Physics Finite Element Modeling Framework for Deep Brain Stimulation: Preliminary Study on Impact of Brain Shift on Neuronal Pathways W-9-B-017 Overcoming Data Limitation in Medical Visual Question Answering Ma Luo, Paul Larson, Alastair Martin, Peter Konrad, Michael Miga Binh Nguyen, Tuong Do, Erman Tjiputra, Quang Tran, Thanh-Toan Do W-8-F-417 Simulation of Balloon-Expandable Coronary Stent Apposition with Plastic Beam W-9-B-026 Hand Pose Estimation for Pediatric Bone Age Assessment Elements Maria Escobar, Cristina González, Felipe Torres, Laura Daza, Gustavo Triana, Pablo Camille Krewcun, Laurent Sarry, Nicolas Combaret, Pascal Motreff, Émilie Péry Arbelaez W-8-F-426 Using 3D Convolutional Neural Networks To Learn Spatiotemporal Features For W-9-B-035 Generalized Non-Rigid Point Set Registration with Hybrid Mixture Models Automatic Surgical Gesture Recognition In Video Considering Anisotropic Positional Uncertainties Isabel Funke, Sebastian Bodenstedt, Florian Oehme, Felix Von Bechtolsheim, Jürgen Zhe Min, Li Liu, Max Q.-H. Meng Weitz, Stefanie Speidel W-9-B-051 Synthesis and Inpainting-based MR-CT Registration for Image-Guided Thermal W-8-F-433 Landmark-guided Deformable Image Registration for Supervised Autonomous Ablation of Liver Tumors Robotic Tumor Resection Dongming Wei, Sahar Ahmad, Jiayu Huo, Yunhao Ge, Wen Peng, Pew-Thian Yap, Zhong Jiawei Ge, Hamed Saeidi, Justin Opfermann, Arjun Joshi, Axel Krieger Xue, Dinggang Shen, Qian Wang

87 88 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 9: MIC meets CAI W-9-M-205 Non-invasive Assessment of In Vivo Auricular Cartilage by Ultrashort Echo Time (UTE) T2* Mapping Wednesday, October 16, 15:30 – 16:30 (Cont.) Xue Li, Cheng Zhao, Weiwei Zhang W-9-M-215 A Two-stage Framework for Real-time Guidewire Endpoint Localization W-9-B-060 Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis Rui-Qi Li, -bin Bian, Xiaohu Zhou, Xiaoliang Xie, Zhenliang Ni, Zengguang Hou Jiancheng Yang, Rongyao Fang, Bingbing Ni, Yamin Li, Yi Xu, Linguo Li W-9-M-226 A Multi-modal Network for Cardiomyopathy Death Risk Prediction with CMR W-9-B-074 Biomarker Localization by Combining CNN Classifier and Generative Adversarial Images and Clinical Information Network Chaoyang Xia, Xiaojie Li, Xin Wang, Bin Kong, Yucheng Chen, Youbing Yin, Kunlin Cao, Rong Zhang, Shuhan Tan, Ruixuan Wang, Siyamalan Manivannan, Jingjing Chen, Qi Song, Siwei Lyu, Xi Wu Haotian Lin, Wei-Shi Zheng W-9-M-235 DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning W-9-B-083 Learning Where to Look While Tracking Instruments in Robot-assisted Surgery Xiaodong He, Yi Zhou, Boyang Wang, Shanshan Cui, Ling Shao Mobarakol Islam, Yueyuan Li, Hongliang Ren W-9-M-245 Multiple Landmarks Detection using Multi-Agent Reinforcement Learning W-9-B-087 LumiPath - Towards Real-time Physically-based Rendering on Embedded Devices Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Laura Fink, Sing Chun Lee, Jie Ying Wu, Xingtong Liu, Tianyu Song, Yordanka Velikova, Kainz Marc Stamminger, Nassir Navab, Mathias Unberath W-9-M-256 Learning and Understanding Deep Spatio-Temporal Representations from Free- W-9-B-096 Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Hand Fetal Ultrasound Sweeps Trajectories Yuan Gao, Alison Noble Jan-Nico Zaech, Cong Gao, Bastian Bier, Russ Taylor, Andreas Maier, Nassir Navab, Mathias Unberath W-9-M-265 Captioning Ultrasound Images Automatically Mohammad Alsharid, Harshita Sharma, Lior Drukker, Pierre Chatelain, Aris W-9-B-105 MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Papageorghiou, Alison Noble Segmentation Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Meng Jiang, Haiyun Yuan, Meiping Huang, W-9-M-275 Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Jian Zhuang, Yiyu Shi Distillation Arijit Patra, Yifan Cai, Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris Papageorghiou, W-9-B-117 An Extremely Fast and Precise Convolutional Neural Network for Recognition and Alison Noble Localization of Cataract Surgical Tools Dongqing Zang, Gui-bin Bian, Yunlai Wang, Zhen Li W-9-M-286 Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers W-9-B-127 FetusMap: Fetal Pose Estimation in 3D Ultrasound Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Alberto Gomez, Nicolas Toussaint, Emma Robinson, Bernhard Kainz Ni, Pheng-Ann Heng W-9-M-295 Virtual Cardiac Surgical Planning through Hemodynamics Simulation and Design W-9-B-141 Agent with Warm Start and Active Termination for Plane Localization in 3D Optimization of Fontan Grafts Ultrasound Byeol Kim, Yue-Hin Loke, Florence Stevenson, Dominik Siallagan, Paige Mass, Justin Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Opfermann, Narutoshi Hibino, Laura Olivieri, Axel Krieger Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni W-9-M-305 Real-Time 3D Reconstruction Of Colonoscopic Surfaces For Determining Missing W-9-B-155 Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Regions Minimally Invasive Surgery Video Ruibin Ma, Rui Wang, Sarah Mcgill, Julian Rosenman, Stephen Pizer, Jan-Michael Frahm Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng W-9-M-316 MeshSNet: Deep Multi-Scale Mesh Feature Learning for End-to-End Tooth W-9-M-185 Automated Noninvasive Seizure Detection and Localization Using Switching Labeling on 3D Dental Surfaces Markov Models and Convolutional Neural Networks Chunfeng Lian, Li Wang, Tai-Hsien Wu, Mingxia Liu, Francisca Durán, Ching-Chang Ko, Jeffrey Craley, Christophe Jouny, Emily Johnson, Archana Venkataraman Dinggang Shen W-9-M-196 Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction W-9-M-325 A Deep Regression Model For Seed Localization In Prostate Brachytherapy of Posttraumatic Facial Defects Yading Yuan, Ren-Dih Sheu, Luke Fu, Yeh-Chi Lo Deqiang Xiao, Li Wang, Han Deng, Kim-Han Thung, Jihua Zhu, Peng Yuan, Yriu Rodrigues, Leonel Perez, Christopher E. Crecelius, Jaime Gateno, Tianshu Kuang, Steve G.F. Shen, Daeseung Kim, David M. Alfi, Pew-Thian Yap, James Xia, Dinggang Shen 89 90 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

POSTER SESSIONS POSTER SESSIONS Session 9: MIC meets CAI W-9-E-473 Deep Learning based Metal Artifacts Reduction in post-operative Cochlear Implant CT Imaging Wednesday, October 16, 15:30 – 16:30 (Cont.) Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Raffaelli Charles, Nicolas Guevara, Hervé Delingette W-9-M-338 Harmonic Balance Techniques in Cardiovascular Fluid Mechanics W-9-E-482 Semi-autonomous Robotic Anastomoses of Vaginal Cuffs using Marker Enhanced Taha Sabri Koltukluoğlu, Gregor Cvijetic, Ralf Hiptmair 3D Imaging and Path Planning W-9-F-350 Fourier Spectral Dynamic Data Assimilation: Interlacing CFD with 4D flow MRI Michael Kam, Hamed Saeidi, Shuwen Wei, Justin Opfermann, Simon Leonard, Michael Taha Sabri Koltukluoğlu Hsieh, Jin Kang, Axel Krieger W-9-F-359 Generating Pareto Optimal Dose Distributions For Radiation Therapy Treatment W-9-E-490 Frame Rate Up-Conversion in Echocardiography Using a Conditioned Variational Planning Autoencoder and Generative Adversarial Model Dan Nguyen, Azar Sadeghnejad Barkousaraie, Chenyang Shen, Xun Jia, Steve Jiang Fatemeh Taheri Dezaki, Hany Girgis, Robert Rohling, Ken Gin, Purang Abolmaesumi, W-9-F-368 Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure Terasa Tsang and Function W-9-E-499 Deep Learning-based Universal Beamformer for Ultrasound Imaging Igor Fortel, Mitchell Butler, Laura Korthauer, Liang Zhan, Yanfu Zhang, Lei Guo, Heng Shujaat Khan, Jaeyoung Huh, Jong Chul Ye Huang, Ira Driscoll, Olusola Ajilore, Anastasios Sidiropoulos, Dan Schonfeld, Alex Leow W-9-E-508 Doubly Weak Supervision of Deep Learning Models for Head CT W-9-F-383 Fetal Pose Estimation in Volumetric MRI using 3D Convolution Neural Network Khaled Saab, Jared Dunnmon, Roger Goldman, Alexander Ratner, Hersh Sagreiya, Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Ellen Grant, Kui Ying, Polina Christopher Re, Daniel Rubin Golland, Elfar Adalsteinsson W-9-F-389 Towards Whole Placenta Segmentation At Late Gestation Using Multi-View Ultrasound Images Veronika Zimmer, Alberto Gomez, Emily Skelton, Nicolas Toussaint, Tong Zhang, Bishesh Khanal, Robert Wright, Yohan Noh, Alison Ho, Jacqueline Matthew, Joseph Hajnal, Julia Schnabel W-9-F-397 Gastric Cancer Detection From Endoscopic Images Using Synthesis By GAN Teppei Kanayama, Yusuke Kurose, Kiyohito Tanaka, Kento Aida, Shin’Ichi Satoh, Masaru Kitsuregawa, Tatsuya Harada W-9-F-411 Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery Christina Gsaxner, Antonio Pepe, Jürgen Wallner, Dieter Schmalstieg, Jan Egger W-9-F-425 Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization Jwala Dhamala, Sandesh Ghimire, John L. Sapp, Bohumil Milan Horacek, Linwei Wang W-9-F-432 Attenuation Imaging with Pulse-Echo Ultrasound based on an Acoustic Reflector Richard Rau, Ozan Unal, Dieter Schweizer, Valery Vishnevskiy, Orcun Goksel W-9-E-446 A Sparsely Distributed Intra-cardial Ultrasonic Array for Real-time Endocardial Mapping Alon Baram, Hayit Greenspan, Zvi Friedman W-9-E-464 An Unsupervised Domain Adaptation Approach To Classification Of Stem Cell- Derived Cardiomyocytes Carolina Pacheco, Rene Vidal

91 92 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

MICCAI CHALLENGES Located in South China, Shenzhen is an MICCAIinternational CHALLENGE integrated transportation hub and economic center. As the first special Date: Wednesday October 16, 2019 economic zone in China, the history of Shenzhen has only 40 years, Time: 16:30-17:30 but its development is amazing, which has now reached a high level. Venue: Espana Ballroom The 40 years’ history of Shenzhen is the history of China after 1978 Title: MICCAI Grand Challenges: Statistics, New Developments and Surprising Insights in miniature. Some famous historical scenic spots in Shenzhen, like Speakers: Lena Maier-Hein, Annika Reinke, Qian Wang and Organizers of Selected MICCAI 2019 Zhongying Street, Shekou, The bronze statue of Deng Xiao-ping, and Challenges the Citizen’s Center, have seen the history of this great and young city, Abstract and the fight of the people in this city. Every year, hundreds of new algorithms are published in the field of biomedical image analysis. For a long time, validation and evaluation of new methods was based on the authors’ personal data sets, rendering fair and direct comparison of solutions impossible. In the meantime, common research practice has changed and involves organization of international challenges that allow for benchmarking algorithms on publicly released data sets. This talk is devoted to the topic of MICCAI grand challenges and comprises two parts:

(1) Statistics and recent developments: After more than 10 years of grand biomedical challenges at MICCAI, the MICCAI board has established a working group dedicated to analyzing and critically questioning common practice with the goal of bringing challenges to the next level of quality. The talk will review surprising insights resulting from the activities of the working group, review statistics on past challenges, and present the strategy of the MICCAI society to overcome some of the current issues in the future.

(2) Highlights from 2018 and 2019: The second part of the talk will present interesting findings and surprising highlights from the most recent MICCAI challenges. To this end, organizers of selected MICCAI 2019 challenges will be invited to share exciting results of their challenge in a spotlight presentation

93 94 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

Industry Industry Workshop at MICCAI 2019 09:00-17:00 Espana II Workshop OR 2.0 OR 2.0 Context-Aware Operating Theaters 08:30-12:00 Huading Hall Tutorial TOPGRAD Tutorial On Publishing, Grant Writing And Career 08:00-12:00 El Chino 6 Workshop SUSI Smart UltraSound Imaging 08:00-11:30 El Chino 3 Development Workshop SASHIMI Simulation and Synthesis for Medical Imaging 12:30-16:30 El Chino 3 Tutorial TACTICAL Tools Allowing Clinical Translation of Image 08:00-18:00 Madrid 6 VIP Workshop MMMI Multiscale Multimodal Medical Imaging 12:30-16:30 Madrid 2 Computing ALgorith Workshop MLMECH Machine Learning and Medical Engineering for 18:00-22:00 Madrid 5 Tutorial Image Registration during Minimally Invasive 08:00-12:30 Pippete: Cardiovascular Healthcare (MLMECH-MICCAI) Catheter-based Interventions Napoleon Workshop DART Domain Adaptation and Representation Transfer 18:00-22:00 Madrid 2 Tutorial Hypergraph Learning: Methods, Tools and 08:00-12:00 El Chino 5 (DART): Learning Transferable, Interpretable, and Applications in Medical Image Analysis Robust Representations Tutorial GAN Generative Adversarial Networks And Adversarial 08:00-12:00 Madrid 2 Workshop RNO-AI Radiomics and Radiogenomics in Neuro- 12:30-16:30 El Chino 6 Methods In Biomedical Image Analysis oncology using AI (RNO-AI) Workshop Tutorial BNA Human Brainnetome Atlas and its Applications 08:00-12:00 Coriander: Workshop COMPAY Second MICCAI Workshop on Computational 08:00-16:30 Madrid 5 Basil Pathology (COMPAY2019) Tutorial The Medical World is Different - Deep Learning 08:00-16:30 El Chino 4 Workshop CNI Connectomics in NeuroImaging Workshop, 2019 12:30-16:00 Pippete: with Clinical Data Latour Tutorial MIMIA’19 MICCAI tutorial on Medical Informatics in Medical 08:00-12:30 Pippete: Challenge CNI-TLC Connectomics in NeuroImaging–Transfer 18:00-20:00 Pippete: Image Analytics (MIMIA’19) Latour 2019 Learning Challenge 2019 Latour Workshop MLMI 10th International Workshop on Machine 08:00-18:00 Madrid 3 (In combination with CNI) Learning in Medical Imaging (MLMI2019) Challenge iSeg-2019 MICCAI Grand Challenge on 6-month Infant Brain 08:00-09:30 Barcelona Workshop CBM XIV MICCAI Workshop on Computational 09:00-17:00 Huading: MRI Segmentation 2019 Biomechanics for Medicine XIV Hitchcock Challenge StructSeg Automatic Structure Segmentation for 10:00-11:45 Barcelona Workshop STACOM Statistical Atlases and Computational Modeling 08:30-17:15 Madrid 6 2019 Radiotherapy Planning Challenge 2019 of the Heart Challenge Verge Seg Large Scale Vertebrae Segmentation Challenge 14:00-15:30 Barcelona Challenge CRT- Cardiac Resynchronization Therapy 10:45-12:00 Madrid 6 2019 EPiggy19 electrophysiological challenge 2019 (In Challenge KiTS19 MICCAI Kidney Tumor Segmentation Challenge 15:30-17:00 Barcelona combination with STACOM) 2019 Challenge LVQuan Left Ventricle Full Quantification Challenge 14:00-15:15 Madrid 6 Challenge EndoVis19 MICCAI Endoscopic Vision Challenge 2019 09:45-17:15 El Chino 2 19 MICCAI 2019 (In combination with STACOM) Challenge CuRIOUS The 2nd MICCAI Challenge for Correction of Brain 12:30-15:30 Huading Hall Challenge MS- MS-CMRSeg 2019: Multi-sequence Cardiac MR 15:30-17:15 Madrid 6 2019 shift with Intra-Operative Ultrasound CMRSeg Segmentation Challenge (In combination with 2019 STACOM) Challenge AutoGen- MICCAI Automatic Generation of Cardiovascular 15:30-16:00 Coriander: CDR19 Diagnostic Report Challenge 2019 Basil Workshop MIAR & International Conference on Medical Imaging 08:00-16:30 Madrid 8 AE-CAI and Augmented Reality (MIAR); Augmented Challenge IronTract IronTract Challenge 2019 18:00-20:00 Madrid 8 Environments for Computer-Assisted Challenge ISIC2019 International Skin Imaging Collaboration (ISIC) 18:00-20:00 Madrid 3 Interventions Challenge on Dermoscopic Skin Lesion Analysis Workshop CVII-STENT Computing and Visualisation for Intravascular 08:30-16:00 Huading: 2019 Imaging and Computer Assisted Stenting Winston Challenge ABCD-NP- ABCD Neurocognitive Prediction Challenge 12:30-16:30 El Chino 5 Churchill Challenge Workshop PRIME 2nd Workshop on PRedictive Intelligence in 08:00-17:30 Madrid 7 Medicine Workshop LABELS Large-Scale Annotation of Biomedical Data and 08:00-18:00 El Chino 1 Expert Label Synthesis

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WORKSHOP 16:00-16:30 One Venture Company to talk about the capital environment going forward in NAME: Industry Workshop at MICCAI 2019 the next few years DATE/TIME/VENUE: October 13 09:00-17:00 Espana II Speaker: Ruilin Zhao 16:30-17:00 A Technical Presentation Discuss Future Trend of AI in Imaging Purpose: To provide a platform for Radiologists, Physicians, Scholars, and Entrepreneurs from around the Speaker: Kevin Zhou world to discuss the latest development of technologies on medical imaging and image guided interven- 17:00 Adjourn tion, the future technical trend in these areas, prospective of productization and commercialization of the technologies developed by the broad MICCAI community. The event will also provide a network to facilitate collaborations between clinical, research, and industry.

09:00-09:15 Opening Remark 09:15-09:45 Radiologists’ View of Medical Imaging AI Invited Speaker: Ron Summers 09:45-10:15 Radiologists’ View of Medical Imaging AI Invited Speaker: Xiaoying Wang 10:15-10:30 Coffee Break 10:30-11:00 AI Technology from a Physician’s Perspective Invited Speaker: Yundai Chen 11:00-11:30 Academic View of Medical Imaging AI Invited Speaker: Hairong Zheng 11:30-12:00 Academic View of Medical Imaging AI Invited Speaker: Nassir Navab 12:00-13:30 Lunch 13:45-14:15 Invited speaker from NIH Invited Speaker: Behrouz N. Shabestari 14:15-14:35 United Imaging Intelligence Speaker: Yiqian Zhan 14:35-14:55 IFlyTek Healthcare Speaker: Xiaodong Tao 14:55-15:15 Intuitive Surgical Speaker: Tao Zhao 15:15-15:35 Lunit Speaker: Ki Hwan Kim 15:35-16:00 Coffee Break

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TUTORIAL: TOPGRAD TUTORIAL: TACTICAL NAME: Tutorial On Publishing, Grant Writing And Career Development NAME: Tools Allowing Clinical Translation of Image Computing ALgorithms DATE/TIME/VENUE: October 13 08:00-12:00 El Chino 6 DATE/TIME/VENUE: October 13 08:00-18:00 hrs Madrid 6 (VIP) ORGANIZERS: Markus D. Schirmer (Harvard Medical School); Olena G. Filatova (Delft University ORGANIZERS: Spyridon Bakas (University of Pennsylvania); Christos Davatzikos (University of of Technology); Ai Wern Chung (Harvard University) Pennsylvania)

08:00-08:10 Welcome and Introductions 08:00-09:30 TACTICAL SESSION AM 1 08:10-08:40 Publication Process and Strategies 08:00-08:05 Welcome - Introduction to T.A.C.T.I.C.AL. Spyridon Bakas (University of Pennsylvania) 08:40-09:20 From PhD Student to Post-Doctoral Fellow or Industry 08:05-08:50 Open Source Diffusion MRI Technology for Brain Cancer Research 09:20-09:30 Discussion Lauren J. O’Donnell, Fan Zhang (Harvard Medical School) 09:30-10:00 Coffee Break 08:50-09:35 Open-source Platform for Web-based Integrative Digital Image Analysis in 10:00-10:30 Grant Writing Experiences and Advice Cancer 10:30-11:00 How-To: Collaborations David Gutman, Lee Cooper (Emory University) 11:00-12:00 Remarks 09:35-10:00 Coffee break 10:00-11:30 TACTICAL SESSION AM 2 10:00-10:45 The Medical Imaging Interaction Toolkit Marco Nolden (German Cancer Research Center (DKFZ)) 10:45-11:30 Distributed Computational Image-based PHEnotyping and Radiomics Jens Petersen (German Cancer Research Center (DKFZ)) 11:30-14:00 Lunch break 14:00-15:30 TACTICAL SESSION PM 1 14:00-14:45 Harmonizing Preprocessing of Brain Tumor Scans Florian Kofler, Bjoern Menze (Technical University of Munich) 14:45-15:30 Quantitative Radiomics System Decoding the Tumor Phenotype Hugo Aerts (Dana-Farber Cancer Institute) 15:30 -16:30 Coffee break 16:30-18:00 TACTICAL SESSION PM 2 16:30-17:00 Panel Discussion on Tools Allowing Clinical Translation TBA - Clinical Perspective TBA - Industrial Perspective 17:00-18:00 Future directions

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TUTORIAL Image Registration during Minimally Invasive Catheter-based Interventions TUTORIAL NAME: Image Registration during Minimally Invasive Catheter-based NAME: Hypergraph Learning: Methods, Tools and Applications in Medical Image Interventions Analysis DATE/TIME/VENUE: October 13 08:00-12:30 Pippete: Napoleon DATE/TIME/VENUE: October 13 08:00-12:00 El Chino 5 ORGANIZERS: Gouthami Chintalapani (Siemens Medical Solutions USA Inc.); Ponraj ORGANIZERS: Yue Gao (Tsinghua University); Rongrong Ji (Xiamen University, China); Zizhao Chinnadurai (Siemens Medical Solutions USA Inc.); Jian Wang (Siemens Zhang (Tsinghua University) Healthineers) 08:00-08:45 Preliminaries of Hypergraph and Hypergraph Learning 08:00-09:30 Clinical Case Presentations: 4 Clinical Cases Highlighting Image Registration Yue Gao During Image Guided Liver Ablation, Trans-Catheter Arterial Chemoembolization, 08:45-09:30 The Recent Advances of Hypergraph Learning and Its Applications in Medical Image Guided EVAR and TEVAR Image Processing 09:30-10:00 Coffee Break Taisong Jin 10:00-12:30 Recorded talks from clinicians: 1-2 09:30-10:00 Coffee Break 10:00-10:30 Hypergraph Learning for Multi-Modality Neuroimaging-based Brain Disease Diagnosis Mingxia Liu 10:30-11:00 Applications of Hypergraph Learning on Medical Image Analysis Zizhao Zhang 11:00-11:30 A Tutorial on Hypergraph Learning Toolbox Haojie Lin 11:30-12:00 A Tutorial on Hypergraph Neural Network Toolbox Yifan Feng

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TUTORIAL: GAN TUTORIAL: BNA NAME: Generative Adversarial Networks And Adversarial Methods In Biomedical NAME: Human Brainnetome Atlas and its Applications Image Analysis DATE/TIME/VENUE: October 13 08:00-12:00 Coriander: Basil DATE/TIME/VENUE: October 13 08:00-12:00 Madrid 2 ORGANIZERS: Tianzi Jiang (Institute of Automation, Chinese Academy of Sciences); Lingzhong ORGANIZERS: Anirban Mukhopadhyay (TU Darmstadt); Arjan Kuijper (Fraunhofer Institute Fan (Brainnetome Center, Institute of Automation, Chinese Academy of for Computer Graphics Research IGD and Mathematical and Applied Visual Sciences); Zhengyi Yang (Brainnetome Center, Institute of Automation, Computing group, TU Darmstadt); Ivana Isgum (Amsterdam UMC - AMC); Chinese Academy of Sciences); Nianming Zuo (Brainnetome Center, Institute Jelmer M. Wolterink (Amsterdam UMC - AMC); Bram van Ginneken (Radboud of Automation , Chinese Academy of Sciences); Yong Liu (Brainnetome Center, University Medical Center) Institute of Automation, Chinese Academy of Sciences)

08:00-08:50 Generative Adversarial Networks 08:00-08:10 Welcome and Introduction Anirban Mukhopadhyay Tianzi Jiang 08:50-09:30 Adversarial Training Methods 08:10-08:55 Human Brainnetome Atlas and its Applications Jelmer Wolterink Tianzi Jiang, CASIA 09:30-10:00 Coffee Break 08:55-09:40 Connectivity-Based Parcellation Using Multimodal Connectivity Information 10:00-10:50 Adversarial Methods for Domain Adaptation and Semi-supervised Learning Lingzhong Fan, CASIA Konstantinos Kamnitsas 09:40-09:50 Coffee Break 10:50-11:30 Adversarial Methods for Image Segmentation, Synthesis and Quality 09:50-10:35 An Introduction on the Brainnetome Atlas Viewer Enhancement Zhengyi Yang, CASIA Jelmer Wolterink 10:35-11:10 DiffusionKit: A Light One-Stop Solution for Diffusion MRI Data Analysis, 11:30-12:00 General Q&A Session Nianming Zuo, CASIA 11:10-11:55 BRANT: A Versatile and Extendable Brainnetome fMRI Toolkit for Resting-state fMRI Data Processing and Visualization Yong Liu, CASIA 11:55 -12:00 Closing Words, All Presenters

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TUTORIAL TUTORIAL: MIMIA’19 NAME: The Medical World is Different - Deep Learning with Clinical Data NAME: MICCAI Tutorial On Medical Informatics In Medical Image Analytics (MIMIA’19) DATE/TIME/VENUE: October 13 08:00-16:30 El Chino 4 DATE/TIME/VENUE: October 13 08:00-12:30 Pippete: Latour ORGANIZERS: Nicola Rieke (NVIDIA); Abood Quraini (NVIDIA); Fausto Milletari (NVIDIA); Jonny Hancox (NVIDIA); Hoo-Chang Shin (NVIDIA Corporation) ORGANIZERS: Yufan Guo (IBM Research); Mehdi Moradi (IBM Research); Zhiyong Lu (NLM/ NCBI/NIH) 08:00-08:30 Introduction and Overview 08:00-08:30 Welcome 08:30-09:30 Clara Train and Federated Learning 08:30-09:15 Clinical Concept Extraction For Summarizing A Patient’s Record 09:30-10:00 Coffee Break Tanveer Syeda-Mahmood 10:00-11:30 Clara Federated Learning Hands-on 09:15-10:15 Break 11:20-12:30 Lunch Break 10:15-11:00 Clinical Natural Language Processing (NLP) and Deep Learning in Assisting 12:30-14:30 3D Segmentation with V-Net Hands On Medical Image Analysis Yifan Peng 14:30-16:30 DDeep Learning with Horovod Hands-on 11:00-12:30 MIMIC: Beyond the ICU Lucas Bulgarelli

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WORKSHOP: MLMI [MLMI-P-9] Ultrasound Liver Fibrosis Diagnosis using Multi-indicator guided Deep Neural NAME: 10th International Workshop on Machine Learning in Medical Imaging Networks (MLMI2019) [MLMI-P-10] Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI DATE/TIME/VENUE: October 13 08:00-18:00 Meeting: Madrid 3 Poster: Espana I [MLMI-P-11] BOLD fMRI-based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks ORGANIZERS: Heung-Il Suk (Korea University), Mingxia Liu (University of North Carolina at Chapel Hill), Pingkun Yan (Rensselaer Polytechnic Institute), Chunfeng Lian [MLMI-P-12] Adaptive Functional Connectivity Network using Parallel Hierarchical BiLSTM for (University of North Carolina at Chapel Hill) MCI Diagnosis [MLMI-P-13] Multi Task Convolutional Neural Network for Joint Bone Age Assessment and 08:00-08:10 Registration Ossification Center Detection from Hand Radiograph 08:10-08:20 Opening Remarks [MLMI-P-14] Spatial Regularized Classification Network for Spinal Dislocation Diagnosis 08:20-09:05 Plenary Talk: Full-Stack, Full-Spectrum AI in Medical Imaging [MLMI-P-15] GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for automatic detection Dinggang Shen of esophageal abnormalities in endoscopic images 09:05-09:50 Plenary Talk: From Data-Driven to Biophysics-Based AI in Medical Image Analysis [MLMI-P-16] A Relation Hashing Network Embedded with Prior Features for Skin Lesion Hervé Delingette Classification 09:50-10:00 Coffee Break [MLMI-P-17] Semi-Supervised Multi-Task Learning with Chest X-Ray Images 10:00-11:00 Session 1: Computer-Aided Detection/Diagnosis [MLMI-P-18] Novel Bi-directional Images Synthesis based on WGAN-GP with GMM-based Session Chairs: Mingxia Liu, Qingyu Zhao Noise Generation 10:00-10:15 [MLMI-O-1] Jointly Discriminative and Generative Recurrent Neural Networks for [MLMI-P-19] Joint Shape Representation and Classification for Detecting PDAC Learning from fMRI [MLMI-P-20] Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning 10:15-10:30 [MLMI-O-2] Learning-based Bone Quality Classification Method for Spinal Approach Metastasis [MLMI-P-21] A Hybrid Multi-atrous and Multi-scale Network for Liver Lesion Detection 10:30-10:45 [MLMI-O-3] Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory [MLMI-P-22] Renal Cell Carcinoma Staging with Learnable Image Histogram-based Deep Models for Lung Cancer Detection Neural Network 10:45-11:00 [MLMI-O-4] Lesion Detection with Deep Aggregated 3D Contextual Feature and [MLMI-P-23] Gated Recurrent Neural Networks for Accelerated Ventilation MRI Auxiliary Information [MLMI-P-24] A Cascaded Multi-Modality Analysis in Mild Cognitive Impairment 11:00-12:00 Poster Session [MLMI-P-25] An Active Learning Approach for Reducing Annotation Cost in Skin Lesion [MLMI-P-1] Unsupervised Conditional Consensus Adversarial Network for Brain Disease Analysis Identification with Structural MRI [MLMI-P-26] LSTMs and Resting-State fMRI for Classification and Understanding of Parkinson’s [MLMI-P-2] Semantic Filtering Through Deep Source Separation On Microscopy Images Disease [MLMI-P-3] FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D [MLMI-P-27] Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Abdominal CT Scans Brain Tumor Segmentation in Multi-Parametric MRI [MLMI-P-4] Detecting Lesion Bounding Ellipses with Gaussian Proposal Networks [MLMI-P-28] Brain MR Image Segmentation in Small Dataset with Adversarial Defense and [MLMI-P-5] Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection Task Reorganization [MLMI-P-6] Joint Localization of Optic Disc and Fovea in Ultra-Widefield Fundus Images [MLMI-P-29] Automated Segmentation of Skin Lesion Based on Pyramid Attention Network [MLMI-P-7] Reinforced Transformer for Medical Image Captioning [MLMI-P-30] Privacy-preserving Federated Brain Tumour Segmentation [MLMI-P-8] MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion [MLMI-P-31] Children’s Neuroblastoma Segmentation using Morphological Features Network

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10th International Workshop on Machine Learning in Medical Imaging (MLMI2019) (Cont.) [MLMI-P-56] Weakly Supervised Segmentation by a Deep Geodesic Prior [MLMI-P-32] Deep Active Lesion Segmentation 12:00-13:00 Lunch [MLMI-P-33] Automatic Couinaud Segmentation from CT Volumes on Liver Using GLC-Unet 13:00-14:30 Session 2: Medical Image Segmentation [MLMI-P-34] Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation Session Chairs: Heung-Il Suk, Jaeil Kim [MLMI-P-35] Learn to Step-wise Focus on Targets for Biomedical Image Segmentation 13:00-13:15 [MLMI-O-5] End-to-End Adversarial Shape Learning for Abdominal Organ Segmentation [MLMI-P-36] Weakly Supervised Learning Strategy for Lung Defect Segmentation 13:15-13:30 [MLMI-O-6] Boundary Aware Networks for Medical Image Segmentation [MLMI-P-37] A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs 13:30-13:45 [MLMI-O-7] Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation [MLMI-P-38] High- and Low-Level Feature Enhancement for Medical Image Segmentation 13:45-14:00 [MLMI-O-8] Lesion Detection by Efficiently Bridging 3D Context [MLMI-P-39] Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation 14:00-14:15 [MLMI-O-9] Cross-Modal Attention-Guided Convolutional Network for Multi- [MLMI-P-40] Tree-LSTM: Using LSTM to Encode Memory in Anatomical Tree Prediction from Modal Cardiac Segmentation 3D Images 14:15-14:30 [MLMI-O-10] Automatic Fetal Brain Extraction Using Multi-Stage U-Net with Deep [MLMI-P-41] Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Supervision Networks 14:30-14:40 Coffee Break [MLMI-P-42] Deep Residual Learning for Instrument Segmentation in Robotic Surgery 14:40-16:10 Session 3: Registration and Reconstruction [MLMI-P-43] Advancing Pancreas Segmentation in Multi-protocol MRI Volumes using Session Chair: Pingkun Yan, Marleen de Bruijne Hausdorff-Sine Loss Function 14:40-14:55 [MLMI-O-11] Communal Domain Metric Learning for Registration in Drifted [MLMI-P-44] Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Image Spaces Using Only A Few Training Images 14:55-15:10 [MLMI-O-12] Morphological Simplification of Brain MR Images by Deep Learning [MLMI-P-45] Unsupervised Lesion Detection with Locally Gaussian Approximation for Facilitating Deformable Registration [MLMI-P-46] Infant Brain Deformable Registration Using Global and Local Label-Driven Deep 15:10-15:25 [MLMI-O-13] Residual Attention Generative Adversarial Networks for Nuclei Regression Learning Detection on Routine Colon Cancer Histology Images [MLMI-P-47] Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint 15:25-15:40 [MLMI-O-14] Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Detection Ultrasound Images [MLMI-P-48] Conv2Warp: An Unsupervised Deformable Image Registration with Continuous 15:40-15:55 [MLMI-O-15] Select, Attend, and Transfer: Light, Learnable Skip Connections Convolution and Warping 15:55-16:10 [MLMI-O-16] Confounder-Aware Visualization of ConvNets [MLMI-P-49] FAIM-A ConvNet Method for Unsupervised 3D Medical Image Registration 16:10-16:30 Coffee Break [MLMI-P-50] Pseudo-Labeled Bootstrapping and Multi-Stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett’s Esophagus 16:20-17:50 Session 4: Automated Medical Image Analysis Session Chair: Jaeil Kim, Ziyue Xu [MLMI-P-51] Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps 16:20-16:35 [MLMI-O-17] DCCL: A Benchmark for Cervical Cytology Analysis [MLMI-P-52] Dense-residual Attention Network for Skin Lesion Segmentation 16:35-16:50 [MLMI-O-18] WSI-Net: Branch-based and Hierarchy-aware Network for Segmentation and Classification of Breast Histopathological Whole-slide Images [MLMI-P-53] A Maximum Entropy Deep Reinforcement Learning Neural Tracker 16:50-17:05 [MLMI-O-19] Globally-Aware Multiple Instance Classifier for Breast Cancer [MLMI-P-54] Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed Screening after Pelvic Fractures 17:05-17:20 [MLMI-O-20] Smartphone-Supported Malaria Diagnosis Based on Deep Learning [MLMI-P-55] Joint Holographic Detection and Reconstruction

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WORKSHOP: CBM XIV 10th International Workshop on Machine Learning in Medical Imaging (MLMI2019) (Cont.) NAME: Computational Biomechanics for Medicine XIV 17:20-17:35 [MLMI-O-21] Multi-Template based Auto-weighted Adaptive Structural Learning for ASD Diagnosis DATE/TIME/VENUE: October 13 09:00-17:00 Huading: Hitchcock 17:35-17:50 [MLMI-O-22] Improving Whole-Brain Neural Decoding of fMRI with Domain ORGANIZERS: Karol Miller (The University of Western Australia), Adam Wittek, Grand Joldes, Adaptation Poul Nielsen, Martyn Nash 17:50-18:00 Closing Remarks (Best papers will be announced) 09:00-09:10 Opening remarks Karol Miller 09:10-11:40 Session 1: Computational Solid Mechanics 09:10-09:40 Lung Tumour Tracking Based on Patient-Specific Biomechanical Model of the Respiratory System Hamid Ladjal, Lyon, France 09:40-10:10 Simulation of Soft Tissue Deformation in Real-Time Using Domain Decomposition Ryadh Hafessas, Strasbourg, France 10:10-10:40 Design of Auxetic Coronary Stents by Topology Optimization Zhen Luo, Sydney, Australia 10:40-11:10 Coffee Break 11:10-11:40 Physics-based Deep Neural Network for Real-Time Lesion Tracking in Ultrasound- guided Breast Biopsy Andrea Mendizabal, Strasbourg, France 11:40-12:30 Keynote Lecture: What has Image-Based Modelling of Cerebrospinal Fluid Flow in Chiari Malformation Taught Us About Syringomyelia Mechanisms? Lynne Bilston, Sydney, Australia 12:30-14:00 Lunch 14:00-15:30 Session 2: Topics in patient-specific computations 14:00-14:30 Towards Visualising and Understanding Patient-Specific Biomechanics of Abdominal Aortic Aneurysms Kiara Beinart, Perth, Australia 14:30-15:00 Pipeline for 3D Reconstruction of Lung Surfaces Using Intrinsic Features Under Pressure-Controlled Ventilation Samuel Richardson, Auckland, New Zealand 1500-15:30 A Flux-Conservative Finite Difference Scheme for Anisotropic Bioelectric Problems George Bourantas, Perth, Australia 15:30-16:00 Coffee Break 16:00-17:00 Panel Discussion on Challenges for Computational Biomechanics for Medicine and Closure Adam Wittek

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WORKSHOP: STACOM 11:00-11:10 Electrophysiological Model Personalisation to Porcine in-vivo Data for Paced NAME: Statistical Atlases and Computational Modeling of the Heart Activation Prediction CRT-EPIGGY19 Challenge Cedilnik, M Sermesant LV Full Quantification Challenge Multi-Sequence Cardiac MR Segmentation Challenge 11:10-11:20 Evaluation of Meshless Methods for Cardiac Electrophysiological Simulations based on Porcine Experimental Data DATE/TIME/VENUE: October 13 08:30-17:15 Meeting: Madrid 6 KA Mountris, E Pueyo Poster: Espana I 11:20-11:30 Prediction of Electrical Activation Patterns After Cardiac Resynchronization ORGANIZERS: Alistair Young (The University of Auckland) Therapy in Porcine Hearts with Meshless Models C Albors, E Lluch, JM, R Doste, O Camara, M De Craene, H Morales

08:30-08:35 Welcome and agenda 11:30-11:40 Prediction of CRT Activation Sequence by Personalization of Biventricular Model from Electroanatomical Maps 08:35-09:15 Keynote lecture: Disentangled representation learning in medical imaging JF Gomez, B Trenor, R Sebastian Sotirios A. Tsaftaris (University of Edinburgh, UK) 11:40-11:50 Optimization of CRT Therapy Device based on Personalized Computer Model 09:15-10:30 Regular Papers S Khamzin, A Dokuchaev, O Solovyova 09:15-09:27 Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable 11:50-12:00 Challenge wrap-up Biomarkers and Variational Autoencoders EP Anton, B Ruijsink, J Clough, I Oksuz, D Rueckert, R Razavi, A King 12:00-12:36 Regular poster teaser (2 min for each poster) 09:27-09:40 A Cascade Regression Model for Anatomical Landmark Detection 12:36-14:00 Lunch, scoring Z Tan, Y Duan, Z Wu, J Feng, J Zhou Regular Papers Fully Automatic Bi-Atria Segmentation from Late Gadolinium-Enhanced MRIs 09:40-09:52 Comparison of 2D Echocardiography and Cardiac Cine MRI in the Assessment of Using Double Convolutional Neural Networks Regional Left Ventricular Wall Thickness Zhaohan Xiong, Aaqel Nalar, Kevin Jamart, Martin Stiles, Vadim Fedorov, Jichao Zhao V van Hal, D Zhao, K Gilbert, TPB Gamage, C Mauger, RN Doughty, ME Legget, J Zhao, A Nalar, O Camara, AA Young, VY Wang, M Nash Two-stage 2D CNN for Automatic Atrial Segmentation from LGE-MRIs 09:52-10:05 Learning Interactions Between Cardiac Shape and Deformation: Application to Kevin Jamart, Zhaohan Xiong, Gonzalo Maso Talou, Martin Stiles, Jichao Zhao Pulmonary Hypertension M Di Folco, P Clarysse, P Moceri, N Duchateau DeepLA: Automated Segmentation of Left Atrium from Interventional 3D Rotational Angiography Using CNN 10:05-10:17 Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Kobe Bamps, Stijn De Buck, Jeroen Bertels, Rik Willems, Christophe Garweg, Peter Formation Risk in the Left Atrial Appendage Haemers, Joris Ector X Morales, J Mill, KA Juhl, A Olivares, G Jimenez-Perez, RR Paulsen, O Camara 10:17-10:30 Probabilistic Motion Modeling from Medical Image Sequences: Application to Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Cardiac Cine-MRI Training J Krebs, T Mansi, N Ayache, H Delingette Huaqi Qiu, Chen Qin, Loic Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert 10:30-10:45 Coffee Break 3D Left Ventricular Segmentation From 2D Cardiac MR Images Using Spatial 10:45-12:00 CRT-EPIGGY19 Challenge Context Sofie Tilborghs, Tom Dresselaers, Piet Claus, Jan Bogaert, Frederik Maes 10:45-11:00 Best (and Worst) Practices for Organizing a Challenge on Cardiac Biophysical Models during AI Summer: the CRT-EPiggy19 Challenge Non-Invasive Pressure Estimation in Patients with Pulmonary Arterial O Camara Hypertension: Data-driven or Model-based? Yingyu Yang, Stephane Gillon, Jaume Banus Cobo, Pamela Moceri, Maxime Sermesant

113 114 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

Statistical Atlases and Computational Modeling of the Heart (STACOM) (Cont.) Evaluation of Meshless Methods for Cardiac Electrophysiological Simulations Multimodal Cardiac Segmentation Using Disentangled Representation Learning based on Porcine Experimental Data Agisilaos Chartsias, Georgios Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, Konstantinos A. Mountris, Esther Pueyo​ David Newby, Rohan Dharmakumar, Sotirios Tsaftaris Prediction of Electrical Activation Patterns After Cardiac Resynchronization Towards Hyper-Reduction of Cardiac Models using Poly-Affine Deformation Therapy in Porcine Hearts with Meshless Models Gaetan Desrues, Hervé Delingette, Maxime Sermesant Carlos Albors, Eric Lluch, Jordi Mill, Rubén Doste, Oscar Camara, Mathieu De Craene, Hernán Morales​ Conditional Generative Adversarial Networks for the Prediction of Cardiac Contraction from Individual Frames Prediction of CRT Activation Sequence by Personalization of Biventricular Model Julius Ossenberg-Engels, Vicente Grau from Electroanatomical Maps Juan Francisco Gomez, Rafa Sebastian Co-registered Cardiac Ex Vivo DT Images and Histological Images for Fibrosis Quantification Optimization of CRT Therapy Device based on Personalized Computer Model Peter Lin, Anne Martel, Susan Camilleri, Mihaela Pop Svyatoslav Khamzin, Arsenii Dokuchaev, Olga Solovyova Posters: Multi-sequence Cardiac MR Segmentation Challenge Manufacturing of Ultrasound & MRI Compatible Aortic Valves Using 3D Printing Unsupervised Multi-Modal Style Transfer for Cardiac MR Segmentation for Analysis & Simulation Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Shu Wang, Harminder Gill, Weifeng Wan, Joao Filipe Fernandes, Yohan Noah, Helen Daniel Rueckert​ Tricker, Ronak Rajani, Sergio Uribe, Jesus Urbina, Julio Sotello, Pablo Lamata, Kawal Rhode Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI End-to-end Cardiac Ultrasound Simulation for a Better Understanding of Image Vicotr Manuel Campello, Carlos Martin-Isla, Cristian Izquierdo Morcillo, Miguel Ángel Quality González Ballester, Karim Lekadir​ Alexandre Legay, Thomas Tiennot, Jean-Francois Gelly, Maxime Sermesant, Jean Bulté Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation 4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences Network Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding Mark Michalski, Neil Tenenholtz, Holger Roth SK-Unet: an Improved U-net Model with Selective Kernel for the Segmentation of Ultra-DenseNet for Low-Dose X-Ray Image Denoising in Cardiac Catheter-Based Multi-sequence Cardiac MR Procedures Xiyue Wang, Sen Yang, Mingxuan Tang, Yunpeng Wei, Xiao Han, Ling He, Jing Zhang Yimin Luo, Daniel Toth, Kui Jiang, Kuberan Pushparajah, Kawal Rhode Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Combined Intensity- and Point-Based Cardiac Registration in the Presence of Adaptation Landmark Errors Sulaiman Vesal, Nishant Ravikumar, Andreas Maier Mia Mojica, Mehran Ebrahimi Cardiac Segmentation of LGE MRI with Noisy Labels Modality Independent Left Ventricle Scar Classification Holger Roth, Wentan Zhu, Dong Yang, Ziyue Xu, Daguang Xu​ Hugh O’Brien, John Whitaker, Baldeep Sidhu, Justin Gould, Tanja Kurzendorfer, Mark O’Neill, Ronak Rajani, Christopher Rinaldi, Kawal Rhode, Peter Mountney, Steven An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Niederer Image Posters: CRT-EPIGGY19 Challenge Yashu Liu, Wei Wang, Kuanquan Wang, Chengqin Ye, Gongning Luo Electrophysiological Model Personalisation to Porcine in-vivo Data for Paced Activation Prediction Deep Learning Based Multi-Model Cardiac MR Image Segmentation Nicolas Cedilnik, Maxime Sermesant Rencheng Zheng, Xingzhong Zhao

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Statistical Atlases and Computational Modeling of the Heart (STACOM) (Cont.) 15:40-15:53 Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN C Chen, C Ouyang, G Tarroni, J Schlemper, H Qiu, W Bai, D Rueckert Xumin Tao, Hongrong Wei, Wufeng Xue, Dong Ni 15:53-16:06 Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI Adversarial Convolutional Networks with Weak Domain-Transfer for Multi- VM Campello, C Martin-Isla, CI Morcillo, MAG Ballester, K Lekadir Sequence Cardiac MR Images Segmentation Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern Menze​ 16:06-16:19 Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network Pseudo-3D Network for Multi-sequence Cardiac MR Segmentation J Wang, H Huang, C Chen, W Ma, Y Huang, X Ding Tao Liu, Yun Tian, Shifeng Zhao, Xiaoying Huang, Yang Xu, Gaoyuan Jiang, Qingjun 16:19-16:32 SK-Unet: an Improved U-net Model with Selective Kernel for the Segmentation of Wang Multi-sequence Cardiac MR X Wang, S Yang, M Tang, Y Wei, X Han, L He, J Zhang A Two-Stage Fully Automatic Segmentation Scheme Using Both 2D and 3D U-Net for Multi-Sequence Cardiac MR 16:32-16:45 Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Haohao Xu, Zhuangwei Xu, Wenting Gu, Qi Zhang Adaptation S Vesal, N Ravikumar, A Maier Knowledge-Based Multi-Sequence MR Segmentation Via Deep Learning with a 16:45-16:58 Cardiac Segmentation of LGE MRI with Noisy Labels hybrid U-Net++ model H Roth, W Zhu, D Yang, Z Xu, D Xu Jinchang Ren, He Sun, Yumin Huang, Hao Gao​ 17:00-17:15 Closing and awards Style Data Augmentation for Robust Segmentation of Multi-Modality Cardiac MRI Buntheng LY, Hubert Cochet, Maxime Sermesant 14:00-15:15 LV Full Quantification Challenge 14:00-14:20 Challenge data and description from the organizers 14:20-14:30 Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs N Gessert, A Schlaefer 14:30-14:40 Left Ventricle Quantification with Cardiac MRI : Deep Learning Meets Statistical Models of Deformation JC Acero, H Xu, E Zacur, J Schneider, P Lamata, A Bueno-Orovio, V Grau 14:40-14:50 Left Ventricular Parameter Regression From Deep Feature Maps of a Jointly Trained Segmentation CNN S Tilborghs, F Maes​ 14:50-15:00 A Two-Stages Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation Z Zhao, N Boutry, E Puybareau, T Géraud 15:00-15:15 Challenge wrap-up 15:15-15:30 Coffee Break 15:30-17:00 Multi-Sequence Cardiac MR Segmentation Challenge Organizers: Xiahai Zhuang, Lei Li, Jiahang Xu, Yuncheng Zhou, Xinzhe Luo. 15:30-15:40 Challenge introduction

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WORKSHOP: MIAR & AE-CAI NAME: International Conference on Medical Imaging and Augmented Reality Automatic Detection of Calcium Phosphate Deposit Plugs at the Terminal Ends of (MIAR); Augmented Environments for Computer-Assisted Interventions Kidney Tubules David R. Holmes III DATE/TIME/VENUE: October 13 08:00-16:30 Meeting: Madrid 8 Poster: Espana I 09:30-10:00 Coffee Break & Poster Viewing ORGANIZERS: Xiongbiao Luo (Xiamen University); Hongen Liao (Tsinghua University); Elvis 10:00-11:00 Video-based Interventions and Surgical Instrument Detection: Long Oral Presentation Chen (Robarts Research Institute); Marta A Kersten (Concordia University); Details Preserved Unsupervised Depth Estimation by Fusing Traditional Stereo Cristian Linte (Rochester Institute of Technology, USA); Jonathan McLeod Knowledge from Laparoscopic Images (Intuitive Surgical); Ziv Yaniv (National Library of Medicine) Fucang Jia

Learning the Representation of Instrument Images in Laparoscopy Videos 08:00-08:15 Welcome and Introduction Sabrina Kletz 08:15-09:15 Virtual Reality Applications: Long Oral Presentations A Virtual Linear Measurement System for Accurate Quantification of Medical Learning Colon Centerline from Optical Colonoscopy, a New Way to Generate a Images Map of the Internal Colon Surface Gavin V Wheeler Mohammad Ali Armin

Deep Segmentation Leverages Geometric Pose Estimation in Computer-Aided Realistic Endoscopic Image Generation Method Using Virtual-to-real Image- Total Knee Arthroplasty domain Translation Pedro Rodrigues Masahiro Oda

Development and Face Validation of Ultrasound-Guided Renal Biopsy Virtual A Marker-less Real Time Intra-Operative Camera and Hand-Eye Calibration Trainer Procedure for Surgical Augmented Reality Andinet Enquobahrie Megha Kalia

09:15-09:30 Virtual Reality Applications: Short Oral Presentations (6) Endoscopic Video Defogging Using Luminance Blending Non-invasive Reconstruction of Dynamic Myocardial Transmembrane Potential Xiongbiao Luo with Graph Based Total Variation Constraints Shuting Xie 11:00-12:00 Video-based Interventions and Surgical Instrument Detection: Short Oral Presentation Real-time Surgical Instrument Detection in Robot-Assisted Surgery using a Upper Gastrointestinal Anatomy Detection with Multi-Task Convolutional Neural Convolutional Neural Network Cascade Networks Zijian Zhao Jiquan Liu Weakly Supervised Segmentation for Real-time Surgical Tool Tracking Morphological Active Contour without Edge-Based Model for Real-Time and Eung-Joo Lee Nonrigid Uterine Fibroid Tracking in HIFU Treatment Hongen Liao Simultaneous Shape and Camera-Projector Parameter Estimation for 3D Endoscopic System Using CNN-based Grid-Oneshot Scan Probability Analysis of Axillary Lymph Node Metastasis in Breast Cancer Patients Ryo Furukawa using Particle Space-time Distribution Model Fang Chen Stable Polyp-Scene Classification via Subsampling and Residual Learning from Imbalanced Large Dataset Determining Blood Flow Direction from Short Neurovascular Surgical Microscope Hayato Itoh Videos Reid Vassallo

119 120 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

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WORKSHOP: CVII-STENT International Conference on Medical Imaging and Augmented Reality (MIAR); Augmented Environments for Computer-Assisted Interventions (Cont.) NAME: Computing and Visualisation for Intravascular Imaging and Computer Assisted Stenting 11:00-12:00 Real-time Surgical Instrument Tracking in Robot-Assisted Surgery Using Multi- Domain CNN DATE/TIME/VENUE: October 13 08:30-16:00 Huading: Winston Churchill Liang Qiu ORGANIZERS: Simone Balocco (University of Barcelona); Stefano Moriconi (King’s College 12:00-14:00 Lunch and Poster Viewing London, UK); Luc Duong (École de technologie supérieure, ); Guillaume 14:00-14:45 Invited Keynote Lecture: Artificial Intelligence in Endoscopic Procedures Zahnd (Technical University of Munich); Katharina Breininger (Friedrich- Prof. Kensaku Mori Alexander-University Erlangen-Nürnberg); Shadi Albarqouni (Technical University of Munich); Renzo Phellan (University of Calgary); Stefanie Demirci 14:45-15:30 AR for Interventional Planning and Guidance: Long Oral Presentations (Technical University Munich); Su-Lin Lee (Imperial College London) Towards AR-assisted Visualization and Guidance for Imaging of Dental Decay Yaxuan Zhou 08:30-09:30 Workshop opening HoloInjection: Augmented Reality Support for CT-guided spinal Needle Injections 08:45-09:30 Invited Talk Florian Heinrich 09:30-10:00 Coffee Break An Augmented Reality Mastectomy Surgical Planning Prototype using the 10:00-11:30 Session I HoloLens Chairs: S. Balocco, K. Breininger Sara Ms. Amini 10:00-10:20 The Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time 15:30-16:00 Coffee Break and Poster Viewing Estimation Accuracy in 4D ASL MRA Datasets - a Flow Phantom Study 16:00-16:30 Awards and Closing Remarks Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre Falcão, Nils Daniel Forkert

10:20-10:40 Towards Quantifying Neurovascular Resilience Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, H. Rolf Jager, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso 10:40-11:00 Random 2.5D U-net for Fully 3D Segmentation Christoph Angermann Markus Haltmeier 11:00-11:20 Abdominal Aortic Aneurysm Segmentation Using Convolutional Neural Networks Trained with Images Generated with a Synthetic Shape Model Karen López-Linares, Maialen Stephens, Inmaculada García, Ivan Macia, Miguel Ángel González Ballester, Raúl San José 11:30-14:00 Lunch Break 14:00-15:00 Session II Chairs: R. Phellan, S. Moriconi 14:00-14:20 Tracking of intracavitary Instrument Markers in Coronary Angiography Images Yihe Zhang, Xiuxiu Bai, Qinhua Jin, Jing Jing, Yundai Chen, Qiang Liu, Wenhui Tang, Quanmao Lu, Yanan Mi, Rui Zhu, Yihui Cao 14:20-14:40 Advanced Multi-objective Design Analysis to Identify Ideal Stent Design Ramtin Gharleghi, Heidi Wright, Somesh Khullar, Jinbo Liu, Tapabrata Ray, Susann Beier

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WORKSHOP: PRIME Computing and Visualisation for Intravascular Imaging and Computer Assisted Stenting (Cont.) NAME: 2nd Workshop on PRedictive Intelligence in Medicine 14:40-15:00 Simultaneous Intracranial Artery Tracing and Segmentation from Magnetic Resonance Angiography by Joint Optimization from Multiplanar Reformation DATE/TIME/VENUE: October 13 08:00-17:30 Meeting: Madrid 7 Li Chen, Gaoang Wang, Niranjan Balu, Mahmud Mossa-Basha, Xihai Zhao, Rui Li, Le He, Poster: Espana I Thomas Hatsukami, Jenq-Neng Hwang, Chun Yuan ORGANIZERS: Islem Rekik (Istanbul Technical University); Ehsan Adeli (Stanford University); 15:00-15:30 Healthy Vessel Wall Detection Using U-Net in Optical Coherence Tomography Sang-Hyun Park (Daegu Gyeongbuk Institute of Science and Technology) Shengnan Liu, Denis P. Shamonin, Guillaume Zahnd, A.F.W. van der Steen, Theo van Walsum, Gijs van Soest 08:00-09:00 Registration 15:30-16:00 Coffee Break 09:15-09:30 Introduction and Welcome 09:30-10:45 Oral Session 1: Disease Diagnosis 09:30-9:45 O1: TADPOLE Challenge: Accurate Alzheimer’s Disease Prediction Through Crowdsourced Forecasting Of Future Data Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young Li, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Polina Golland, Stefan Klein, Daniel C. Alexander 09:45-10:00 O2: Modeling Disease Progression In Retinal OCTs With Longitudinal Self- Supervised Learning Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogel, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic 10:00-10:15 O3: Deep Learning via Fused Bidirectional Attention Stacked Long Short-term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening Chiyu Feng, Lili Jin, Chuangyong Xu, Peng Yang, Tianfu Wang, Baiying Lei, Tianfu Wang, Ziwen Peng 10:15-10:30 O4: Diagnosis of Parkinson’s Disease in Genetic Cohort Patients via Stage-wise Hierarchical Deep Polynomial Ensemble learning Haijun Lei, Hancong Li, Ahmed Elazab, Xuegang Song, Zhongwei Huang, Baiying Lei 10:30-10:45 O5: Generative Adversarial Irregularity Detection in Mammography Images Milad Ahmadi, Mohammad Sabokrou, Mahmood Fathy, Reza Berangi, Ehsan Adeli 10:45 - 11:30 Keynote Speech 1 Deep Learning and Big Data Exploration for Preventive and Precision Medicine in Radiology Le Lu (Bethesda Research Lab)

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2nd Workshop on PRedictive Intelligence in Medicine (Cont.) 14:15-15:00 Keynote Speech 2 Geometrical Understanding of CNN for Biomedical Image Reconstruction 11:30- 14:00 Lunch and Poster Session Jong Chul Ye (KAIST) P1: Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility Study 15:00-15:30 Oral Session 2 Alina Giger, Christoph Jud, Damien Nguyen, Miriam Krieger, Ye Zhang, Antony J. 15:00-15:15 O6: Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Lomax, Oliver Bieri, Rares Salomir, Philippe C. Cattin Graph Prediction and Classification From a Source Graph Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik P2: Adaptive Neuro-Fuzzy Inference System-based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-state 15:15-15:30 O7: Automatic Detection of Bowel Disease with Residual Networks Progression/ fMRI Regression using Irregularity Age Map in Brain MRI Ahmed M. Anter, Zhiguo Zhang Robert Holland, Uday Patel, Phillip Lung, Elisa Chotzoglou, Bernhard Kainz 15:30-16:00 Coffee Break P3: Predicting Response to the Antidepressant Bupropion using Pretreatment fMRI 16:00-16:45 Keynote Speech 3 Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Learning Clinically Useful Information from Medical Images Trivedi, Albert Montillo Prof Rueckert 16:45-17:15 Oral Session 3 P4: Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer using a Non-Proportional Hazards Model 16:45-17:00 O8 : Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Alexander Katzmann, Alexander Muhlberg, Michael Suhling, Dominik Norenberg, Networks Stefan Maurus, Julian Walter Holch, Volker Heinemann, Horst-Michael Gro Ihsan Ullah, Philip Chikontwe, Sang Hyun Park 17:00-17:15 O9: Progressive Infant Brain Connectivity Evolution Prediction from Neonatal RI P5: 7 years of Developing Seed Techniques for Alzheimer’s Disease Diagnosis using Bidirectionally Supervised Sample Selection using Brain Image and Connectivity Data Largely Bypassed Prediction for Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik Prognosis Mayssa Soussia, Islem Rekik 17:15-17:30 Closing Remarks Best Paper Award P6: Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Best Reviewer Acknowledgment Cognitive Impairment Aojie Li, Ling Yue, Manhua Liu, Shifu Xiao

P7: Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-Resolution Neighborhoods Kubra Cengiz, Islem Rekik

P8: Support Vector based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimers Disease Qifan Yang, Sophia I. Thomopoulos, Linda Ding, Wesley Surento, Paul M. Thompson, Neda Jahanshad

P9: Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, Junmo Kim

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OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

WORKSHOP: LABELS NAME: Large-scale Annotation of Biomedical data and Expert Label Synthesis 12:30-13:00 Weakly Supervised Segmentation from Extreme Points Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, DATE/TIME/VENUE: October 13 08:00-16:30 Meeting: El Chino 1 Daguang Xu Poster: Espana I ORGANIZERS: Nicholas E Heller (University of Minnesota); Raphael Sznitman (University of Exploring the Relationship between Segmentation Uncertainty, Segmentation Bern); Veronika Cheplygina (Eindhoven University of Technology); Diana Mateus Performance and Inter-observer Variability with Probabilistic Networks (Technische Universität München); Emanuele Trucco (University of Dundee) Elisa Chotzoglou, Bernhard Kainz

Semi-Supervised Video Object Segmentation as Annotation Tool for Endoscopic 08:00-08:15 Welcome and LABELS Review Video Nicholas Heller Tom Eelbode, Paul Suetens, Raf Bisschops, Frederik Maes 08:15-08:45 Spotlight Presentations The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018 08:45-09:45 Interactive Session I Nicholas Heller, Jack Rickman, Christopher Weight, Nikolaos Papanikolopoulos 09:45-10:00 Coffee Break Data Augmentation based on Substituting Regional MRI Volume Scores 10:00-11:00 Keynote I Tuo Leng, Qingyu Zhao, Chao Yang, Zhufu Lu, Ehsan Adeli, Kilian M. Pohl Annika Reinke 11:00-11:45 Oral Presentations DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head XiangyaDerm: A Clinical Image Dataset of Asian Race for Skin Disease Aided and Neck Images with Lightweight CNNs Diagnosis WenHui Lei, Huan Wang, Ran Gu, ShiChuan Zhang, GuoTai Wang Bin Xie, Xiaoyu He, Shuang Zhao, Yi Li, Juan Su, Xinyu Zhao, Yehong Kuang, Yong Wang, Xiang Chen, Mixture Density Networks for Existence-Aware Nuclei Detection Hamid Fehri, Ali Gooya, Korsuk Sirinukunwattana, Jens Rittscher, Alejandro Frangi Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation 13:00-14:00 Interactive Session II in CT Scans Daria Zotova, Aneta Lisowska, Owen Anderson, Vismantas Dilys, Alison O’Neil 14:00-14:30 Oral Presentations The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018 Deep Interactive Segmentation of Multiple Organs from Head and Neck Images Nicholas Heller, Jack Rickman, Christopher Weight, Nikolaos Papanikolopoulos with Lightweight CNNs Data Augmentation based on Substituting Regional MRI Volume Scores WenHui Lei, Huan Wang, Ran Gu, ShiChuan Zhang, GuoTai Wang Tuo Leng, Qingyu Zhao, Chao Yang, Zhufu Lu, Ehsan Adeli, Kilian M. Pohl 14:30-15:30 Keynote II 12:00-13:00 Lunch and Posters Bjoern Menze Posters 15:30-16:20 Interactive Session III XiangyaDerm: A Clinical Image Dataset of Asian Race for Skin Disease Aided Diagnosis 16:20-16:30 Awards and Closing Bin Xie, Xiaoyu He, Shuang Zhao, Yi Li, Juan Su, Xinyu Zhao, Yehong Kuang, Yong Wang, Raphael Sznitman Xiang Chen

Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans Daria Zotova, Aneta Lisowska, Owen Anderson, Vismantas Dilys, Alison O’Neil

Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Marcel Luthi, Thomas Vetter

127 128 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

WORKSHOP: OR 2.0 NAME OR 2.0 Context-Aware Operating Theaters Session III Chair: Stefanie Speidel DATE/TIME/VENUE: October 13 08:30-12:00 hrs Huading Hall 10:15-11:05 Oral Presentation: ‘Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration’ ORGANIZERS: Stefanie Speidel, Lena Maier-Hein, Danail Stoyanov Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim, Marius Distler, Jürgen Weltz, Stefanie Speidel 11:05-11:20 Oral Presentation: ‘Guided Unsupervised Desmoking of Laparoscopic Images 08:30-08:40 Opening Using Cycle-Desmoke’ Chairs: Duygu Sarikaya, Stefanie Speidel Vishal V, Munendra Singh, Neeraj Sharma 08:40-09:00 Keynote: “Surgical Visual Pecreption towards AI-powered Context-Aware Session IV Chairs: Omid Mohareri, Imanol Luengo Operating Theatres’ Qi Dou 11:20-11:50 Industrial Session & Awards Session 1 Chairs: Nicolas Padoy, Duygu Sarikaya Closing Chairs: Duygu Srikaya, Stefanie Speidel 09:00-09:15 Oral Presentation: ‘Feature Aggregation Decoder for Segmenting Laparoscopic 11:50-12:00 Closing Scenes’ Abdolrahim Kadkhodamohammadi, Imanol Luengo, Santiago Barbarisi, Hinde Taleb, Evangello Flouty, Danail Stoyanov 09:15-09:30 Oral Presentation: ‘Preoperative Planning for Guidewires employing Shape- Regularized Segmentation and Optimized Trajectories’ Johannes L Fauser, Moritz Fuchs, Ahmed Ghazy, Bernhard Dorweiler, Anirban Mukhopadhyay 09:30-10:00 Coffee Break 10:00-10:20 Keynote: ‘A Versatile Solution for Robotaided Surgery in Constrained Workspaces: SmartArm and Related Technologies’ Murilo M. Marinho Session II Chair: Pierre Jannin 10:00-10:15 Oral Presentation: ‘Live Monitoring of Hemodynamic Changes with Multispectral Image Analysis’ Leonardo Ayala, Sebastian Wirkert, Janek Groehl, Mildred Herrera, Adrian Hernandez, Anant Vermuri, Edgar Santos, Lena Maier-Hein 10:15-10:30 Oral Presentation: ‘Towards a Cyber-Physical Systems Based Operating Room of the Future’ Chin Boon Chng, Pooi Mun Wong, Nicholas Ho, Xiaoyu Tan, Chee-Kong Chui 10:30-10:50 Keynote: ‘Neurosurgical Robot in the Unstructured Operating Room Environment: Perception and Modeling’ Guangzhi Wang

129 130 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

WORKSHOP: SUSI 09:05-09:10 Poster Teaser Session (Cont.) NAME: Smart UltraSound Imaging Deep Learning Based Minimum Variance Beamforming for Ultrasound Imaging DATE/TIME/VENUE: October 13 08:00-11:30 hrs Meeting: El Chino 3 Renxin Zhuang, Junying Chen Poster: Espana I 09:10-10:00 Poster session ORGANIZERS: Alberto Gomez (King’s College London); Kristin McLeod (GE Healthcare); Veronika All accepted papers presented as posters A Zimmer (King’s College London); Oliver Zettinig (ImFusion GmbH) 09:30-10:00 Coffee Break/Poster Session 10:00-10:50 Keynote Talk: AI-Driven Ultrasound for Diagnosis and Intervention Purang Abolmaesumi 08:00-08:05 Welcome and introduction 10:50-11:20 Oral session 3: Ultrasound image formation, reconstruction and visualization 08:05-08:35 Oral session 1: Guided examination SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound 08:05-08:20 Straight to the Point: Reinforcement Learning for User Guidance in Ultrasound Images Fausto Milletari, Vighnesh Birodkar, Michal Sofka Jiajun Liang, Rian Huang, Peiyao Kong, Shengli Li, Tianfu Wang, Baiying Lei

08:20-08:35 Registration of Untracked 2D Laparoscopic Ultrasound Images to CT using Representation Disentanglement for Multi-Task Learning with Application to Fetal Content-based Retrieval and Kinematic Priors Ultrasound João Ramalhinho, Henry Tregidgo, Moustafa Allam, Nikolina Travlou, Kurinchi Gurusamy, Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz Brian Davidson, David Hawkes, Dean Barratt, Matthew Clarkson 11:20-11:30 Awards and wrap-up 08:35-09:05 Oral session 2: Assisted image interpretation and Biometrics 11:30 End of Workshop 08:35-08:50 Direct Detection and Measurement of Nuchal Translucency with Neural Networks from Ultrasound Images Tianchi Liu, Mengdi Xu, Ziyu Zhang, Changping Dai, Haiyu Wang, Rui Zhang, Lei Shi, Shuang Wu 08:50-09:05 Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach Andrew Gilbert, Marit Holden, Line Eikvil, Svein Aase, Eigil Samset, Kristin McLeod 09:05-09:10 Poster Teaser Session Adversarial Learning for Deformable Image Registration: Application to 3D Ultrasound Image Fusion Zisheng Li, Masahiro Ogino

Monitoring Achilles Tendon Healing Progress in Ultrasound Imaging with Convolutional Neural Networks Piotr Woznicki, Przemyslaw Przybyszewski, Norbert Kapinski, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz Borucki, Tomasz Trzcinski, K. S. Nowinski

Deep Learning-based Pneumothorax Detection in Ultrasound Videos Courosh Mehanian, Rachel Millin, Sourabh Kulhare, Xinliang Zheng, Cynthia Gregory, Meihua Zhu, Hua Xie, Andrew Jones, Jack Lazar, Amber Halse, Todd Graham, Mike Stone, Kenton Gregory, Ben Wilson

131 132 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

WORKSHOP: SASHIMI NAME: Simulation and Synthesis for Medical Imaging 14:15-15:00 Physics-Informed Brain MRI Segmentation Pedro Borges, Carole Sudre, Thomas Varsavsky, David Thomas, Ivana Drobnjak, DATE/TIME/VENUE: October 13 12:30-16:30 Meeting: El Chino 3 Sebastien Ourselin, M. Jorge Cardoso Poster: Espana I 3D Medical Image Synthesis by Factorised Representation and Deformable ORGANIZERS: Ali Gooya (University of Leeds; Ninon Burgos (Brain and Spine Institute, Paris); Model Learning David Svoboda (Masaryk University) Thomas Joyce, Sebastian Kozerke An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images Benjamin Haeffele, Christian Pick, Ziduo Lin, Evelien Mathieu, Stuart Ray, Rene Vidal 12:30-12:35 Opening remarks Cycle-consistent training for Reducing Negative Jacobian Determinant in Deep 12:35-14:05 Oral Session Registration Networks Dongyang Kuang 12:35-12:55 Breast Mass Detection in Mammograms via Blending Adversarial Learning Unpaired Multi-Modal MR Image Synthesis using Generative Adversarial Chunze Lin, Ruixiang Tang, Darryl Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Networks Dashan Gao, Jie Zhou Muhammad Sohail, Muhammad Naveed Riaz, Jing Wu, Chengnian Long, Shaoyuan Li 12:55-13:15 Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Membranes in Confocal Microscopy Images Convolutional Neural Network Dennis Eschweiler, Tim Klose, Florian Nicolas Müller-Fourage, Marcin Kopaczka, Noëlie Debs, Meghane Decroocq, Tae-Hee Cho, David Rousseau, Carole Frindel Johannes Stegmaier Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features 13:15-13:35 Pseudo-Normal PET Synthesis with Generative Adversarial Networks for Ziyue Xu, Xiaosong Wang, Hoo Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Localising Hypometabolism in Epilepsies Ling Zhang, Daguang Xu Siti Nurbaya Yaakub, Colm J. McGinnity, James Clough, Eric Kerfoot, Nadine Girard, Eric Guedj, Alexander Hammers 15:00-15:45 Keynote Talk: Known Operator Learning–Towards Integration of Physical Models into Machine Learning 13:35-13:55 iSMORE: an Iterative Self Super-Resolution Algorithm Andreas Maier Can Zhao, Seoyoung Son, Yongsoo Kim, Jerry Prince 15:45-16:15 Panel Discussion 13:55-14:15 Unsupervised Retina Image Synthesis via Disentangled Representation Learning Andreas Maier, Sotirios Tsaftaris, Alejandro Frangi, Jerry Prince Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng 16:15-16:30 Closing remarks, best paper and poster awards 14:15-15:00 Poster Session Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert

Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning Kerstin Klaser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian Hutton, M. Jorge Cardoso, Sebastien Ourselin

Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis Kumar Abhishek, Ghassan Hamarneh

Empirical Bayesian Mixture Models for Medical Image Translation Mikael Brudfors, John Ashburner, Parashkev Nachev, Yael Balbastre

133 134 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

WORKSHOP: MMMI WORKSHOP: MLMECH NAME: 1st International Workshop on Multiscale Multimodal Medical Imaging NAME: Machine Learning and Medical Engineering for Cardiovascular Healthcare (MLMECH-MICCAI) DATE/TIME/VENUE: October 13 12:30-16:30 Madrid 2 DATE/TIME/VENUE: October 13 18:00-22:00 Madrid 5 ORGANIZERS: Quanzheng Li (Massachusetts General Hospital and Harvard Medical School); Richard Leahy (University of Southern California); Bin Dong (Peking University); ORGANIZERS: Zijian Ding (Tsinghua University); Guijin Wang (Tsinghua University) Xiang Li (Massachusetts General Hospital and Harvard Medical School) Oral Session 1 Keynote Talk O-MLMECH-1 Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Pushing the Temporal Resolution of Dynamic PET Using Multiscale Information Enhanced Deep Convolutional Neural Networks and the EXPLORER Total-Body PET Scanner Binhang Yuan, Wenhui Xing Jinyi Qi O-MLMECH-2 An Ensemble Neural Network for Multi-label Classification of Electrocardiogram Oral Presentation Dongya Jia, Wei Zhao, Zhenqi Li, Cong Yan, Hongmei Wang, Jing Hu, Jiansheng Fang O-MMMI-1 Multi-Modal Image Prediction via Spatial Hybrid U-Net O-MLMECH-3 Multi-label Classification of Abnormalities in 12-lead ECG Using 1D CNN and Akib Zaman, Lu Zhang, Jingwen Yan, Dajiang Zhu LSTM O-MMMI-2 Automatic Segmentation of Liver CT Image Based on Dense Pyramid Network Chengsi Luo, Hongxiu Jiang, Quanchi Li Nini Rao Hongli Xu, Binhua Wang Poster Session O-MMMI-3 OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Oral Session 2 Images Yu Chen, Jiawei Chen, Dong Wei, Yuexiang Li, Yefeng Zheng O-MLMECH-4 Particle Swarm Optimization for Great Enhancement in Semi-Supervised Retinal Vessel Segmentation with Generative Adversarial Networks O-MMMI-4 Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Qiang Huo, Geyu Tang, Feng Zhang Data Ning Qiang, Bao Ge, Qinglin Dong, Fangfei Ge, Tianming Liu O-MLMECH-5 Deep Learning to Improve Heart Disease Risk Prediction Shelda Sajeev, Anthony Maeder, Stephanie Champion, Alline Beleigoli, Cheng Ton, O-MMMI-5 Single-scan Dual-tracer Separation Network Based on Pre-trained GRU Xianglong Kong, Minglei Shu Junyi Tong, Yunmei Chen, Huafeng Liu O-MLMECH-6 Attention-Guided Decoder in Dilated Residual Network for Accurate Aortic Valve O-MMMI-6 Liver Detection and Segmentation using Holistically Nested Edge Detection HED Segmentation in 3D CT Scans Mask RCNN Bowen Fan, Naoki Tomii, Hiroyuki Tsukihara, Eriko Maeda, Haruo Yamauchi, Kan Supriti S Mulay, Deepika G, Jeevakala S, Keerthi Ram, Mohanasankar Sivaprakasam Nawata, Asuka Hatano, Shu Takagi, Ichiro Sakuma Minoru Ono O-MMMI-7 aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection Yini Pan, Hongfeng Li, Lili Liu, Quanzheng Li, Xinlin Hou, Bin Dong O-MMMI-8 Automatic Sinus Surgery Skill Assessment Based on Instrument Segmentation and Tracking in Endoscopic Video Shan Lin, Fangbo Qin, Randall Bly, Kris Moe, Blake Hannaford

135 136 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

WORKSHOP: DART Harmonization and Targeted Feature Dropout for Generalized Segmentation: NAME: Domain Adaptation and Representation Transfer (DART): Learning Application to Multi-site Traumatic Brain Injury Images Transferable, Interpretable, and Robust Representations Yilin Liu, Gregory Kirk, Brendon Nacewicz, Martin A Styner, Mingren Shen, Dong Nie, DATE/TIME/VENUE: October 13 18:00-22:00 Madrid 2 Nagesh Adluru, Benjamin Yeske, Peter Ferrazzano, Andrew Alexander ORGANIZERS: Nicola Rieke (NVIDIA); Fausto Milletari (NVIDIA); Abood Quraini (NVIDIA); Shadi Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans Albarqouni (Technische Universität München, Germany); Daguang Xu (NVIDIA Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph Stember, Jonathan Shoag, Christopher Corporation); Ziyue Xu (NVIDIA); Maximilian Baust (Technical University of Barbieri, Ulas Bagci, Sachin Jambawalikar Munich); Konstantinos Kamnitsas (Imperial College London); M. Jorge Cardoso Multi-Domain Adaptation in Brain MRI through Paired Consistency and (UCL); Jorge Cardoso (Kings College London) Adversarial Learning Henry Mauricio M Orbes Arteaga, Thomas Varsavsky, Carole Sudre, Zach Eaton-Rosen, Lewis Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sebastien Ourselin, Marc Program Subject to Confirmation Modat, Parashkev Nachev, Jorge Cardoso Keynote Speech Klaus Maier-Hein Oral Presentations Multi-layer Domain Adaptation for Deep Convolutional Networks Ozan Ciga, Jianan Chen, Anne Martel Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions Akihiro Fukuda, Tadashi Miyamoto, Shunsuke Kamba, Kazuki Sumiyama A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection Feng Zhang, Yutong Xie, Yong Xia, Yanning Zhang Temporal Consistency Objectives Regularize the Learning of Disentangled Representations Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios Tsaftaris Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten Kortuem, Volker Tresp Intramodality Domain Adaptation using Self Ensembling and Adversarial Training Zahil Shanis, Samuel Gerber, Mingchen Gao, Andinet Enquobahrie Improving Pathological Structure Segmentation Via Transfer Learning Across Diseases Barleen Kaur, Paul Lemaître, Raghav Mehta, Nazanin Mohammadi Sepahvand, Doina Precup, Douglas Arnold, Tal Arbel Learning Interpretable Disentangled Representations using Adversarial VAEs Mhd Hasan Sarhan, Abouzar Eslami, Nassir Navab, Shadi Albarqouni Synthesising Images and Labels Between MR Sequence Types With CycleGAN Eric Kerfoot, Esther Puyol Anton, Bram Ruijsink, Rina Ariga, Ernesto Zacur, Pablo Lamata, Julia A Schnabel

137 138 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

WORKSHOP: RNO-AI NAME: Radiomics and Radiogenomics in Neuro-oncology using AI (RNO-AI) 15:45-16:15 Invited Talk: Unresolved Clinical Questions in Radiogenomics of Brain Tumors Workshop Dr. Michel Bilello DATE/TIME/VENUE: October 13 12:30-16:30 El Chino 6 16:15-16:25 Closing Remarks ORGANIZERS: Hassan Mohy-ud-Din (LUMS); Saima Rathore (University of Pennsylvania)

12:30-12:45 Welcome Hassan Mohy-ud-Din 12:45-13:15 Invited Talk: Advances in Brain Tumor Segmentation Algorithms Bjoern Menze 13:15-14:15 Oral 1: On Validating Multimodal MRI Based Stratification of IDH Genotype in High Grade Gliomas Using CNNs and its Comparison to Radiomics Tanay Chougule, Sumeet Shinde, Vani Santosh, Jitender Saini, Madhura Ingalhalikar

Oral 2: Multimodal MRI for Radiogenomic Analysis of PTEN Mutation in Glioblastoma Yiming Li, Dong Wei, Yuchao Liang, Zhiyan Sun, Xing Fan, Shaowu Li, Zhong Zhang, Tao Jiang, Xing Liu, Tianyi Qian, Yinyan Wang

Oral 3: Deep Radiomic Features from MRI Scans Predict Survival Outcome of Recurrent Glioblastoma Ahmad Chaddad, Saima Rathore, Mellie Zhang, Christian Desrosiers, Tamim Niazi

Oral 4: A Feature-Pooling and Signature-Pooling Method for Feature Selection for Quantitative Image Analysis: Application to a Radiomics Model for Survival in Glioma Zhenwei Shi, Chong Zhang, Inge Compter, Maikel Verduin, Ann Hoeben, Danielle Eekers, Andre Dekker, Leonard Wee 14:15-14:45 Invited Talk: Current Trends and Open Problems in Radiogenomics of Gliomas Dr. Pallavi Tiwari 14:45-15:45 Oral 1: cuRadiomics: A GPU-based Radiomics Feature Extraction Toolkit Yining Jiao, Oihane Mayo Ijurra, Lichi Zhang, Dinggang Shen, Qian Wang

Oral 2: Imaging Signature of 1p/19q Co-Deletion Status Derived via Machine Learning in Lower Grade Glioma Saima Rathore, Ahmad Chaddad, Nadeem Haider Bukhari

Oral 3: Radiomics-Enhanced Multi-Task Neural Network for Non-invasive Glioma Subtyping and Segmentation Zhiyuan Xue, Bowen Xin, Dingqian Wang, Xiuying Wang

Oral 4: TBD/TBA

139 140 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

WORKSHOP: COMPAY WORKSHOP CNI NAME: Second MICCAI Workshop on Computational Pathology NAME: Connectomics in NeuroImaging Workshop, 2019 DATE/TIME/VENUE: October 13 08:00-16:30 Meeting: Madrid 5 DATE/TIME/VENUE: October 13 12:30-16:00 Meeting: Pippete: Latour Poster: Espana I Poster: Espana I ORGANIZERS: Francesco Ciompi (Radboud University Medical Center, Netherlands); Nasir ORGANIZERS: Ai Wern Chung (Harvard University); Markus D. Schirmer (Harvard University); Rajpoot (University of Warwick); Jeroen van der Laak (Radboud University Minjeong Kim (University of North Carolina); Islem Rekik (Istanbul Technical Medical Center); Shadi Albarqouni (Technische Universität München, Germany); University); Archana Venkataraman (Johns Hopkins University); Mitko Veta (Eindhoven University of Technology); Tao Tan (Eindhoven University of Technology); Zhang Li (National University of Defense Technology, China) 12:30-12:40 Opening remarks 12:40-13:25 Keynote Speech: Consistent white matter tractography parcellation across the 08:00-08:30 Registration lifespan to study the brain’s connections in health and disease 08:30-08:50 Session 1 Dr Fan Zhang, Laboratory of Mathematics in Imaging, Harvard Medical School, USA Opening + LYSTO introduction + instructions + release test set 13:25-13:37 Oral 1: Covariance Shrinkage for Dynamic Functional Connectivity 08:50-09:30 Invited Talk Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum,Edith V. Sullivan, Jonny Hancox, NVIDIA Kilian Pohl 09:30-09:50 DASGAN - Joint Domain Adaptation and Segmentation for the Analysis of Epithelial 13:37-13:49 Oral 2: Rapid Acceleration of the Permutation Test via Transpositions Regions in Histopathology PD-L1 Images Moo Chung, Linhui Xie, Shih-Gu Huang, Yixian Wang, Jingwen Yan, Li Shen 09:50-10:10 Stain Standardization Capsule: A pre-processing module for histopathological image 13:49-14:01 Oral 3: A Machine Learning Framework for Accurate Functional Connectome analysis Fingerprinting and an Application of a Siamese Network Ali Shojaee, Kendrick Li, Gowtham Atluri 10:10-10:30 Coffee Break 14:01-14:13 Oral 4: Unsupervised Feature Selection via Adaptive Embedding and Sparse 10:30-11:10 Session 2 : Invited Talk Learning for Parkinson’s Disease Diagnosis Zhu Hongguang, Vice President of Chinese Society of Pathology Zhongwei Huang, Haijun Lei, Guoliang Chen, Shiqi Li, Hancong Li, Ahmed Elazab, 11:10-11:30 Self-Supervised Similarity Learning for Digital Pathology Baiying Lei 11:30-11:50 A Generic Neural Network Approach to Infer Segmenting Classifiers for Disease- 14:14-14:25 Oral 5: A Novel Graph Neural Network to Localize Eloquent Cortex in Brain Tumor Associated Regions in Medical Images Patients from Resting-State fMRI Connectivity Naresh Nandakumar, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana 11:50-12:00 LYSTO Q/A Venkataraman 12:00-13:30 Lunch + posters session 14:25-15:10 Keynote Speech: Developmental Connectomics from Infancy through Early 13:30-14:10 Session 3: Invited Talk Childhood Raghavan Venugopal, Director of Imaging and Algorithms at Roche Prof. Yong He, Beijing Key Laboratory of Brain Imaging & Connectomics, Beijing Normal University, China 14:10-14:30 NuClick: From Clicks in the Nuclei to Nuclear Boundaries 15:10-16:30 Poster Session and Coffee Break 14:30-14:50 Quantitative assessment of colorectal cancer via conditional generative adversarial Poster 1: Unsupervised Feature Selection via Adaptive Embedding and Sparse networks Learning for Parkinson’s Disease Diagnosis 14:50-15:00 LYSTO Q/A Zhongwei Huang, Haijun Lei, Guoliang Chen, Shiqi Li, Hancong Li, Ahmed Elazab, Baiying Lei 15:00-16:00 Coffee break + posters session 16:00-16:30 Talks organizing committee Poster 2: A Novel Graph Neural Network to Localize Eloquent Cortex in Brain 16:30 LYSTO winner award, presentation winning team, closing Tumor Patients from Resting-State fMRI Connectivity Naresh Nandakumar, Komal Manzoor, Jay Pillai, Sachin Gujar, Haris Sair, Archana Venkataraman

141 142 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

CHALLENGE: CNI-TLC 2019 Connectomics in NeuroImaging Workshop, 2019 (Cont.) NAME: Connectomics in NeuroImaging-Transfer Learning Challenge 2019 Poster 3: Graph Morphology-Based Genetic Algorithm for Classifying Late Dementia States DATE/TIME/VENUE: October 13 18:00-20:00 Pippete: Latour Oumaima Ben Khelifa, Islem Rekik ORGANIZERS: Markus D. Schirmer (Harvard Univeristy); Ai Wern Chung (Harvard University); Poster 4: Covariance Shrinkage for Dynamic Functional Connectivity Minjeong Kim (University of North Carolina); Islem Rekik (Istanbul Technical Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum,Edith Sullivan, Kilian University); Archana Venkataraman (Johns Hopkins University) Pohl Poster 5: Rapid Acceleration of the Permutation Test via Transpositions Moo Chung, Linhui Xie, Shih-Gu Huang, Yixian Wang, Jingwen Yan, Li Shen 18:00-18:30 CNI-Transfer Learning Challenge Opening remarks Poster 6: Heat Kernels with Functional Connectomes Reveal Atypical Energy Transport in Peripheral Subnetworks in Autism 18:30-18:45 Participant 1: Linear Support Vector Machine Framework to Predict Abnormal Markus D. Schirmer, Ai Wern Chung Functional Connectivity Poster 7: A Mass Multivariate, Edge-wise Approach for Combining Multiple Hassna Irzan, Michael Hütel, Sebastien Ourselin, Neil Marlow, Andrew Melbourne Connectomes to Improve the Detection of Group Differences Javid Dadashkarimi, Siyuan Gao, Erin Yeagle, Stephanie Noble, Dustin Scheinost Participant 2: Classification ADHD Disorder against Healthy based on Spectra of Poster 8: Adversarial Connectome Embedding for Mild Cognitive Impairment the Normalized Laplacians Identification using Cortical Morphological Networks Egor Levchenko Alin Banka, Islem Rekik Poster 9: A Machine Learning Framework for Accurate Functional Connectome Participant 3: Domain Independent SVM for CNI Challenge Fingerprinting and an Application of a Siamese Network Shuo Zhou, Mwiza Kunda, Haiping Lu Ali Shojaee, Kendrick Li, Gowtham Atluri Poster 10: Test-Retest Reliability of Functional Networks for Evaluation of Data- Participant 4: Ensemble Model for CNI Challenge Driven Parcellation Shuo Zhou, Mwiza Kunda, Haiping Lu Jianfeng Zeng, Anh The Dang, Gowtham Atluri Poster 11: Constraining Disease Progression Models Using Subject Specific Participant 5: Learning Generalizable Recurrent Neural Networks from Small Connectivity Priors Task-fMRI Datasets Anvar Kurmukov, Yuji Zhao, Ayagoz Mussabaeva, Boris Gutman Nicha C. Dvornek, Juntang Zhuang Poster 12: Hemodynamic Matrix Factorization for Functional Magnetic 18:45-19:45 CNI-Evaluation & Discussion Resonance Imaging Michael Hütel, Michela Antonelli, Jinendra Ekanayake, Sebastien Ourselin, Andrew 19:45-20:00 Awards and Closing remarks Melbourne Poster 13: Network Dependency Index Stratified Subnetwork Analysis of Functional Connectomes: An application to autism Ai Wern Chung, Markus D. Schirmer

143 144 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

CHALLENGE: iSeg-2019 CHALLENGE: StructSeg 2019 NAME: MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation 2019 NAME: Automatic Structure Segmentation for Radiotherapy Planning Challenge (placed together as a “Grand Segmentation Challenge”) 2019 (placed together as a “Grand Segmentation Challenge”) DATE/TIME/VENUE: October 13 08:00-09:30 Barcelona DATE/TIME/VENUE: October 13 10:00-11:45 Barcelona ORGANIZERS: Li Wang ORGANIZERS: Hongsheng Li

08:00 Opening Remarks Li Wang, Gang Li, Dinggang Shen 10:00-10:15 Keynote and award ceremony 08:00-08:10 3D U-Net Baseline for iSeg-2019 and an Attempt at Dealing with Multiple Sites Challenge Organizers Data via Histogram Matching (Team: FightAutism) 10:15-10:25 Talk by Head & Chest OAR Segmentation Task Runner-Up Jun Ma, Xiaoping Yang 10:25-10:35 Talk by Head & Chest OAR Segmentation Task Winner 08:10-08:20 Masked Attention Encoder-Decoder Networks for Isointense Infant Brain Segmentation (Team: PerceptionComputingLab_HIT) 10:35-10:45 Talk by Nasopharynx Cancer Segmentation Task Runner-Up Gongning Luo 10:45-10:55 Talk by Nasopharynx Cancer Segmentation Task Winner 08:20-08:30 Spatially Weighted Network with Adversarial Domain Adaptation for Infant 10:55-11:05 Keynote Brain MRI Segmentation (Team: SmartDSP) invited speaker Wenao Ma 11:05-11:15 Talk by Chest Oar Segmentation Task Runner-Up 08:30-08:40 Six-Month Infant Brain Magnetic Resonance Image Tissue Segmentation Using 11:15-11:25 Talk by Chest OAR Segmentation Task Winner Multiatlas Segmentation with Joint Label Fusion and Convolutional Neural Networks (Team: nic_vicorob) 11:25-11:35 Talk by Lung Cancer GTV Segmentation Task Runner-Up Kaisar Kushibar 11:35-11:45 Talk by Lung Cancer GTV Segmentation Task Winner 08:40-08:50 DRNetF : A Dense Residual Network with Few Parameters for Brain Tissue Segmentation (Team: RB) Ramesh Basnet 08:50-09:00 Anatomically Constrained Convolutional Neural Network for Infant Brain Segmentation (Team: Brain_Tech) Mingyuan Liu 09:00-09:10 Efficient 3D Fully Convolutional Networks for 6-month Infant Brain MRI Segmentation (Team: OxfordIBME) Hoileong Lee 09:10-09:20 Evaluation of Adult SLANT on Infant Brain MRI (Team: MASI) Bennett Landman 09:20-09:30 Efficient 3D Dense U-Net with Contour Regression for 6-month Infant Brain MRI Segmentation (Team: WorldSeg) Zhan Liu 09:30 Closing

145 146 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

CHALLENGE: VerSe-2019 CHALLENGE: KiTS19 NAME: Large Scale Vertebrae Segmentation Challenge 2019 NAME: MICCAI Kidney Tumor Segmentation Challenge 2019 (placed together as a “Grand Segmentation Challenge”) (placed together as a “Grand Segmentation Challenge”) DATE/TIME/VENUE: October 13 14:00-15:30 Barcelona DATE/TIME/VENUE: October 13 15:30-17:00 Barcelona ORGANIZERS: Anjany Sekuboyina, Informatics & Klinikum rechts der Isar, Technical University ORGANIZERS: Nicholas Heller, Christopher Weight of Munich; Alexander Valentinitsch, Klinikum rechts der Isar, Technical University of Munich; Bjoern Menze, Informatics, Technical University of Munich; Jan Kirschke, Klinikum rechts der Isar, Technical University of Munich;Thomas Link, 15:30-15:40 Keynote: The Design of the KiTS19 Challenge Radiology, University of California in San Francisco Nicholas Heller 15:40-16:20 Oral Presentations 14:00-14:15 Keynote: What next? Clinical motivation for segmenting vertebrae. An Attempt at Beating the 3D U-Net Speaker: Dr. Jan Kirschke Fabian Isensee, Klaus H. Maier-Hein 14:15-14:30 Keynote: Designing VerSe`19: Baseline, Evaluation, and Complications Cascaded Semantic Segmentation for Kidney and Tumor Speaker: Anjany Sekuboyina Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan 14:30-14:50 Award ceremony + Talk Segmentation of kidney tumor by multi-resolution VB-nets Speaker: NVIDIA Guangrui Mu, Zhiyong Lin, Miaofei Han, Guang Yao, Yaozong Gao 14:50-15:30 Participants’ talks: Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes 1. An Automatic Multi-stage System for Vertebra Segmentation and Labelling Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Maodong Chen, Xi Cheng, Dalong Cheng Zhong Solution to the Kidney Tumor Segmentation Challenge 2019 2. Vertebrae Localization and Segmentation with SpatialConfiguration-Net and Jun Ma U-Net Christian Payer, Darko Štern, Horst Bischof, Martin Urschler 16:20-16:30 Keynote: The Clinical Significance of Kidney and Kidney Tumor Segmentation Christopher Weight, MD 3. TBA

147 148 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

CHALLENGE: EndoVis19 CHALLENGE: CuRIOUS 2019 NAME: MICCAI Endoscopic Vision Challenge 2019 NAME: The 2nd MICCAI Challenge for Correction of Brain shift with Intra-Operative Ultrasound DATE/TIME/VENUE: October 13 09:45-17:15 El Chino 2 DATE/TIME/VENUE: October 13 12:30-15:30 Huading Hall ORGANIZERS: Lena Maier-Hein ORGANIZERS: Yiming Xiao, Matthieu Chabanas, Hassan Rivaz, Ingerid Reinertsen

09:45-10:15 Opening 12:30-12:40 Welcome & Introduction of CuRIOUS 2019 10:15-10:45 Keynote: Unraveling Ranking Uncertainty In Challenge Data: Is There Really a Clear Winner? 12:40-13:10 Keynote Lecture M. Wiesenfarth, German Cancer Research Center 13:10-14:10 Oral Presentations by Challenge Participants 10:45-11:45 Stereo Correspondence and Reconstruction of Endoscopic Data 14:10-15:00 Panel Discussion 11:45-13:45 Lunch 15:00-15:30 Challenge Results, Award Ceremony and Closing Remarks 13:45-14:45 Robust Medical Instrument Segmentation (ROBUST-MIS) 14:45-15:30 Keynote: How Many Examples Do We Need to Truly Understand Surgery? D. Asselmann, CTO Theator Inc. 15:30-16:00 Coffee Break 16:00-17:00 Surgical Workflow and Skill Analysis 17:00-17:15 Closing

149 150 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

CHALLENGE: AutoGen-CDR19 CHALLENGE: IronTract Challenge 2019 NAME: MICCAI Automatic Generation of Cardiovascular Diagnostic Report NAME: IronTract Challenge 2019 Challenge 2019 DATE/TIME/VENUE: October 13 18:00-20:00 Madrid 8 DATE/TIME/VENUE: October 13 15:30-16:00 Coriander: Basil ORGANIZERS: Anastasia Yendiki ORGANIZERS: Rongrong Ji

18:00-18:20 Chemical Tracing as Ground Truth for Diffusion Tractography 15:30-16:00 Keynote: Introduce of Cardiovascular Diagnostic Report Generation Anastasia Yendiki Rongrong Ji 18:20-18:35 The QMENTA platform 16:00-16:20 Winner presentations Irina Sanchez 16:20-16:30 Leaderboard presentation & Closing 18:35-19:00 Results of the IronTract challenge Chiara Maffei 19:00-20:00 Presentations by challenge participants

151 152 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

CHALLENGE: ISIC2019 CHALLENGE: ABCD-NP-Challenge NAME: International Skin Imaging Collaboration (ISIC) Challenge on Dermoscopic NAME: Adolescent Brain Cognitive Development Neurocognitive Prediction Skin Lesion Analysis 2019 Challenge DATE/TIME/VENUE: October 13 18:00-20:00 Madrid 3 DATE/TIME/VENUE: October 13 12:30-16:30 Meeting: El Chino 5 Poster: Espana I ORGANIZERS: Noel C. F. Codella, Marc Combalia, Brian Helba ORGANIZERS: Kilian M. Pohl (Stanford University); Wesley K Thompson (UCSD); Ehsan Adeli (Stanford); Bennett A. Landman (Vanderbilt University); Marius G. Linguraru 18:00-18:40 Introduction (Children’s National Health System); Susan Tapert (UCSD) Marc Combalia, Brian Helba, Registration 18:40-19:00 Challenge Winner Nils Gessert 12:30-12:40 Welcome and Introduction 19:00-19:15 Challenge First Runner-up (Image-only Task) 12:40-13:40 Oral Session 1 Steven Chow O1 (UCL CMIC) ID_24 “ABCD Neurocognitive Prediction Challenge 2019: Predicting individual 19:15-19:30 Challenge Second Runner-up (Image-only Task) Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation Federico Pollastri and Kernel Ridge Regression” 19:30-19:45 Challenge First Runner-up (Image and Metadata Task) ID_20 “ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Nguyen Tien Zung Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology” 19:45-20:00 Roundtable Discussion & Future Plans Agoston Mihalik, Mikael Brudfors, Maria Robu, Fabio Santos Ferreira, Hongxiang Lin, Marc Combalia, Brian Helba Anita Rau, Tong Wu, Stefano B. Blumberg, Baris Kanber, Maira Tariq, Maria Del Mar Estarellas Garcia, Cemre Zor, Daniil I Nikitichev, Janaina Mourao-Miranda, Neil Oxtoby

O2 (Purdue150) ID_32 “Cortical and Subcortical Contributions to Predicting Intelligence using 3D ConvNets” Yukai Zou, Ikbeom Jang, Timothy Reese, Jinxia Yao, Wenbin Zhu, Joseph Rispoli

O3 (SCAN) ID_7 “Surface-based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019” Michael Rebsamen, Christian Rummel, Ines Mürner-Lavanchy, Mauricio Reyes, Roland Wiest, Richard McKinley

O4 (BIGS2) ID_31 “Adolescent Fluid Intelligence Prediction from Brain Volume and Cortical Curvatures Using XGBoost” Tengfei Li, Xifeng Wang, Tianyou Luo, Yue Yang, Bingxin Zhao, Liuqing Yang, Ziliang Zhu, Hongtu Zhu 13:40-14:30 Keynote Speach 1: Imaging the Developing Brain - an Overview of the Developing Human Connectome Project (DHCP) Daniel Rueckert

153 154 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS OCTOBER 13 SATELLITE EVENTS

Adolescent Brain Cognitive Development Neurocognitive Prediction Challenge (Cont.) P9 (CUMED): 14:30-15:10 Coffee Break & Poster Session ID_19 “Predicting Fluid Intelligence from MR images with Encoder-decoder P1 (Berlin brain decoders) Regularization” ID_14 “Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Lihao Liu, Lequan Yu, Shujun Wang, Pheng-Ann Heng Approach” Shikhar Srivastava, Fabian Eitel, Kerstin Ritter P10 (Iowa Computational Psychiatry): ID_23 “Ensemble Modeling of Neurocognitive Performance Using MRI-derived P2 (UEF-MNI) Brain Structure Volumes” ID_12 “Predicting intelligence based on Cortical WM/GM Contrast, Cortical Leo Brueggeman, Ethan Bahl, Brady Hoskins, Hans Johnson, James Kent, Tanner Thickness and Volumetry” Koomar, Douglas Langbehn, Jacob Michaelson, Tien Tong, Jatin Vaidya, Yongchao Juan Miguel Valverde, Vandad Imani, Jussi Tohka, John Lewis Huang, Charles Johnson, Alexander Powers

P3 (UCSBVRL): P11 (AFINE Team): ID_4 “Predicting Fluid Intelligence of Children using T1-weighted MR Images and ID_27 “Sex differences in Predicting Fluid Intelligence of Adolescent Brain from a StackNet” T1-Weighted MRIs” Po-Yu Kao, Angela Zhang, Michael Goebel, Jefferson Chen,B.S. Manjunath Sara Ranjbar, Kyle Singleton, Lee Curtin, Susan C Massey, Andrea Hawkins-Daarud, Pamela Jackson, Kristin Swanson P4 (UM 247): 15:10-16:10 Oral Session 2 ID_6 “Deep Learning vs. Classical Machine Learning: A Comparison of Methods O5 (hellomri): for Fluid Intelligence Prediction” ID_28 “Ensemble of 3D CNN regressors with Data Fusion for Fluid Intelligence Luke Guerdan, Peng Sun, Yi Shang, Connor Rowland, Logan Harrison, Zhicheng Tang, Prediction” & Nickolas Wergeles ID_29 “Ensemble of 3D CNN Classifiers with Data Fusion for Fluid Intelligence Prediction P5 (teamJJEAN): Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, ID_25 “Predicting Fluid Intelligence Using Anatomical Measures within Evgeny Burnaev, Vyacheslav Yarkin, Maxim Sharaev Functionally Defined Brain Networks” Jeffrey Chiang,Nicco Reggente, John Dell’Italia, Zhong Sheng Zheng, Evan Lutkenhoff O6 (UR_Connectomics): ID_13 “Predict Fluid Intelligence of Adolescent Using Ensemble Learning” P6 (MLPsych): Xuelin Wang, Huijing Ren ID_17 “Machine Learning Prediction Of Fluid Intelligence Using MRI Data” Yanli Zhang-James O7 (BrainHackWAW): ID_16 “Predicting Fluid Intelligence from T1-weighted MRI using Random Forest P7 (UCI CBCL): Regressor” ID_2 “A Combined Deep Learning-Gradient Boosting Machine Framework for Hanna Nowicka, Agata Wlaszczyk, Agnieszka Kaminska, Mikolaj A Pawlak, Jakub Fluid Intelligence Prediction” Dabrowski, Agnieszka Pietraszek Yeeleng Vang, Yingxin Cao, Xiaohui Xie

P8 (BorregosTec): ID_11 “Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI” José Tamez-Peña, Jorge A Orozco, Patricia Sosa, Alejandro Valdes, Fahimeh Nezhadmoghadam

155 156 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 13 SATELLITE EVENTS Shenzhen13 OCTOBER SATELLITE EVENTS Adolescent Brain Cognitive Development Neurocognitive Prediction Challenge (Cont.) O8 (AI-Med): A Cultural City ID_9 “Gradient Boosting for the Prediction of Fluid Intelligence from T1-Weighed Magnetic Resonance Images” & ID_8 “A Simple Predictor of Fluid Intelligence from T1-Weighed Magnetic Resonance Images” & ID_18 “An Auto-ML Approach for the Prediction of Fluid Intelligence from MRI- Derived Features” & ID_10 “Prediction of Fluid Intelligence From T1-Weighted Magnetic Resonance Images” Sebastian Pölsterl, Benjamin Gutierrez Becker, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger 16:10-16:30 NVIDIA Talk, Awards, and Closing

The local ancient culture is dominated by Guangfu culture and Hakka culture. How- ever, in this new immigrant city, the influx of different cultures and ideas from across the whole country and all over the world has caused the extremely diversified cul- ture type in modern Shenzhen. Dapeng Ancient Town, Shenzhen Longgang Hakka House Museum, Dafen Oil Painting Village, Shenzhen Concert Hall, Happy Harbour (OCT Bay), etc., highlight the charm of vibrant culture of Shenzhen.

157 158 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

Tutorial Boosting Large Multidimensional Bioimage 08:00-12:00 El Chino 5 Workshop OMIA6 OMIA6 - 6th Ophthalmic Medical Image 08:00-18:00 Madrid 6 Visualization and Analysis: Vaa3D and Analysis Workshop Applications Challenge AGE MICCAI Angle Closure Glaucoma Evaluation 14:00-18:00 Madrid 6 Challenge Tutorial AirLab AirLab: Autograd Image Registration 12:30-16:30 El Chino 6 (In combination with OMIA6) Laboratory Workshop AIRT Artificial Intelligence in Radiation Therapy 08:15-12:00 El Chino 6 Tutorial Learn2Reg Learn2reg: Deep Learning for Medical Image 09:00-17:30 El Chino 1 Registration Workshop iMIMIC iMIMIC – Interpretability of Machine 12:30-16:30 Madrid 2 Intelligence in Medical Image Computing Tutorial Bayesian Deep Learning 12:30-16:30 Espana II Workshop MFCA Mathematical Foundations of Computational 08:00-17:00 El Chino 2 Tutorial Weakly Supervised CNN Segmentation: 08:00-12:00 Madrid 2 Anatomy (MFCA’19) Models and Optimization Workshop UNSURE UNcertainty for Safe Utilization of machine 12:30-16:30 Madrid 5 Workshop ML-CDS Ninth Workshop on Multimodal Learning for 09:00-12:30 El Chino 3 leaRning in mEdical imaging Clinical Decision Support (ML-CDS’19) Workshop HAL-MICCAI Hardware Aware Learning for Medical 08:00-12:00 Huading: Workshop CSI Computational Methods and Clinical 08:00-16:30 Coriander: Image Computing and Computer Assisted Winston Applications for Spine Imaging Basil Intervention Churchil Workshop MSKI 7th WORKSHOP ON Computational Methods 12:30-16:30 Madrid 7 Workshop PIPPI MICCAI Workshop on Perinatal Imaging, 12:30-16:30 Huading: & Clinical Applications in Musculoskeletal Placental and Preterm Image analysis (PIPPI Winston Imaging – MSKI 2019 2019) Churchil Challenge SpinEva2019 MICCAI 2019 Challenge on accurate 12:30-16:30 Madrid 7 Workshop MBIA Multimodal Brain Image Analysis 12:30-16:30 El Chino 5 automated spinal curvature estimation (In combination with MSKI) Workshop CLIP 8th MICCAI Workshop on Clinical Image- 09:30-18:00 Pipette: based Procedures (CLIP 2019): Towards Latour Workshop MLCN Machine Learning in Clinical Neuroimaging: 08:00-14:00 Madrid 7 Holistic Patient Models for Personalised Entering the Era of Big Data Via Transfer Healthcare Learning And Data Harmonization Workshop MIL Medical Image Learning with Less Labels 08:00-12:00 Madrid 5 Workshop GLMI 1st Workshop on Graph Learning in Medical 08:20-12:00 Madrid 8 and Imperfect Data Imaging (GLMI 2019) Challenge 08:00-10:00 Barcelona Workshop MLMIR Machine Learning for Medical Image 08:00-17:00 El Chino 4 DigestPath Digestive-System Pathological Detection Reconstruction 2019 and Segmentation Challenge (Grand Pathology) Workshop BrainLes Brain-lesion Workshop 08:00-18:00 Madrid 3 Challenge Gleason2019 MICCAI Automatic Prostate Gleason Grading 10:30-12:30 Barcelona Challenge BraTS’19 MICCAI Multimodal Brain Tumor 08:00-18:00 Madrid 3 Challenge 2019 (Grand Pathology) Segmentation (BraTS) 2019 Benchmark: “Survival Prediction” Challenge PAIP2019 PAIP2019: Liver Cancer Segmentation (Grand 14:00-16:00 Barcelona (In combination with BrainLes) Challenge Pathology) Challenge CPM- Computational Precision Medicine 08:00-18:00 Madrid 3 RadPath Challenge on Brain Tumor Classification 2019 (In combination with BrainLes) Workshop CDMRI CDMRI’19 - MICCAI 2019 International 08:15-18:00 Pipette: Workshop on Computational Diffusion MRI Napoleon Challenge MUDI19 MUlti-DImensional Imaging (MUDI) 08:15-18:00 Pippete: Challenge 2019 Napoleon (In combination with CDMRI)

159 160 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

TUTORIAL TUTORIAL: AirLab NAME: Boosting Large Multidimensional Bioimage Visualization and Analysis: NAME: AirLab: Autograd Image Registration Laboratory Vaa3D and Applications DATE/TIME/VENUE: October 17 12:30-16:30 El Chino 6 DATE/TIME/VENUE: October 17 08:00-12:00 El Chino 5 ORGANIZERS: Robin Sandkuehler (Department of Biomedical Engineering, University of Basel); ORGANIZERS: Zhi Zhou (Allen Institute for Brain Science); Yimin Wang (Shanghai University); Philippe C. Cattin (University of Basel); Christoph Jud (University of Basel) Lijuan Liu (Southeast University)

12:30-14:00 Introduction to Image Registration and AirLab 08:00-09:00 Introduction (Vaa3D framework, virtual finger, TeraFly, TeraVR) 14:00-15:00 Coffee Break (Setup AirLab software requirements) 09:00-09:30 Automatic Neuron Reconstruction 15:00-16:00 Hello World with AirLab 09:30-10:00 Coffee Break 10:00-10:40 Overview of the Vaa3D Plugins: Mechanism and Commonly-Used Plugins 10:40-11:40 Demo Session: Common Bioimage Processing and Analysis Protocols, TeraFly+neuron Tracing, TeraVR 11:40-12:00 Q&A

161 162 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

TUTORIAL: Learn2Reg TUTORIAL NAME: Learn2reg: Deep Learning for Medical Image Registration NAME: Bayesian Deep Learning DATE/TIME/VENUE: October 17 09:00-17:30 El Chino 1 DATE/TIME/VENUE: October 17 12:30-16:30 Espana II ORGANIZERS: Yipeng Hu (University College London); Adrian V Dalca (MIT); Mattias Heinrich ORGANIZERS: Hien V Nguyen (University of Houston); Vishal Patel (Johns Hopkins University); (University of Luebeck); Tom Vercauteren (King’s College London) S. Kevin Zhou (ICT); Dan Nguyen (UT Southwestern)

09:00-09:30 Introduction to Medical Image Registration 12:30-12:35 Opening remarks Tom Vercauteren 12:35-13:30 Background on Variational Inference 09:30-10:00 Coffee Break Kullback-Leibler Divergence and Evidence Lower Bound (ELBO) 10:00-11:00 Unsupervised and Self-supervised Methods Adrian Dalca Mean Field Variational Inference Hands-on session: Unsupervised Registration Based Tutorial Monte Carlo Methods for Variational Inference 11:00-12:00 Supervised and Weakly-supervised Methods Modern Approximate Variational Inference Yipeng Hu 13:30-14:30 Bayesian Deep Learning Hands-on session: Label-Supervised Based Tutorial Uncertainty in Bayesian Deep Networks 12:00-14:00 Lunch Advanced Stochastic Regularization Methods 14:00-14:30 Opportunities and Challenges for Data Fusion Julia Schnabel Bayesian Recurrent Neural Networks 14:30-15:00 Unsupervised Deep Learning Image Registration: Beyond the Cranial Vault 14:30-14:45 Coffee Break Bob de Vos 14:45-15:15 Practice and hands-on sessions/demos 15:00-16:00 Discrete Deep Learning Registration Develop Python Codes for Bayesian Deep Networks Mattias Heinrich Hands-on session: Discrete Deep Learning Registration Train Bayesian Deep Networks for Classification and Segmentation Tasks 16:00-16:30 Coffee Break Visualization and Quantification of Uncertainty Map for Classification and Segmentation 16:30-17:30 Panel Discussion and Opportunity of Additional Q&As for the Hands-Ons 15:15-15:30 Closing Remarks

163 164 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

TUTORIAL WORKSHOP: ML-CDS NAME: Weakly Supervised CNN Segmentation: Models and Optimization NAME: Ninth Workshop on Multimodal Learning for Clinical Decision Support (ML-CDS’19) DATE/TIME/VENUE: October 17 08:00-12:00 Madrid 2 DATE/TIME/VENUE: October 17 09:00-12:30 El Chino 3 ORGANIZERS: Ismail Ben Ayed (ETS Montreal); Christian Desrosiers (ETS, Canada); Jose Dolz (ETS Montreal) ORGANIZERS: Tanveer Syeda-Mahmood (IBM Research); Anant Madabushi (Case Western University); Yaniv Gur (IBM Research); Hayit Greenspan (Tel Aviv University)

08:00-09:15 Part 1: Semi-Supervised Deep Learning (75 min) Models: CRFs; Laplacian; High-Order Losses; Adversarial Losses 09:00-09:10 Welcome 09:10-10:00 Invited Speaker Optimization Aspects: Direct Losses, Proposal-Based Methods, Alternating- Murray Reicher Direction Methods 10:00-10:30 Oral 1: Towards Automatic Diagnosis from Multi-modal Medical Data 09:15-09:30 Break Jiang Tian, Cheng Zhong, Zhongchao Shi, Feiyu Xu 09:30-10:15 Part 2. Weakly Supervised Learning (45 min) 10:30-11:00 Oral 2: Deep Learning based Multi-Modal Registration for Retinal Imaging Constrained CNNs, Multiple Instance Learning Mustafa Arikan, Amir Sadeghipour, Bianca Gerendas, Reinhard Told, Ursula Schmidt- Erfurth Optimization Aspects: Lagrangian Optimization, Penalty-Based Methods 11:00-11:30 Coffee Break 10:15-11:00 Part 3. Domain Adaptation (45 min) Adversarial losses 11:30-12:00 Oral 3: Automated Enriched Medical Concept Generation for Chest X-ray Images Aydan Gasimova Proposal Methods; Constrained Methods 12:00-12:30 Panel with Experts from Academia, Clinicians and Industry 11:00-11:15 Break 11:15-12:00 Part 4: Case-study (45 min) Hands-on Implementation in Pytorch Of Constrained CNNs

165 166 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP: CSI CHALLENGE: MICCAI 2019 Challenge on accurate automated spinal curvature estimation 11:45-12:00 AASCE Oral 5: Automated Estimation of the Spinal Curvature via Spine Centerline NAME: Computational Methods and Clinical Applications for Spine Imaging Extraction with Ensembles of Cascaded Neural Networks Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, DATE/TIME/VENUE: October 17 08:00-16:30 Coriander: Basil Gerda Bortsova, Wiro Niessen, Marleen de Bruijne ORGANIZERS: Yunliang Cai (Worcester Polytechnic Institute); Liansheng Wang (Xiamen 12:00-13:00 Lunch University); Michel Audette (Old Dominion University); Shuo Li (University of 13:00-13:15 AASCE Oral 6: Heatmap Generation and Points Matching in Cobb angle Western Ontario); Guoyan Zheng (Shanghai Jiao Tong University) estimation Task Yishuo Zhang, Junlin Yang 08:00-08:30 Welcome 13:15-13:30 AASCE Oral 7: Accurate Automated Spinal Curvature Estimation 08:30-09:00 Keynote: Clinical Challenge and Opportunity of Deep Learning Technique for Shuxin Wang, Shaohui Huang, Liansheng Wang Spinal Image Analysis: A Surgeon’s Perspective 13:30-14:00 AASCE Summary; Award Announcement Shisheng He 14:00-15:00 Poster session; Coffee 09:00-09:30 Coffee Break 15:00 End 09:30-09:45 Regular Oral 1: Detection of vertebral fractures in CT using 3D Convolutional Neural Networks Joeri Nicolaes 09:45-10:00 Regular Oral 2: Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline Geoff Klein, Michael Hardisty, Anne Martel, Cari Whyne, Arjun Sahgal 10:00-10:15 Regular Oral 3: Conditioned Variational Auto-Encoder for Detecting Osteoporotic Vertebral Fractures Malek El Husseini, Anjany Sekuboyina, Amirhossein Bayat, Bjoern Menze, Maximilian Loeffler, Jan Kirschke 10:15-10:30 Regular Oral 4: Vertebral Labelling in Radiographs: Learning a Coordinate Corrector for Enforcing Spine Shape Amirhossein Bayat, Anjany Sekuboyina, Felix Hofmann, Malek El Husseini, Jan Kirschke, Bjoern Menze 10:30-10:45 Regular Oral 5: 3D-cGAN: Semantic Segmentation of Multiple Lumbosacral Structures on Thin-Layer CT Guoxin Fan, Huaqing Liu, Chaobo Feng, Dongdong Wang, Bangde Yin, Yufeng Li, Shisheng He, Limin Rong 10:45-11:00 AASCE Oral 1: Accurate Automated Keypoint Detections for Spinal Curvature Estimation Kailin Chen, Cheng Peng, Yi Li, Dalong Cheng, Si Wei 11:00-11:15 AASCE Oral 2: Seg4Reg Networks for Automated Spinal Curvature Estimation Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang, Yefeng Zheng 11:15-11:30 AASCE Oral 3: End-to-End Convolutional Neural Network for Cobb Angle Prediction from Spine Radiographs Upasana Upadhyay Bharadwaj 11:30-11:45 AASCE Oral 4: Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression Bidur Khanal, Lavsen Dahal, Prashant Adhikari, Bishesh Khanal

167 168 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP: MSKI WORKSHOP: MLCN NAME: 7th WORKSHOP ON Computational Methods & Clinical Applications in NAME: Machine Learning in Clinical Neuroimaging: Entering the era of big data via Musculoskeletal Imaging – MSKI 2019 transfer learning and data harmonization DATE/TIME/VENUE: October 17 12:30-16:30 Madrid 7 DATE/TIME/VENUE: October 17 08:00-14:00 hrs Meeting: Madrid 7 Poster: Espana II ORGANIZERS: Guoyan Zheng (Shanghai Jiao Tong University) ORGANIZERS: Seyed Mostafa Kia (Donders Institute); Kerstin Ritter (Bernstein Center for Computational Neuroscience); Mohamad Habes (University of Pennsylvania); 12:30-12:40 Opening remarks Hongzhi Wang (IBM Almaden Research Center); Tommy Löfstedt (Umeå Moderator: Guoyan Zheng (Shanghai Jiao Tong University, China) University); Christos Davatzikos (University of Pennsylvania); Andre Marquand 12:40-14:00 Session 1: Skull and Limbs (Radboud University); Emma C Robinson (Imperial College); Edouard Duchesnay Moderator: Jose M. Pozo (University of Leeds, UK) (Paris-Saclay University) 12:40-13:00 Musculoskeletal Modeling from a Metal Artifact-Contaminated CT for Post- Operative Assessment of Total Hip Arthroplasty 08:00-08:10 Opening Talk Yoshito Otake, Mitsuki Sakamoto, Yuta Hiasa, Masaki Takao, Yuki Suzuki, Nobuhiko Sugano, Yoshinobu Sato 08:10-09:00 Keynote 1: “Deep Learning of MRI Brain Images for Early Prediction of Alzheimer’s Disease Dementia and Cognitive Decline” 13:00-13:20 Segmentation of Defective Skulls from CT Data for Tissue Modelling Yong Fan Oldřich Kodym, Michal Španěl, Adam Herout 09:00-09:15 Oral Presentation 1: Deep Transfer Learning For Whole-Brain FMRI Analyses 13:20-13:40 Endosteal Segmentation in Computed Tomography of the Proximal Femur using Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek Bone and Joint Enhancement Filtering Bryce Besler, Andrew Michalski, Michael Kuczynski, Nils Forkert, Steven Boyd 09:15-09:30 Oral Presentation 2: Knowledge Distillation for Semi-Supervised Domain Adaptation 13:40-14:00 Late Fusion of Deep Learning and Hand-Crafted Features for Achilles Tendon Mauricio Orbes-Arteaga, Jorge Cardoso, Lauge Sørensen, Christian Igel, Sebastien Healing Monitoring Ourselin, Marc Modat, Mads Nielsen, Akshay Pai Norbert Kapinski, Jędrzej Nowosielski, Maciej Marchwiany, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz Borucki, Tomasz Trzciński, Krzysztof Nowinski 09:30-10:00 Coffee Break 14:00-14:30 Coffee Break 10:00-10:50 Keynote 2 Pamela Douglas 14:30-15:10 Invited Talk: Musculoskeletal Image Analysis using Shape and Appearance Models 10:50-11:05 Oral Presentation 3: Relevance Vector Machines for Harmonization of MRI Brain Speaker: Paul A. Bromiley (University of Manchester, UK) Volumes Using Image Descriptors Moderator: Weidong Cai (University of Sydney, Australia) Maria Ines Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana M. Sima 15:10-16:10 Session 2: Spine 11:05-11:20 Oral Presentation 4: Data Pooling and Sampling of Heterogeneous Image Data Moderator: Jianhua Yao (National Institute of Health, USA) for White Matter Hyperintensity Segmentation Annika Hänsch, Bastian Cheng, Benedikt Frey, Carola Mayer, Marvin Petersen, Iris 15:10-15:30 Vertebrae Detection and Localization in CT with Two-Stage CNNs and Dense Lettow, Farhad Yazdan Shenas, Götz Thomalla, Jan Klein, Horst K. Hahn Annotations James McCouat, Ben Glocker 11:20-11:35 Oral Presentation 5: A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio- Temporal fMRI Data: An ABIDE Autism Classification Study 15:30-15:50 Computer-aided Opportunistic Identification of Vertebral Fragility Fractures in Ahmed El-Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Computed Tomography Images: A Multi-site Study Rajat Mani Thomas Paul A. Bromiley, Joes Staal, Eleni P. Kariki, Emily Russell, Daniel Chappell, Timothy F. Cootes 15:50-16:10 Predicting Spine Geometry and Scoliosis from DXA Scan Amir Jamaludin, Timor Kadir, Emma Clark, Andrew Zisserman 16:10-16:30 Closing Remarks Moderator: Guoyan Zheng (Shanghai Jiao Tong University, China) 169 170 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP: GLMI Machine Learning in Clinical Neuroimaging: Entering the era of big data via transfer learning and data harmonization (MLCN) (Cont.) NAME: 1st Workshop on Graph Learning in Medical Imaging (GLMI 2019) 11:35-11:50 Oral Presentation 6: Automated Quantification of Enlarged Perivascular Spaces DATE/TIME/VENUE: October 17 08:20-12:00 Meeting: Madrid 8 in Clinical Brain MRI across Sites Poster: Espana I Florian Dubost, Max Dünnwald, Denver Huff,Vincent Scheumann, Frank Schreiber, ORGANIZERS: Daoqiang Zhang (Nanjing University of Aeronautics and Astronautics, China); Meike Vernooij, Wiro Niessen, Martin Skalej, Stefanie Schreiber, Stef-fen Oeltze-Jafra, Luping Zhou (University of Sydney); Biao Jie (University of North Carolina); Marleen de Bruijne Mingxia Liu (The University of North Carolina at Chapel Hill) 11:50-12:00 Closing Remarks Hongzhi Wang 08:20-08:30 Open Remarks 12:00-13:00 Lunch 08:30-09:30 Plenary Talk 13:00-14:00 Poster Session 09:30-09:40 Coffee Break 09:40-11:40 Oral Session 09:40-10:00 Graph Hyperalignment for Multi-Subject fMRI Functional Alignment 10:00-10:20 Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks 10;20-10:40 Linking Convolutional Neural Networks with Graph Convolutional Networks: Application In Pulmonary Artery-Vein Separation 10:40-11:00 Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivityusing Functional MRI 11:00-11:20 Weakly- and Semi-Supervised Graph CNN for identifying Basal Cell Carcinoma on Pathological images 11:20-11:40 Geometric Brain Surface Network For Brain Cortical Parcellation 09:30-12:00 Poster Session Adaptive Thresholding of Functional Connectivity Networks for fMRI-based Brain Disease Analysis

Graph-kernel-based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification

Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction

Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients

Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography

Multi-Scale Graph Convolutional Network for Mild Cognitive Impairment Detection

DeepBundle: Fiber Bundle Parcellation With Graph CNNs 171 172 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP: MLMIR 1st Workshop on Graph Learning in Medical Imaging (GLMI 2019) (Cont.) NAME: Machine Learning for Medical Image Reconstruction 09:30-12:00 Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach DATE/TIME/VENUE: October 17 08:00-17:00 El Chino 4

Movie-watching fMRI Reveals Inter-subject Synchrony Alteration in Functional ORGANIZERS: Daniel Rueckert (Imperial College London); Florian Knoll (New York University); Brain Activity in ADHD Jong Chul Ye (Department of Bio and Brain Engineering, KAIST, Korea); Andreas K Maier (Pattern Recognition Lab, FAU Erlangen-Nuremberg) Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images using 3D Mask R-CNN Keynote and Oral Presentations O-MLMIR-1 Keynote: Deep Fast MR Imaging: when Compressed Sensing meets Deep Neural Discriminative-Region-Aware Residual Network for Adolescent Brain Structure Network and Cognitive Development Analysis Dong Liang (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences) Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram O-MLMIR-2 Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Balamurali Murugesan (Indian Institute of Technology, Madras) Learning O-MLMIR-3 Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants Tong Zhang (King’s College London) with Risk of Autism O-MLMIR-4 APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network CNS: CycleGAN-assisted Neonatal Segmentation Model for Cross-Datasets Chaoping Zhang (Erasmus MC - University Medical Center Rotterdam) 11:40-11:50 Closing Remarks (Best paper(s) will be announced) O-MLMIR-5 Accelerated MRI Reconstruction with Dual-domain Generative Adversarial Network Guanhua Wang (Tsinghua University) O-MLMIR-6 Deep learning for Low-Field to High-Field MR Image Quality Transfer with Probabilistic Decimation Simulator Hongxiang Lin (University College London) O-MLMIR-7 Joint Multi-Anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions Patricia M Johnson (New York University) O-MLMIR-8 Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval Akira Kudo (Fujifilm corporation) O-MLMIR-9 Flexible Conditional Image Generation of Missing Data with Learned Mental Maps Benjamin Hou (Imperial College London) O-MLMIR-10 Stain Style Transfer using Transitive Adversarial Networks Shaojin Cai (Fuzhou University) O-MLMIR-11 Task-GAN: Improving Generative Adversarial Network for Image Reconstruction Jiahong Ouyang (Stanford University) O-MLMIR-12 TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis Chengjia Wang (University of Edinburgh)

173 174 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS O-MLMIR-27 PredictUS: A Method to Extend the Resolution-Precision Trade-off in Quantitative Machine Learning for Medical Image Reconstruction (Cont.) Ultrasound Image Reconstruction Keynote and Oral Presentations Farah Deeba (UBC) O-MLMIR-13 Modeling and Analysis Brain Development with Discriminative Dictionary Learning Mingli Zhang (Montreal Neurological Institute, Mcgill University) O-MLMIR-14 Keynote: Regularizing Inverse Problems with Deep Neural Networks Markus Haltmaier (University of Innsbruck) O-MLMIR-15 Spatiotemporal PET Reconstruction Using ML-EM with Learned Diffeomorphic Deformation Camille Pouchol (KTH) O-MLMIR-16 Fast Dynamic Perfusion and Angiography Reconstruction using an End-To-End 3D Convolutional Neural Network Sahar Yousefi (Leiden University Medical Center) O-MLMIR-17 Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Yixing Huang (Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen- Nürnberg) O-MLMIR-18 Deep Learning Based Approach to Quanti cation of PET Tracer Uptake in Small Tumors Laura Dal Toso (King’s College London) O-MLMIR-19 Measuring CT Reconstruction Quality with Deep Convolutional Neural Networks Mayank Patwari (Siemens Healthineers) O-MLMIR-20 Deep Learning based Metal Inpainting in the Projection Domain: Initial Results Tristan Gottschalk (Friedrich-Alexander-University Erlangen-Nürnberg) O-MLMIR-21 Keynote: Learning Model-Based Image Reconstruction for X-Ray CT Yong Long (Shanghai Jiao Tong University) O-MLMIR-22 Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer Sungjun Lim (KAIST) O-MLMIR-23 Gamma Source Location Learning from Synthetic Multi-Pinhole Collimator Data Peter A. von Niederhäusern (DBE, University of Basel) O-MLMIR-24 Neural Denoising of Ultra-Low Dose Mammography Michael Green (Tel-Aviv University) O-MLMIR-25 Image Reconstruction in a Manifold of Image Patches: Application to Whole-fetus Ultrasound Imaging’ Alberto Gomez (King’s College London) O-MLMIR-26 Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy Saeed Izadi (Simon Fraser University)

175 176 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP: BrainLes 14:00-15:30 BrainLes Session 3 NAME: Brain-Lesion workshop (BrainLes) Brain Tumor Segmentation (BraTS) Challenge 14:00-14:05 Welcome to the 2nd half of the BrainLes workshop Brain Tumor Classification Using Combined Radiology and Histopathology Spyridon Bakas (University of Pennsylvania) (CPM-RadPath) Challenge 14:05-14:30 Invited Speaker DATE/TIME/VENUE: October 17 08:00-18:00 hrs Meeting: Madrid 3 Pallavi Tiwari (Case Western Reserve University) Poster: Espana I 14:30-14:40 Towards Population-based Histologic Stain Normalization of Glioblastoma ORGANIZERS: Alessandro Crimi (University Hospital Zurich); Spyridon Bakas (U Pennsylvania) Caleb Grenko, et al. 14:40-14:50 Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting 08:00-09:30 BrainLes Session 1 Tissue Outcomes Christian Lucas 08:00-08:05 Introduction to the BrainLes workshop Spyridon Bakas (University of Pennsylvania) 14:50-15:00 Predicting Clinical Outcome of Stroke Patients with Tractographic Feature Po-Yu Kao, et al. 08:05-08:15 Global and Local Multi-Scale Feature Fusion Enhancement for Brain Tumor Segmentation and Pancreas Segmentation 15:00-15:10 Saliency Based Deep Neural Network for Automatic Detection of Gadolinium- Huan Wang, et al. Enhancing Multiple Sclerosis Lesions in Brain MRI Joshua D Durso-Finley, et al. 08:15-08:25 Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans 15:10-15:20 Improved inter-scanner MS Lesion Segmentation by Adversarial Training on Mohammad Hamghalam, et al. Longitudinal Data Mattias Billast, et al. 08:25-08:35 Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation 15:20-15:30 Aneurysm identification in Cerebral Models with Multiview Convolutional Boris Shirokikh, et al. Neural Network Xingce Wang, et al. 08:35-08:45 Skull-stripping of Glioblastoma MRI Scans using 3D Deep Learning Siddhesh Thakur, et al. 15:30-16:30 Coffee Break & Poster Session 08:45-08:55 TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data 16:30-18:00 BrainLes Session 4 (CPM-RadPath Challenge) Augmentation 16:30-16:50 CPM-RadPath Challenge: Overview, Summary Statistics, and Ranking Approach Miguel A.B. Monteiro, et al. Tahsin Kurc (Stony Brook University) 08:55-09:05 Optimization with Soft Dice can Lead to a Volumetric Bias 16:50-17:40 Oral presentations of top-performing CPM-RadPath methods Jeroen Bertels, et al. 17:40-18:00 Final results / Awards / Discussion 09:05-09:30 Invited Speaker Yarin Gal (Oxford University) 09:30-10:00 Coffee break 10:00-11:30 BrainLes Session 2 (BraTS Challenge) 10:00-10:20 BraTS Challenge: Overview, Summary Statistics, and Ranking Approach Spyridon Bakas (University of Pennsylvania) 10:20-10:35 Investigating the Uncertainty in Segmentations (Shedding light to BraTS task 3) Raghav Mehta (McGill University) 10:35-11:15 Oral presentations of top-performing BraTS methods 11:15-11:30 Final results / Awards / Discussion 11:30-14:00 Lunch break & Poster session

177 178 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP/ CDMRI/MUDI CHALLENGE: Board CDMRI-2 Free-Water Correction in Diffusion MRI: A Reliable and Robust Learning Approach NAME: CDMRI’19 - MICCAI 2019 International Workshop on Computational Leon Weninger et al Diffusion MRI MUlti-DImensional Imaging (MUDI) Challenge 2019 Board CDMRI-3 Alternative Diffusion Anisotropy Metric from Reduced MRI Acquisitions DATE/TIME/VENUE: October 17 08:15-18:00 Meeting: Pippete: Napoleon Leon Weninger et al Poster: Espana I Board CDMRI-3 Alternative Diffusion Anisotropy Metric from Reduced MRI Acquisitions ORGANIZERS: Elisenda Bonet-Carne (CMIC, UCL); Jana Hutter (King’s College London); Marco Santiago Aja-Fernandez et al Palombo (UCL); Marco Pizzolato (École Polytechnique Fédérale de Lausanne); Farshid Sepehrband (University of Southern California); Fan Zhang (Harvard Board CDMRI-4 Convolutional Neural Networks for Fiber Orientation Distribution Enhancement Medical School) to Improve Single-Shell Diffusion MRI Tractograph Oeslle Lucena et al 08:00-08:20 Registration 08:20-08:30 Welcome from the CDMRI’19 and MUDI Challenge Organisers Board CDMRI-5 A Framework to Construct a Longitudinal DW-MRI Infant Atlas based on Mixed Effects Modeling of dODF Coeffcients 08:30-09:00 Keynote #1: Current Challenges and Future in Diffusion MRI Heejong Kim at al Bennett Landman 09:00-09:30 Oral session 1 Board CDMRI-6 Optimized Response Function Estimation for Spherical Deconvolution 09:00-09:15 Alternative Diffusion Anisotropy Metric from Reduced MRI Acquisitions Tom Dela Haije et al Santiago Aja-Fernandez et al Board CDMRI-7 q-Space Novelty Detection with Variational Autoencoders 09:15-09:30 DWI Simulation-Assisted Machine Learning Models for Microstructure Aleksei Vasilev et al Estimation Jonathan Rafael-Patino et al Board CDMRI-8 DWI Simulation-assisted Machine Learning Models for Microstructure 09:30-10:00 Coffee Break Estimation Jonathan Rafael-Patino et al 10:00-10:30 Keynote #2: Processing with Directions: On Quantifying Local Geometric Structures of White Matter Board CDMRI-9 Convolutional Neural Network on DTI data for Sub-cortical Brain Structure Jian Cheng Segmentation 10:30-11:30 Oral session 2 Gustavo Retuci Pinheiro et al

10:30-10:50 A Framework to Construct a Longitudinal DW-MRI Infant Atlas based on Mixed Board CDMRI-10 Investigation of Changes in Anomalous Diffusion Parameters in a Mouse Model Effects Modeling of dODF Coefficients of Brain Tumour Heejong Kim et al Qianqian Yang et al 10:50-11:10 Optimized Response Function Estimation for Spherical Deconvolution Tom Dela Haije et al Board CDMRI-11 Optimal Fiber Diffusion Model Restoration Clint Greene et al 11:10-11:30 Optimal Fiber Diffusion Model Restoration Clint Greene et al Board CDMRI-12 A Network-Based Analysis of the Preterm Adolescent Brain using PCA and Graph 11:30-12:30 Poster Presentations/Competition Theory Hassna Irzan et al 12:30-14:00 Lunch + Poster Viewing Posters Board CDMRI-13 Diffusion MRI Fiber Tractography by Flow Field Formation with Extended Board CDMRI-1 Spatial Sparse Estimation of Fiber Orientation Distribution Using Deep Physarum Solver: A Pilot Study with 2D Phantoms Alternating Directions Method of Multipliers Network Yoshitaka Masutani Ridho Akbar et al

179 180 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP/ OMIA6/AGE CDMRI’19 - MICCAI 2019 International Workshop on Computational Diffusion MRI (Cont.) CHALLENGE: Board CDMRI-14 Diffusion Anisotropy Identification by Short Diffusion-Diffusion Correlation NAME: OMIA6 - 6th Ophthalmic Medical Image Analysis Spectroscopy MICCAI Angle Closure Glaucoma Evaluation Challenge Fangrong Zong et al DATE/TIME/VENUE: October 17 08:00-18:00 Meeting: Madrid 6 14:00-14:30 Keynote #3: Microstructure Imaging: Computational Models and Machine Poster: Espana I Learning ORGANIZERS: Huazhu Fu (Inception Institute of Artificial Intelligence); Mona K. Garvin Daniel Alexander (University of Iowa); Tom MacGillivray (University of Edinburgh); Yanwu Xu 14:30-15:00 Oral Session 3 (Baidu Inc.); Yalin Zheng (University of Liverpool) 14:30-14:45 q-Space Novelty Detection with Variational Autoencoders Aleksei Vasilev et al 07:30 Registration and Posters Set Up 14:45-15:00 Convolutional Neural Networks for Fiber Orientation Distribution Enhancement 08:00-08:10 Opening Remarks to Improve Single-Shell Diffusion MRI Tractography 08:10-08:40 Oral Session 1: Fundus Image (15’ per paper including questions) Oeslle Lucena et al 08:10-08:25 OMIA-O-1: Semi-supervised Adversarial Learning for Diabetic Retinopathy 15:00-15:30 Keynote #4” Connectome 2.0: Cutting-edge Hardware Brings New Opportunities Screening for Computational Diffusion MRI Sijie Liu, Jingmin Xin, Jiayi Wu, Peiwen Shi Anastasía Yendiki 08:25-08:40 OMIA-O-2: Aggressive Posterior Retinopathy of Prematurity Automated 15:30-16:30 Coffee Break Diagnosis via a Deep Convolutional Network 16:30-17:00 Keynote #5: Bringing diffusion-relaxometry correlation methods from porous Rugang Zhang, Jinfeng Zhao, Guozhen Chen, Tianfu Wang, Guoming Zhang, Baiying media NMR to clinical MRI Lei Daniel Topgaard 08:40-09:30 Keynote: Glaucoma Imaging - from Mechanism to Diagnosis 17:00-18:15 MUDI – THE CHALLENGE Xiulan Zhang 17:00-17:10 Introduction 09:30-10:00 Coffee Break/Poster Session 17:10-17:25 Teams’ Presentations 10:00-10:30 Oral session 2: OCT Classification 17:25-17:45 Challenge Results 10:00-10:15 OMIA-O-3: Network Pruning for OCT Image Classification 17:45-18:00 Discussion Bing Yang, Yi Zhang, Jun Cheng, Jin Zhang, Lei Mou, Huaying Hao, Yitian Zhao, Jiang Liu 10:15-10:30 OMIA-O-4: 3D-CNN for Glaucoma Detection using Optical Coherence Tomography Yasmeen George, Bhavna Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel Schuman, Rahil Garnavi 10:30-11:30 Oral session 3: OCT Segmentation 10:30-10:45 OMIA-O-5: Guided M-Net for High-resolution Biomedical Image Segmentation with Weak Boundaries Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao, Wan Chen, Jin Yuan, Risa Higashita, Qingyao Wu, Mingkui Tan, Jiang Liu 10:45-11:00 OMIA-O-6: An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans Jos´e Ignacio Orlando, Anna Breger, Hrvoje Bogunovi´c, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth

181 182 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

OMIA6 - 6th Ophthalmic Medical Image Analysis (Cont.) #08: Deriving Visual Cues from Deep Learning to Achieve Subpixel Cell 11:00-11:15 OMIA-O-7: Encoder-Decoder Attention Network for Lesion Segmentation of Segmentation in Adaptive Optics Retinal Images Diabetic Retinopathy Jianfei Liu, Christine Shen, Tao Liu, Nancy Aguilera, Johnny Tam Shuanglang Feng, Weifang Zhu, Heming Zhao, Fei Shi, Zuoyong Li, Xinjian Chen #09: Dictionary Learning Informed Deep Neural Network with Application to 11:15-11:30 OMIA-O-8: Deriving Visual Cues from Deep Learning to Achieve Subpixel Cell OCT Images Segmentation in Adaptive Optics Retinal Images Joshua Bridge, Simon Harding, Yitian Zhao, Yalin Zheng Jianfei Liu, Christine Shen, Tao Liu, Nancy Aguilera, Johnny Tam 11:30 Release of the On-site AGE Test Data #10: Structure-aware Noise Reduction Generative Adversarial Network for Optical Coherence Tomography Image 11:30-12:00 OMIA Award Ceremony and Open Discussion Yan Guo, Kang Wang, Suhui Yang, Yue Wang, Peng Gao, Guotong Xie, Chuanfeng Lv, 12:00 Submission Deadline of the On-site AGE Test Results Bin Lv 12:00-14:00 Lunch / Poster Session #11: Region-Based Segmentation of Capillary Density in Optical Coherence OMIA Posters Tomography Angiography #01: Semi-supervised Adversarial Learning for Diabetic Retinopathy Screening Wenxiang Deng, Michelle R. Tamplin, Isabella M. Grumbach, Randy H. Kardon, Mona Sijie Liu, Jingmin Xin, Jiayi Wu, Peiwen Shi K. Garvin

#02: Aggressive Posterior Retinopathy of Prematurity Automated Diagnosis via #12: Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein a Deep Convolutional Network Angiographies Using Multitask Learning Rugang Zhang, Jinfeng Zhao, Guozhen Chen, Tianfu Wang, Guoming Zhang, Baiying Dominik Hofer, Jos´e Ignacio Orlando, Philipp Seeb¨ock, Georgios Mylonas, Felix Lei Goldbach, Amir Sadeghipour, Bianca S. Gerendas, Ursula Schmidt-Erfurth

#03: Network Pruning for OCT Image Classification #13: Shape Decomposition of Foveal Pit Morphology using Scan Geometry Bing Yang, Yi Zhang, Jun Cheng, Jin Zhang, Lei Mou, Huaying Hao, Yitian Zhao, Jiang Corrected OCT Liu Min Chen, James C. Gee, Jessica I. W. Morgan, Geoffrey K. Aguirre

#04: 3D-CNN for Glaucoma Detection using Optical Coherence Tomography #14: U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Yasmeen George, Bhavna Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel Schuman, Coherence Tomography Rahil Garnavi Rhona Asgari, Sebastian Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovi´c #05: Guided M-Net for High-resolution Biomedical Image Segmentation with Weak Boundaries #15: Robust Optic Disc Localization by Large Scale Learning Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao, Wan Shilu Jiang, Zhiyuan Chen, Annan Li, Yunhong Wang Chen, Jin Yuan, Risa Higashita, Qingyao Wu, Mingkui Tan, Jiang Liu #16: The Channel Attention based Context Encoder Network for Inner Limiting #06: An Amplified-Target Loss Approach For Photoreceptor Layer Segmentation Membrane Detection in Pathological OCT Scans Hao Qiu, Zaiwang Gu, Lei Mou, Xiaoqian Mao, Liyang Fang, Yitian Zhao, Jiang Liu, Jun Jos´e Ignacio Orlando, Anna Breger, Hrvoje Bogunovi´c, Sophie Riedl, Bianca S. Cheng Gerendas, Martin Ehler, Ursula Schmidt-Erfurth #17: Fundus Image based Retinal Vessel Segmentation Utilizing A Fast and #07:Encoder-Decoder Attention Network for Lesion Segmentation of Diabetic Accurate Fully Convolutional Network Retinopathy Junyan Lyu, Pujin Cheng, Xiaoying Tang Shuanglang Feng, Weifang Zhu, Heming Zhao, Fei Shi, Zuoyong Li, Xinjian Chen

183 184 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP: AIRT OMIA6 - 6th Ophthalmic Medical Image Analysis (Cont. NAME: Artificial Intelligence in Radiation Therapy #18: An improved MPB-CNN Segmentation Method for Edema Area and Neurosensory Retinal Detachment in SD-OCT Images DATE/TIME/VENUE: October 17 08:15-12:00 hrs El Chino 6 Jian Fang, Yuhan Zhang, Keren Xie, Songtao Yuan, Qiang Chen ORGANIZERS: Dan Nguyen (UT Southwestern); Lei Xing (Stanford University); Steve Jiang (UT Southwestern Medical Center) #19: Multi-Discriminator Generative Adversarial Networks for improved thin retinal vessel segmentation Gabriel Tjio, Shaohua Li, Xinxing Xu, Daniel Shu Wei Ting, Yong Liu, Rick Siow Mong 08:15-08:20 Opening Remarks Goh 08:20-10:00 Oral Session #1 #20: Fovea Localization in Fundus Photographs by Faster R-CNN with 08:20-08:30 Feasibility of CT-only 3D Dose Prediction for VMAT Prostate Plans Using Deep Physiological Prior Learning Jun Wu, Jiapei Wang, Jie Xu, Yiting Wang, Kaiwei Wang, Zongjiang Shang, Dayong Siri Willems, Wouter Crijns, Edmond Sterpin, Karin Haustermans, Frederik Maes Ding, Xirong Li, Gang Yang, Xuemin Jin, Yanting Wang, Fangfang Dai, Jianping Fan 08:30-08:40 Automatically Tracking and Detecting Significant Nodal Mass Shrinkage During #21: Automated Stage Analysis of Retinopathy of Prematurity Using Joint Head-and-Neck Radiation Treatment Using Image Saliency Segmentation and Multi-Instance Learning Yu-chi Hu, Cynthia Polvorosa, Chiaojung Jillian Tsai, Margie Hunt Guozhen Chen, Jinfeng Zhao, Rugang Zhang, Tianfu Wang, Guoming Zhang, Baiying 08:40-08:50 4D-CT Deformable Image Registration Using an Unsupervised Deep Lei Convolutional Neural Network Yang Lei, Yabo Fu, Joseph Harms, Tonghe Wang, Walter J. Curran, Tian Liu, Kristin #22: Retinopathy Diagnosis using Semi-supervised Multi-channel Generative Higgins, Xiaofeng Yang Adversarial Network 08:50-09:00 Toward Markerless Image-Guided Radiotherapy Using Deep Learning For Yingpeng Xie, Qiwei Wan, Guozhen Chen, Yanwu Xu, Baiying Lei Prostate Cancer Wei Zhao, Bin Han, Yong Yang, Mark Buyyounouski, Steven L Hancock, Hilary Bagshaw, #23: Fundus Image Classification and Retinal Disease Localization with Limited Lei Xing Supervision Qier Meng, Yohei Hashimot, Shin’ichi Satoh 09:00-09:10 A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network 14:00-14:20 AGE Introduction, Motivation and Overview of What Follows Zhiyu Liu, Wenhao Jiang, Kit-Hang Lee, Yat-Long Lo, Yui-Lun NG, Qi Dou, Varut 14:20-15:30 AGE Oral Session I (7’+3’ Q&A per team) Vardhanabhuti, Ka-Wai Kwok 15:30-16:00 Coffee break / Poster Session 09:10-09:20 A Novel Deep Learning Framework for Standardizing the Label of OARs in CT 16:00-17:30 AGE Oral Session II (7’+3’ Q&A per team) Qiming Yang, Hongyang Chao, Dan Nguyen Steve Jiang 17:30-17:50 AGE Evaluation Procedure and Final Results/Winners Announcement 09:20-09:30 Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery 17:50-18:00 AGE Open Discussion Szu-Yeu Hu, Wei-Hung Weng, Shao-Lun Lu, Yueh-Hung Cheng, Furen Xiao, Feng-Ming Hsu, Jen-Tang Lu 09:30-09:40 Voxel-level Radiotherapy Dose Prediction Using Densely Connected Network with Dilated Convolutions Jingjing Zhang, Shuolin Liu, Teng Li, Ronghu Mao, Chi Du, Jianfei Liu 09:40-09:50 Online Target Volume Estimation and Prediction From an Interlaced Slice Acquisition - A Manifold Embedding and Learning Approach John Ginn, James Lamb, Dan Ruan

185 186 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP: iMIMIC Artificial Intelligence in Radiation Therapy (Cont.) NAME: iMIMIC – Interpretability of Machine Intelligence in Medical Image 9:50-10:00 Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Computing Orientation Optimization in Radiation Therapy DATE/TIME/VENUE: October 17 12:30-16:30 Madrid 2 Azar Sadeghnejad Barkousaraie, Olalekan Ogunmolu, Steve Jiang, Dan Nguyen ORGANIZERS: Mauricio Reyes (University of Bern, Healthcare Imaging A.I.); Ben Glocker 10:00-10:20 Break (Imperial College London); Ender Konukoglu (ETH Zurich); Roland Wiest 10:20-12:00 Oral Session # 2 (UniBern) 10:20-10:30 DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy 12:30-13:15 Keynote: "Resolving Challenges in Deep Learning-Based Analyses of Ryan Neph, Yangsibo Huang, Youming Yang, Ke Sheng Histopathological Images Using Explanation Methods” 10:30-10:40 One-Dimensional Convolutional Network for Dosimetry Evaluation at Organs- Alex Binder at-Risk in Esophageal Radiation Treatment Planning 13:15-14:00 Accepted Contributions Dashan Jiang, Teng Li, Ronghu Mao, Chi Du, Yongbin Liu, Shuolin Liu, Jianfei Liu Testing the Robustness of Attribution Methods for Convolutional Neural 10:40-10:50 Unpaired Synthetic Image Generation in Radiology Using GANs Networks in MRI-Based Alzheimer’s Disease Classification Denis Prokopenko, Jo¨el Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, Eitel et al. (Bernstein Center for Computational Neuroscience) Dmitry V. Dylov 10:50-11:00 Deriving Lung Perfusion Directly from CT Image Using Deep Convolutional UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied Neural Network: A Preliminary Study to Radiomics Ge Ren, Wai Yin Ho, Jing Qin, Jing Cai Yeche et al. (Imagia) 11:00-11:10 Individualized 3D Dose Distribution Prediction Using Deep Learning Generation of Multimodal Justification Using Visual Word Constraint Model for Jianhui Ma, Ti Bai, Dan Nguyen, Michael Folkerts, Xun Jia, Weiguo Lu, Linghong Zhou, Explainable Computer-Aided Diagnosis” Steve Jiang Lee et al. (KAIST) 11:10-11:20 Deep Generative Model-Driven Multimodal Prostate Segmentation in 14:00-14:30 Coffee Break Radiotherapy Kibrom Berihu Girum, Gilles Cr´ehange, Raabid Hussain, Paul Michael Walker, Alain 14:30-15:15 Keynote: “ Interpreting Latent Semantics in GANs for Semantic Image Editing” Lalande Bolei Zhou 11:20-11:30 Dose Distribution Prediction for Optimal Treatment of Modern External Beam 15:15-16:15 Accepted Contributions Radiation Therapy for Nasopharyngeal Carcinoma Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Bilel Daoud, Ken’ichi Morooka, Shoko Miyauchi, Ryo Kurazume, Wafa Mnejja, Leila Shift Detection Farhat, Jamel Daoud Pisov et al. (IITP) 11:30-11:40 UC-GAN for MR to CT Image Synthesis Guideline-based Additive Explanation for Computer-Aided Diagnosis of Lung Haitao Wu, Xiling Jiang, Fucang Jia Nodules 11:40-11:50 CBCT-based Synthetic MRI Generation for CBCT-guided Adaptive Radiotherapy Zhu et al. (Hitachi, Ltd. Research & Development Group) Yang Lei, Tonghe Wang, Joseph Harms, Yabo Fu, Xue Dong, Walter J. Curran, Tian Liu Xiaofeng Yang Deep Neural Network or Dermatologist Shrapnel et al. (Univ. of Queensland) 11:50-12:00 Cardio-pulmonary Substructure Segmentation of CT images using Convolutional Neural Networks Towards Interpretability of Segmentation Networks by analyzing DeepDreams Rabia Haq, Alexandra Hotca, Aditya Apte, Andreas Rimner, Joseph O. Deasy, Maria Couteaux et al. (Télécom ParisTech, Philips Research) Thor 16:15-16:30 Group discussion and wrap-up 12:00 Closing Remarks

187 188 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP: MFCA WORKSHOP: UNSURE NAME: Mathematical Foundations of Computational Anatomy (MFCA’19) NAME: UNcertainty for Safe Utilization of Reporting and Enhancing in Medical Image Applications DATE/TIME/VENUE: October 17 08:00-17:00 El Chino 2 DATE/TIME/VENUE: October 17 12:30-16:30 hrs Madrid 5 ORGANIZERS: Xavier Pennec (INRIA); Mads Nielsen (University of Copenhagen, Denmark); Sarang Joshi (University of Utah, USA); Tom Fletcher (University of Virginia); ORGANIZERS: Ryutaro Tanno (University College London); Carole Sudre (King’s College Stanley Durrleman (INRIA); Stefan Sommer (University of Copenhagen, London); Adrian V Dalca (MIT); Christian Baumgartner (ETH Zuerich); Tal Arbel Denmark) (McGill); William Wells III (Brigham and Women’s Hospital)

08:00-08:05 Introductory Remarks 12:30-12:35 Welcoming words 08:05-08:50 Diffeomorphic Metric Learning and Template Optimization for Registration- 12:35-13:10 Keynote 1 Based Predictive Models Koen van Leemput Ayagoz Mussabaeva, Maxim Pisov, Anvar Kurmukov, Alexey Kroshnin, Li Shen, Shan 13:10-14:00 Oral session 1 Cong, Lei Wang, Boris Gutman 13:10-13:30 Long Oral 1 “Propagating Uncertainty Across Cascaded Medical Imaging Tasks 08:50-09:35 3D Mapping of Serial Histology Sections with Anomalies Using a Novel Robust for Improved Deep learning Inference” Deformable Registration Algorithm Raghav Mehta, Thomas D Christinck, Tanya Nair, Paul Lemaitre, Douglas Arnold, Tal Daniel Tward, Xu Li, Bingxing Huo, Brian Lee, Partha Mitra, Michael Miller Arbel 09:35-10:00 Coffee Break 13:30-13:35 Spotlight 1 “Probabilistic Surface reconstruction with unknown 10:00-10:45 Spatiotemporal Modeling for Image Time Series with Appearance Change: Correspondence” Application to Early Brain Development Dennis Madsen, Thomas Vetter, Marcel Luthi James Fishbaugh, Martin Styner, Karen Grewen, John Gilmore, Guido Gerig 13:35-13:40 Spotlight 2 “Probabilistic Image Registration via Deep Multi=class Classification 10:45-11:30 Surface Foliation Based Brain Morphometry Analysis Characterizing uncertainty” Chengfeng Wen, Na Lei, Ming Ma, Xin Qi, Wen Zhang, Yalin Wang, Xianfeng Gu Alireza Sedghi, Jie Luo, Tina Kapur, Parvin Mousavi, William M Wells 11:30-14:00 Lunch 13:40-13:45 Spotlight 3 “Reg R-CNN: Lesion Detection and Grading under Noisy Labels” Gregor N Ramien, Paul Jäger, Simon A Kohl, Klaus H. Maier-Hein 14:00-14:45 Mixture Probabilistic Principal Geodesic Analysis Youshan Zhang, Jiarui Xing, Miaomiao Zhang 13:45-13:50 Spotlight 4 “Quantifying Uncertainty of Deep Neural Networks in Skin Lesion Classification” 14:45-15:30 A Geodesic Mixed Effects Model in Kendall’s Shape Space Pieter Van Molle Esfandiar Nava Yazdani, Hans-Christian Hege, Christoph von Tycowicz 13:50-13:55 Spotlight 5 “A Generalized Approach to Determine Confident Samples for Deep 15:30-16:16 An as-Invariant-as-Possible GL+(3)-based Statistical Shape Model Neural Network on Unseen data” Felix Ambellan, Stefan Zachow, Christoph von Tycowicz Min Zhang, Kevin Leung, Zili Ma, Wen Jin, Avinash Gopal 16:15-17:00 Presentation of the MICCAI Special Interest Group (SIG) SHAPE, and best paper award 14:00-15:00 Coffee Break + Poster session sponsored by the SIG Guido Gerig, Beatriz Paniagua, Stanley Durrleman 15:00-15:35 Keynote 2 Yinzheng Li 15:35-16:15 Oral session 2 15:30-15:50 Long Oral 2 “Fast Nonparametric Mutual-Information Based Registration and Uncertainty Estimation” Mikael Agn, Koen Van Leemput

189 190 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP: HAL-MICCAI UNcertainty for Safe Utilization of Reporting and Enhancing in Medical Image Applications NAME: Hardware Aware Learning for Medical Image Computing and Computer (Cont.) Assisted Intervention 15:55-16:15 Long Oral 3 “Out of Distribution Detection for Intra Operative Functional DATE/TIME/VENUE: October 17 08:00-12:00 Huading: Winston Churchill Imaging” ORGANIZERS: Yiyu Shi (University of Notre Dame); X. Sharon Hu (University of Notre Dame); Tim Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Vemuri, Beat Danny Z Chen (University of Notre Dame), Bei Yu (Chinese University of Hong Muller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein Kong) 16:15-16:30 Discussion + Concluding remarks 08:00-08:10 Opening Remarks 08:10-08:50 Keynote: Deep Learning and Medical Image Applications: Current Challenges and New Approaches Danny Chen 08:50-09:00 Break 09:00-09:25 ANT-UNet: Accurate and Noise-Tolerant Segmentation for Pathology Image Processing Yufei Chen, Qinming Zhang, Tingtao Li, Hao Yu, Mei Tian, Cheng Zhuo 09:25-09:50 Fixed-Point U-Net Quantization for Medical Image Segmentation Mohammad Hossein AskariHemmat, Yvon Savaria, Jean-Pierre David, Sina Honari, Christian Perone, Lucas Rouhier, Julien Cohen-Adad 09:50-10:15 An Analytical Method of Automatic Alignment for Electron Tomography Shuang Wen, Guojie Luo 10:15-10:30 Break 10:30-10:55 Deep Compressed Pneumonia Detection for Low-Power Embedded Devices Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang 10:55-11:20 Hardware Acceleration of Persistent Homology Computation Fan Wang, Chunhua Deng, Bo Yuan, Chao Chen 11:20-11:55 D3MC: A Reinforcement Learning based Data-driven Dyna Model Compression Jiahui Guan, Ravi Soni, Dibyajyoti Pati, Avinash Gopal, Venkata R Saripalli

191 192 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP: PIPPI WORKSHOP: MBIA NAME: MICCAI Workshop on Perinatal Imaging, Placental and Preterm Image NAME: Multimodal Brain Image Analysis analysis (PIPPI 2019) DATE/TIME/VENUE: October 17 12:30-16:30 Meeting: El Chino 5 DATE/TIME/VENUE: October 17 12:30-16:30 Meeting: Huading: Winston Poster: Espana I Churchill ORGANIZERS: Dajiang Zhu (University of Texas at Arlington); Jingwen Yan (Indiana University); Poster: Espana I Heng Huang (University of Pittsburgh); Li Shen (University of Pennsylvania); ORGANIZERS: Roxane Licandro (Computer Vision Lab, TU Vienna, Austria); Jana Hutter Paul Thompson (Imaging Genetics Center, University of Southern California ); (Department of Biomedical Engineering, King’s College London, UK); Emma Carl-Fredrik Westin (Harvard University) Robinson (Department of Biomedical Engineering, King’s College London, UK); Andrew Melbourne (Centre for Medical Image Computing, University College London, UK);Daan Christiaens (Department for Perinatal Imaging, King’s College 12:30-12:45 Welcome London, UK); Esra Abaci Turk ( Children’s Hospital, Boston, US) 12:45-13:45 Invited Talk: “Biomarker Detection, Brain Response Characterization and Outcome Prediction for ASD Treatment Assessment from Neuroimaging” James Duncan, Yale School of Medicine, Yale University 12:30-12:45 Welcome and introduction 13:45-14:00 Coffee Break 12:45-13:45 Keynote #1 Jakab Andras 14:00-15:15 Oral Session Biological Knowledge Guided Deep Neural Network for Genotype-Phenotype 13:45-14:15 Oral session Association Study Plug-and-Play Priors for Reconstruction-based Placental Image Registration Yanfu Zhang; Liang Zhan; Paul Thompson; Heng Huang A Longitudinal Study of the Evolution of the Central Sulcus’ Shape in Preterm BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers Infants using Manifold Learning and Associated Pathological Processes 14:15-15:15 Coffee Break and Poster Viewing Razvan V. Marinescu; Arman Eshaghi; Daniel Alexander; Polina Golland) 15:15-16:15 Oral session Dual Network Generative Adversarial Networks for Pediatric Echocardiography Exploring Brain Hemodynamic Response Patterns Via Deep Recurrent Segmentation Autoencoder Shijie Zhao; Yan Cui; Yaowu Chen; Xin Zhang; Wei Zhang; Huan Liu; Junwei Han; Lei Investigating Image Registration Impact on Preterm Birth Classification: An Guo; Leo Xie; Tianming Liu Interpretable Deep Learning Approach An Edge Enhanced SRGAN for MRI Super Resolution in Slice-selection Direction Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal Jia Liu; Fang Chen; Xianyu Wang; Hongen Liao fMRI Prioritizing Amyloid Imaging Biomarkers in Alzheimer’s Disease via Learning to Estimation of Preterm Birth Markers with U-Net Segmentation Network Rank Bo Peng; Zhiyun Ren; Xiaohui Yao; Kefei Liu; Andrew Saykin; Li Shen; Xia Ning

16:15-16:30 Wrap up and best presentation prize 15:15-15:30 Poster Highlight 15:30-16:30 Closing Remarks, Poster Session

193 194 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP: CLIP 2019 NAME: 8th MICCAI Workshop on Clinical Image-based Procedures (CLIP 2019) O-CLIP-10 A Device-independent Novel Statistical Modeling for Cerebral TOF-MRA data Segmentation DATE/TIME/VENUE: October 17 09:30-18:00 Pippete: Latour Baochang Zhang, Zonghan Wu, Shuting Liu, Shoujun Zhou, Na Li, Gang Zhao ORGANIZERS: Klaus Drechsler (Aachen University of Applied Sciences, Germany), Marius Erdt O-CLIP-11 A Clinical Measuring Platform for Building the Bridge across the Quantification of (Fraunhofer Singapore), Miguel Ángel González Ballester (ICREA – Universitat Pathological N-cells in Medical Imaging for Studies of Disease Pompeu Fabra, Spain), Marius George Linguraru (Children’s National Healthcare Peifang Guo System, USA), Cristina Oyarzun Laura (Fraunhofer IGD, Germany), Raj Shekhar (Children’s National Healthcare System, USA), Stefan Wesarg (Fraunhofer IGD, Germany)

Oral Presentation O-CLIP-1 Spatiotemporal Statistical Model of Anatomical Landmarks on a Human Embryonic Brain Aoi Shinjo, Atsushi Saito, Tetsuya Takakuwa, Shigehito Yamada, Hidekata Hontani, Hiroshi Matsuzoe, Shoko Miyauchi, Ken’ichi Morooka, Akinobu Shimizu O-CLIP-2 Recovering Physiological Changes in Nasal Anatomy with Confidence Estimates Ayushi Sinha, Xingtong Liu, Masaru Ishii, Gregory Hager, Russell Taylor O-CLIP-3 Three-Dimensional Face Reconstruction from Uncalibrated Photographs: Application to Early Detection of Genetic Syndromes Liyun Tu, Antonio R. Porras, Araceli Morales, Daniel A. Perez, Gemma Piella, Federico Sukno, Marius George Linguraru O-CLIP-4 Data Augmentation from Sketch Debora Gil, Antonio Esteban Lansaque, Sebastian Stefaniga, Mihail Gaianu, Carles Sanchez O-CLIP-5 An automated CNN-based 3D Anatomical Landmark Detection Method to Facilitate Surface-Based 3D Facial Shape Analysis Ruobing Huang, Michael Suttie, Alison Noble O-CLIP-6 DPANet: A Novel Network Based on Dense Pyramid Feature Extractor and Dual Correlation Analysis Attention Modules for Colon Glands Segmentation Shuting Liu, Baochang Zhang, Xi Li, Yiqing Liu, Mengying Hu, Tian Guan, Yonghong He O-CLIP-7 Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Hang-fan Liu, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan O-CLIP 8 Spaciousness Filters for Non-Contrast CT Volume Segmentation of the Intestine Region for Emergency Ileus Diagnosis Hirohisa Oda, Kohei Nishio, Takayuki Kitasaka, Benjamin Villard, Hizuru Amano, Kosuke Chiba, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori O-CLIP 9 Synthesis of Medical Images Using GANs Luise Middel, Christoph Palm, Marius Erdt

195 196 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS OCTOBER 17 SATELLITE EVENTS

WORKSHOP: MIL Learning to Segment Skin Lesions from Noisy Annotations NAME: Medical Image Learning with Less Labels and Imperfect Data A Weakly Supervised Method for Instance Segmentation of Biological Cells DATE/TIME/VENUE: October 17 08:00-12:00 Madrid 5 Towards Practical Unsupervised Anomaly Detection on Retinal Images ORGANIZERS: Hien V Nguyen (University of Houston); S. Kevin Zhou (ICT); Vishal Patel (Johns Hopkins University); Khoa Luu (University of Arkansas); Ngan Le (Carnegie Fine tuning U-Net for Ultrasound Image Segmentation: Which Layers? Mellon University); Steve Jiang (UT Southwestern Medical Center); Badri Roysam Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with (University of Houston) Dense Attention Guided by Geodesic Distance 11:55-12:00 Closing Remarks 08:00-08:05 Opening Remarks 08:05-08:45 Keynote Speech Kevin Zhou, Chinese Academy of Sciences 08:45-09:30 Keynote Speech Pallavi Tiwari, Case Western Reserve University 09:30-10:30 Oral presentations Self-Supervised Learning of Inverse Problem Solvers in Medical Imaging Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice- propagation A Cascade Attention Network for Liver Lesion Classification in Weakly-labeled Multi-phase CT Images CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast- Enhanced CT Active Learning Technique for Multimodal Brain Tumor Segmentation using Limited Labeled Images Semi-supervised Learning of Fetal Anatomy from Ultrasound Multi-Modal Segmentation with Missing MR Sequences Using Pre-Trained Fusion Networks More Unlabelled Data or Label More Data? A Study on Semi-Supervised Laparoscopic Image Segmentation Few-shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition A Convolutional Neural Network Method for Boundary Optimization Enables Few- Shot Learning for Biomedical Image Segmentation 10:15-10:30 Coffee Break 10:30-11:15 Keynote Speech Bennett Landman 11:15-11:55 Oral presentations Transfer Learning from Partial Annotations for Whole Brain Segmentation

197 198 22nd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION OCTOBER 13-17, 2019, INTERCONTINENTAL HOTEL SHENZHEN, SHENZHEN, CHINA

OCTOBER 17 SATELLITE EVENTS Shenzhen China’s New Model City CHALLENGE: Grand Pathology NAME: Grand Pathology MICCAI Automatic Prostate Gleason Grading Challenge 2019 (Gleason 2019) PAIP2019: Liver Cancer Segmentation (PAIP 2019) Digestive-System Pathological Detection and Segmentation Challenge (DigestPath 2019) DATE/TIME/VENUE: October 17 08:00-16:30 Barcelona ORGANIZERS: Hongsheng Li, Danielle Waker, Yoojung Kim/Jinwook Choi

08:00-10:00 Session 1: DigestPath 2019 Hongsheng Li 10:30-12:30 Session 2: Gleason 2019 Danielle Walker 14:00-16:00 Session 3: PAIP 2019 Yoojung Kim/Jinwook Choi 16:00-16:30 Networking

199 Andani, Sonali...... 38•53 Bakas, Spyridon...... 100•177•178 Berthier, Tess...... 79 Brunet, Jean-Nicolas...... 43•88 Chaddad, Ahmad...... 139 Anderson, Adam...... 54 Baker, Lauren...... 57 Besler, Bryce...... 169 Brügger, Robin...... 69 Chaganti, Shikha...... 82 Anderson, Jeffrey...... 54•60 Bakshi, Rohit...... 58 Bessadok, Alaa...... 55•126 Buch, Varun...... 81•115 Chaitanya, Krishna...... 70 Index Anderson, Owen...... 127 Balagopal, Anjali...... 76 Bessmeltsev, Mikhail...... 62 Budd, Samuel...... 90 Champion, Stephanie...... 136 Andras, Jakab...... 193 Balbastre, Yael...... 133 Beyeler, Michael...... 85 Bueno-Orovio, A...... 117 Chan, Poemen Pui Man...... 50 Andriole, Katherine...... 81 Ballester, MAG...... 118 Bhalodia, Riddhish...... 62 Bug, Daniel...... 52 Chan, Yi Hao...... 38•82 A Angelini, Elsa...... 5 Ballester, Miguel Ángel González...... Bharadwaj, Upasana Upadhyay. 167 Bukhari, Nadeem Haider...... 139 Chang, Jia...... 78 Aase, Svein...... 131 Angermann, Christoph...... 122 76•116•122•195 Bi, Guoqiang...... 51•62 Bulgarelli, Lucas...... 106 Chao, Hongyang...... 186 Abdi, Amir...... 86 Anghel, Andreea...... 38•53 Balocco, S...... 122 Bi, Lei...... 52 Bulté, Jean...... 115 Chapiro, Julius...... 63 Abe, Kentaro...... 82 Ankrah, Joseph...... 75 Balocco, Simone...... 122 Bian, Gui-bin...... 89•90 Burgos, Ninon...... 133 Chappell, Daniel...... 169 Abhishek, Kumar...... 64•133 Annangi, Pavan...... 79 Balsiger, Fabian...... 61 Biasiolli, Luca...... 73 Burnaev, Evgeny...... 156 Charles, Raffaelli...... 92 Abid, Latif...... 77 Anson, Beatriz Gomez...... 55 Balu, Niranjan...... 123 Biberthaler, Peter...... 76 Burwinkel, Hendrik...... 79•84 Chartsias, Agisilaos...... 55•115•137 Abolmaesumi, Purang...... Antani, Sameer...... 53 Bamps, Kobe...... 114 Bier, Bastian...... 43•89 Bustin, Aurelien...... 40•72 Chatelain, Pierre...... 44•90 ...... 5•65•74•84•86•92•132 Anter, Ahmed M...... 125 Banka, Alin...... 143 Bieri, Oliver...... 125 Butler, Mitchell...... 91 Chen, Alvin...... 85 Abugharbieh, Rafeef...... 71•73•78 Anton, EP...... 113 Bano, Sophia...... 87 Biffi, Carlo...... 40•41•63•73 Buyyounouski, Mark...... 186 Chen, Bo...... 60 Abulnaga, Mazdak...... 62 Anton, Esther Puyol...... 72•80•137 Bao, Shunxing...... 59 Bilello, Michel...... 140 Bydlon, Torre...... 85 Chen, C...... 118 Acero, JC...... 117 Antonelli, Michela...... 143 Baram, Alon...... 43•91 Billast, Mattias...... 178 Bône, Alexandre...... 55 Chen, Chang...... 41•64 Adalsteinsson, Elfar...... 91 Antony, Bhavna...... 41•50•182•183 Baratsits, Magdalena...... 50•184 Bilston, Lynne...... 112 Büttner, Stefan...... 53 Chen, Chao...... 53•192 Adams, Hieab...... 54•59 Antunes, Jacob...... 84 Barbarisi, Santiago...... 129 Binder, Alex...... 188 Chen, Chaoqi...... 116 Adeli, Ehsan..... 56•124•128•142•143 Apte, Aditya...... 187 Barbier, Emmanuel...... 55 Birodkar, Vighnesh...... 131 C Chen, Chen...... 41•60•63•116 ...... •154 Araújo, Ricardo...... 84 Barbieri, Christopher...... 138 Bischof, Horst...... 147 Cai, De...... 50 Chen, Cheng...... 66•78 Adhikari, Prashant...... 167 Arbel, Tal...... 59•137•190 Barillot, Christian...... 69 Bisdas, Sotirios...... 61 Cai, Hongmin...... 67 Chen, Cong...... 53 Adler, Tim...... 191 Arbelaez, Pablo...... 38•88 Barkan, Ella...... 83 Bise, Ryoma...... 51•52•82 Cai, Jianfei...... 60 Chen, Danny...... 60•61•64•68•192 Adluru, Nagesh...... 138 Ardizzone, Lynton...... 191 Barkhof, Frederik...... 124 Bisschops, Raf...... 67•128 Cai, Jing...... 187 Chen, Danny Z...... 192 Aerts, Hugo...... 100 Ariga, Rina...... 137 Barkousaraie, Azar Sadeghnejad...... Blaber, Justin...... 54 Cai, Jinzheng...... 53•61 Chen, Di...... 78 Afacan, Onur...... 74•76 Arikan, Mustafa...... 166 91•187 Blaschko, Matthew...... 67 Cai, Lei...... 50 Chen, Dongdong...... 81 Agn, Mikael...... 190 Armand, Mehran...... 87 Barratt, Dean...... 88•131 Blendowski, Maximilian...... 83 Cai, Shaojin...... 174 Chen, Elvis...... 5•86•119 Aguilera, Nancy...... 51•183 Armin, Mohammad Ali...... 120 Basnet, Ramesh...... 145 Blocher, Joseph...... 72 Cai, Weidong...... 5•52•58•69•169 Chen, Fang...... 119•194 Aguirre, Geoffrey K...... 184 Arnold, Corey...... 38•82 Basu, Sumana...... 55 Bloem, Peter...... 170 Cai, Yifan...... 90 Chen, Geng...... 40•57•74 Ahmad, Sahar...... 56•88 Arnold, Douglas...... 59•137•190 Bateson, Mathilde...... 67 Blumberg, Stefano B...... 57•75•154 Cai, Yunliang...... 167 Chen, Guoliang...... 142 Ahmadi, Ahmad...... 79•84 Arteaga, Henry Mauricio M Orbes..... Batmanghelich, Kayhan...... 5 Bly, Randall...... 135 Calabresi, Peter...... 41•70 Chen, Guozhen...... 182•183•185 Ahmadi, Milad...... 124 ...... 138 Battie, Michele...... 81 Bo, Wang...... 62 Caldairou, Benoit...... 38•58 Chen, Hanbo...... 49•50 Ahn, Jaesin...... 83 Asgari, Rhona...... 50•184 Battistella, Enzo...... 70 Bodenstedt, Sebastian.... 87•88•130 Caliva, Francesco...... 82 Chen, Hao...... 49•50•51•78•81 Ahn, Joshua...... 81 Ashburner, John...... 72•133 Baumgartner, Christian. 5•69•70•190 Boerner, Thomas...... 53 Camara, O...... 113•114 Chen, Huai...... 68•72 Aibaidula, Abudumijiti...... 79 AskariHemmat, Mohammad Hossein Baumgartner, Michael...... 38•79 Bogaert, Jan...... 114 Camara, Oscar...... 116 Chen, Jefferson...... 155 Aida, Kento...... 91 ...... 192 Baust, Maximilian...... 137 Bogdanova, Anna...... 53 Camilleri, Susan...... 115 Chen, Jianan...... 79•137 Aja-Fernandez, Santiago..... 179•180 Asselin, Mark...... 4 Baxter, John...... 4 Bogunovic, Hrvoje...... 50•124 Campanella, Gabriele...... 53 Chen, Jiawei...... 135 Ajilore, Olusola...... 91 Asselmann, D...... 149 Bayat, Amirhossein...... 167 Bogunovi´c, Hrvoje...... 182•183•184 Campbell, Kris...... 60 Chen, Jin...... 81 Akarca, Ayse U...... 53 Astaraki, Mehdi...... 83 Becker, Anton...... 70 Boimel, Pamela...... 83 Campello, Vicotr Manuel...... 116 Chen, Jingjing...... 89 Akbar, Ridho...... 179 Atkinson, David...... 69•133 Becker, Benjamin Gutierrez...... 55 Bolan, Candice...... 82 Campello, VM...... 118 Chen, Jingkun...... 117 Akin, Oguz...... 64 Atluri, Gowtham...... 142•143 Behnami, Delaram...... 84 Bonet-Carne, Elisenda...... 179 Cao, Guiping...... 182•183 Chen, Jintai...... 60•61 Akrami, Haleh...... 59 Attar, Rahman...... 80 Beier, Susann...... 122 Bonheur, Savinien...... 67 Cao, Jiezhang...... 49 Chen, Jun...... 60 Akrout, Mohamed...... 77 Audelan, Benoît...... 69 Beig, Niha...... 4 Boor, Peter...... 51 Cao, Kunlin...... 90 Chen, Junxuan...... 80 Alansary, Amir...... 90 Audette, Michel...... 167 Beinart, Kiara...... 112 Borges, Pedro...... 134 Cao, Liangliang...... 64 Chen, Junying...... 132 Albarqouni, Shadi...... Aughwane, Rosalind...... 69 Beleigoli, Alline...... 136 Bortsova, Gerda...... 54•61•63•168 Cao, Lvchen...... 72 Chen, Kailin...... 167 ...... 5•50•79•83•84•85•122•137•141 Aung, Nay...... 73 Bello, Ghalib...... 40•73 Borucki, Bartosz...... 131•169 Cao, Shilei...... 39•62 Chen, Li...... 49•67•123 Albors, C...... 114 Avetisian, Manvel...... 78 Ben-Eliezer, Noam...... 70 Bourantas, George...... 112 Cao, Xiaohuan...... 5•38 Chen, Liang...... 133 Albors, Carlos...... 116 Aviles-Rivero, Angelica...... 78 Ben-Josef, Edgar...... 83 Boussel, Loïc...... 70 Cao, Yihui...... 122 Chen, Long...... 64 Alexander, Andrew...... 138 Awate, Suyash...... 5•75 Ben-Shlomo, Nir...... 64 Boutry, N...... 117 Cao, Yingxin...... 155 Chen, Maodong...... 147 Alexander, Daniel...... Ayache, N...... 113 Ben Ayed, Ismail...... 5•67•70•165 Bowles, Christopher...... 75•80 Carapella, Valentina...... 73 Chen, Min...... 184 ...... 57•58•66•75•181•194 Ayala, Leonardo...... 129•191 Bendahan, David...... 70 Boxberg, Melanie...... 52 Carass, Aaron...... 41•58•70 Chen, Mingjian...... 65 Alexander, Daniel C...... 124 Aylward, Stephen...... 4•5 Benders, Manon...... 42•70 Boyd, Steven...... 169 Cardoen, Ben...... 52 Chen, Nenglun...... 77 Alfi, David M...... 85•89 Azizi, Shekoofeh...... 4 Bendszus, Martin...... 56 Boynton, Geoffrey M...... 85 Cardoso, Jaime...... 84 Chen, Qiang...... 57•184 Ali Mahjoub, Mohamed...... 126 Bengio, Yoshua...... 79 Bradford, Robert...... 61 Cardoso, Jorge..... 51•55•66•137•138 Chen, Qingqing...... 78 Allam, Moustafa...... 131 B Ben Khelifa, Oumaima...... 143 Bragman, Felix...... 66 ...... •170 Chen, Runnan...... 77 Allassonnière, Stéphanie...... 55 Bae, Woong...... 71 Bennett, Tell...... 50 Braman, Nathaniel...... 4•84 Cardoso, M. Jorge. 122•133•134•137 Chen, S. James...... 44•88 Alsharid, Mohammad...... 44•90 Baek, Woonhyuk...... 63 Benou, Itay...... 56 Breger, Anna...... 182•183 Carre, Alexandre...... 70 Chen, Shuai...... 61 Alvarez-Jiminez, Charlems...... 84 Bagci, Ulas...... 5•67•82•138 Bentley, Paul...... 133 Breininger, K...... 122 Carson, Richard...... 75 Chen, Tianhua...... 71 Alvén, Jennifer...... 62 Bagheri, Mohammadhadi...... 77 Ben Yedder, Hanene...... 52 Breininger, Katharina...... 63•81•122 Cascio, Carissa...... 59 Chen, Tingting...... 60•61 Amano, Hizuru...... 195 Bagnato, Francesca...... 58 Berangi, Reza...... 124 Bridge, Joshua...... 184 Cattin, Philippe C...... 43•86•125•162 Chen, Wan...... 182•183 Ambellan, Felix...... 83•189 Bagshaw, Hilary...... 186 Berman, Karen F...... 57 Broeckmann, Mirjam...... 38•79 Caversaccio, Marco...... 82 Chen, Xiang...... 127 Amer, Rula...... 70•84 Bahl, Ethan...... 156 Berman, Maxim...... 67 Bromiley, Paul A...... 169 Cedilnik, M Sermesant...... 114 Chen, Xiao...... 67 Amini, Sara Ms...... 121 Bai, Ti...... 187 Bermudez, Camilo...... 82 Bron, Esther...... 41•61 Cedilnik, Nicolas...... 115 Chen, Xin...... 49•68 Amit, Guy...... 83 Bai, W...... 118 Bernard, Olivier...... 68 Bron, Esther E...... 124 Cen, Xiaoping...... 82 Chen, Xinjian...... 5•183 Amit, Mika...... 83 Bai, Wenjia...... 40•41•63•73•116 Bernasconi, Andrea...... 38•58 Brooks, Rupert...... 81 Cengiz, Kubra...... 125 Chen, Xuejin...... 41•51•62•64 Amo, Marcel Tella...... 87 Bai, Xiuxiu...... 122 Bernasconi, Neda...... 38•58 Brudfors, Mikael...... 133•154 Cerliani, Leonardo...... 170 Chen, Yang...... 40•72 Anamandra, Saihareesh...... 79 Bainbridge, Alan...... 69 Bertels, Jeroen...... 67•114•177 Brueggeman, Leo...... 156 Chabanas, Matthieu...... 150 Chen, Y Ang...... 63

201 202 Chen, Yanxia...... 40•74 Chung, Albert...... 51•74 Dai, Wei...... 68 Dilys, Vismantas...... 127 Dvornek, Nicha C...... 144 Fan, Lingzhong...... 104 Chen, Yaowu...... 194 Chung, Minki...... 71 Dalca, Adrian...... 54•163 Ding, Caiwen...... 192 Dwyer, George...... 87 Fan, Qingnan...... 78 Chen, Yen-Wei...... 78 Chung, Moo...... 53•58•142•143 Dalca, Adrian V...... 163•190 Ding, Dayong...... 50•78•185 Dylov, Dmitry V...... 187 Fan, Xing...... 139 Chen, Yong...... 75 Ciga, Ozan...... 137 Dal Toso, Laura...... 175 Ding, Hui...... 87 Dym, J.P...... 68 Fan, Xinjuan...... 49•50 Chen, Youxin...... 78 Ciompi, Francesco...... 141 Dam, Erik...... 65 Ding, Huijun...... 79 Dyvorne, Hadrien...... 72 Fan, Yong...... 83•170•195 Chen, Yu...... 135 Ciszkowska-Lyson, Beata.... 131•169 Dang, Anh The...... 143 Ding, Linda...... 125 Dünnwald, Max...... 171 Fang, Chaowei...... 61 Chen, Yucheng...... 90 Claessen, Frank...... 66 Daoud, Bilel...... 187 Ding, Liqiang...... 81 D’Souza, Niharika...... 56 Fang, Jian...... 184 Chen, Yufei...... 192 Clancy, Neil...... 53 Daoud, Jamel...... 187 Ding, Meng...... 60 Fang, Jiansheng...... 136 Chen, Yuhua...... 72 Clark, Emma...... 169 Darkner, Sune...... 41•56 Ding, X...... 118 E Fang, Liyang...... 184 Chen, Yukun...... 52 Clarkson, Matthew...... 88•131 Darzi, Ara...... 43•86 Ding, Xinghao...... 63•116 E, Longjiang...... 62 Fang, Michael...... 60 Chen, Yundai...... 97•122 Clarysse, P...... 113 Dasu, Iuliana Toma...... 83 Ding, Zhipeng...... 61 Eaton-Rosen, Zach...... 51•138 Fang, Rongyao...... 89 Chen, Yunmei...... 135 Classen, Daniel...... 59 Davatzikos, Christos...... 100•170 Ding, Zijian...... 136 Eben, Jeffrey...... 84 Fang, Ruogu...... 50•66 Chen, Yunqiang...... 71•77•133 Claus, Piet...... 114 David, Anna L...... 69 Dinsdale, Nicola...... 67 Ebner, Michael...... 62 Fang, Yuqi...... 66 Chen, Zailiang...... 49•81 Clough, J...... 113 David, Jean-Pierre...... 192 Dipietro, Robert...... 86 Ebrahimi, Mehran...... 115 Fang, Zhenghan...... 75 Chen, Zhaolin...... 75 Clough, James...... 40•72•80•133 Davidson, Brian...... 53•88•131 Distler, Marius...... 130 Eckert, Joachim...... 81 Farahmand, Amir-Massoud...... 77 Chen, Zhijie...... 88 Clément, Michaël...... 56 Davies, Mike...... 81 Do, Thanh-Toan...... 88 Ector, Joris...... 114 Farhat, Leila...... 187 Chen, Zhineng...... 69 Coatrieux, Jean-Louis...... 63 Daza, Laura...... 38•88 Do, Tuong...... 88 Eekers, Danielle...... 139 Fathy, Mahmood...... 124 Chen, Zhiyuan...... 184 Cobo, Jaume Banus...... 114 De, Subhajyoti...... 51 Dokuchaev, A...... 114 Eelbode, Tom...... 67•128 Fatt, Cherise Chin...... 125 Cheng, Bastian...... 170 Cobzas, Dana...... 41•64 Deasy, Joseph...... 67 Dokuchaev, Arsenii...... 116 Egan, Gary...... 75 Fauser, Johannes...... 87 Cheng, Chi Tung...... 83 Cochet, Hubert...... 117 Deasy, Joseph O...... 187 Dolz, Jose...... 67•70•165 Egger, Bernhard...... 57 Fauser, Johannes L...... 129 Cheng, Chuandong...... 69 Codella, Noel C. F...... 153 Debavelaere, Vianney...... 55 Donati, Olivio...... 70 Egger, Jan...... 43•91 Fedorov, Vadim...... 114 Cheng, Dalong...... 147•167 Coelho, Santiago...... 58 de Bruijne, Marleen...... Dong, Bin...... 63•135 Ehler, Martin...... 182•183 Fehri, Hamid...... 128 Cheng, Jian...... 6•179 Cohen-Adad, Julien...... 192 ...... 4•54•59•61•63•110•171 Dong, Guohao...... 88 Ehrhardt, Jan...... 73 Fels, Sidney...... 86 Cheng, Jie-Zhi...... 67 Colchester, Alan...... 4 de Bruijne Marleen...... 168 Dong, Meng...... 62 Eikvil, Line...... 131 Feng, Chaobo...... 167 Cheng, Jing...... 74 Coll-Font, Jaume...... 76 Debs, Noëlie...... 134 Dong, Mengjin...... 71 Eitel, et al...... 188 Feng, Chiyu...... 124 Cheng, Jun...... Collery, Benjamin...... 168 De Buck, Stijn...... 114 Dong, Nanqing...... 68 Eitel, Fabian...... 155 Feng, Dagan...... 52 ...... 6•40•49•71•80•182•183•184 Collins, Louis...... 55•59 Debus, Jürgen...... 56 Dong, Qinglin...... 57•135 Ekanayake, Jinendra...... 143 Feng, J...... 113 Cheng, Ke...... 49 Collomb, Nore...... 55 De Craene, M...... 114 Dong, Suyu...... 49 El-Baz, Ayman...... 6•83 Feng, Jianfeng...... 61 Cheng, Keyun...... 44•89 Comaniciu, Dorin...... 39•76 De Craene, Mathieu...... 116 Dong, Xue...... 187 El-Gazzar, Ahmed...... 170 Feng, Qianjin...... 5 Cheng, Kwang-Ting...... 62 Combalia, Marc...... 153 Decroocq, Meghane...... 134 Dong, Yunyun...... 81 El-Hariri, Houssam...... 78 Feng, Ruibin...... 38•71 Cheng, Pujin...... 184 Combaret, Nicolas...... 87 Deeba, Farah...... 75•176 Dorent, Reuben...... 61•70•74 Elazab, Ahmed...... 124•142 Feng, Ruiwei...... 60•61 Cheng, Victor...... 82 Commowick, Olivier...... 69 de Groot, Marius...... 41•61 Dorweiler, Bernhard...... 129 Elbeleidy, Saad...... 57 Feng, Shuanglang...... 183 Cheng, Weilin...... 75 Compter, Inge...... 139 Deguet, Anton...... 43•86 Doste, JM, R...... 114 Elhabian, Shireen...... 62 Feng, Yifan...... 102 Cheng, Xi...... 147 Cong, Shan...... 189 Dekker, Andre...... 139 Doste, Rubén...... 116 El Husseini, Malek...... 167 Fenster, Aaron...... 6•87 Cheng, Yu...... 64 Constable, Todd...... 54 de la Rosa, Ezequiel...... 170 Dou, Haoran...... 42•89 Ellis, Ian...... 68 Feragen, Aasa...... 41•56 Cheng, Yueh-Hung...... 186 Cool, Derek...... 87 Delingette, H...... 113 Dou, Qi. 44•49•51•62•78•89•129•186 Ellis, Randy...... 85 Fernandes, Joao Filipe...... 115 Cheplygina, Veronika...... 6•127 Cooper, Lee...... 100 Delingette, Hervé.... 4•69•82•92•107 Doughty, RN...... 113 Ellison, Jed...... 72 Ferrante, Enzo...... 41•68 Cherici, Teo...... 66 Cootes, Timothy F...... 169 ...... •115 Douglas, Pamela...... 170 Elmaghraby, Adel S...... 83 Ferrazzano, Peter...... 138 Cheung, Carol Yim Lui...... 50 Cornwell, Carl...... 53 Dell’Italia, John...... 155 Doukas, Michael...... 53 Elmahdy, Mohamed...... 69 Ferreira, Fabio Santos...... 154 Cheung, Helen...... 79 Corrales, C. Eduardo...... 64 Demarcy, Thomas...... 92 Doyle, Sean...... 115 Elmer, Ker Dai Fei...... 51 Ferreira, Vanessa...... 73 Chi, Ying...... 75•80 Correia, Teresa...... 76 Demirc, Stefanie...... 122 Drechsler, Klaus...... 195 Emberton, Mark...... 88 Fessler, Jeffrey...... 74 Chiang, Jeffrey...... 155 Cotin, Stephane...... 43•88 Demitriadis, Alex...... 61 Dresselaers, Tom...... 114 Engelhardt, Sandy...... 88 Feuerhake, Friedrich...... 52 Chiba, Kosuke...... 195 Coupé, Pierrick...... 56 De Momi, Elena...... 6 Driscoll, Ira...... 91 English, Jeryl...... 85 Fevens, Thomas...... 41•50 Chien, Aichi...... 65 Couteaux, et al...... 188 De Neve, Wesley...... 82 Drobinsky, Sergey...... 85 Enquobahrie, Andinet...... 119•137 Feydy, Jean...... 59 Chikontwe, Philip...... 126 Craley, Jeffrey...... 89 Deng, Chunhua...... 192 Drobnjak, Ivana...... 134 Erdt, Marius...... 195 Fidon, Lucas...... 62 Chinnadurai, Ponraj...... 101 Crecelius, Christopher E...... 89 Deng, Han...... 85•89 Drukker, Lior...... 44•90 Ernst, Philipp...... 81 Figueroa, Felipe Torres...... 38 Chintalapani, Gouthami...... 101 Crijns, Wouter...... 186 Deng, Lixi...... 80 Drummond, Tom...... 82 Eschweiler, Dennis...... 52•133 Filatova, Lena...... 4 Chiribiri, Amedeo...... 76 Crimi, Alessandro...... 177 Deng, Wenxiang...... 184 Du, Bowen...... 61 Escobar, Maria...... 38•88 Filatova, Olena G...... 99 Chng, Chin Boon...... 129 Crutch, Sebastian...... 57 Deng, Zhaohong...... 56 Du, Chi...... 186•187 Eshaghi, Arman...... 57•194 Fine, Ione...... 85 Cho, Hyungjoo...... 63 Cruz, Gastao...... 40•72 Denzinger, Felix...... 81 Du, Lei...... 54 Eslami, Abouzar...... 83•137 Fink, Laura...... 89 Cho, Tae-Hee...... 134 Cr´ehange, Gilles...... 187 Deprest, Jan...... 87 Du, Qianqian...... 81 Essert, Caroline...... 4•5•88 Firmin, David...... 60 Choi, Hongyoon...... 53 Cui, Hejie...... 82 De Senneville, Baudouin Denis... 56 Duan, Jinming...... 40•63•73 Essmann, Clara...... 53 Fischer, Katherine...... 195 Choi, Inchul...... 83 Cui, Shanshan...... 49•72•90 De Simone, Raffale...... 88 Duan, Y...... 113 Esteban, Javier...... 85 Fischer, Peter...... 85 Choi, Yoojung Kim/Jinwook...... 199 Cui, Yan...... 194 Desrosiers, Christian...... 139•165 Duan, Yuping...... 75 Estepar, Raul San Jose...... 70 Fischl, Bruce...... 54 Chong, Jaron...... 60 Curcio, Christine...... 52 Desrues, Gaetan...... 115 Dubost, Florian. 54•57•59•63•168•171 Estienne, Théo...... 70 Fishbaugh, James...... 55•189 Chotzoglou, Elisa...... 126•128 Curran, Walter J...... 186•187 Deutsch, Eric...... 70 Duchateau, N...... 113 Evins, Anne...... 38•77 Fishman, Elliot...... 76•77 Chougule, Tanay...... 60•139 Curtin, Lee...... 156 de Vila, Mitlon Hoz...... 4 Duchesnay, Edouard...... 170 Ezhov, Ivan...... 55 Fletcher, Tom...... 54•60•189 Chow, Jeanne...... 76 Cvijetic, Gregor...... 91 de Vos, Bob...... 163 Duncan, James...... 57•63•77•194 Ezzat, Ahmed...... 43•86 Flouri, Dimitra...... 69 Chow, Steven...... 153 de With, Peter H.N...... 43•66•86 Duncan, John...... 87 Ezzine, Baha Eddine...... 54 Flouty, Evangello...... 129 Christiaens, Daan...... 193 D Dey, Neel...... 52 Dunlap, Neal...... 83 Folkerts, Michael...... 187 Christinck, Thomas D...... 190 Dabrowski, Jakub...... 156 Dezaki, Fatemeh Taheri...... 92 Dunnmon, Jared...... 42•92 F Forkert, Nils...... 169 Christodoulidis, Stergios...... 70 Dadar, Mahsa...... 59 Dhamala, Jwala...... 91 Duong, Luc...... 122 Fahrig, Rebecca...... 85 Forkert, Nils Daniel...... 122 Christodoulou, Anthony...... 72 Dadashkarimi, Javid...... 143 Dharmakumar, Rohan...... 115 Durrleman, Stanley...... 55•189 Falcão, Alexandre...... 122 Fortel, Igor...... 91 Chu, Renxin...... 58 Dahal, Lavsen...... 167 Di Folco, M...... 113 Durso-Finley, Joshua D...... 178 Faludi, Balázs...... 43•86 Fortin, Maryse...... 81 Chui, Chee-Kong...... 129 Dai, Changping...... 131 Digumarthy, Subba...... 39•76 Durán, Francisca...... 90 Fan, Bowen...... 136 Foster, Mark...... 72 Chun, Il Yong...... 74 Dai, Fangfang...... 185 Di Jorio, Lisa...... 79 Dutil, Francis...... 79 Fan, Guoxin...... 167 Fountoukidou,Tatiana...... 72 Chung, Ai Wern...... 99•142•143•144 Dai, Hang...... 60 Dillenseger, Jean-Louis...... 63 Dvornek, Nicha...... 57•63•77 Fan, Jianping...... 185 Fox, Nick C...... 124

203 204 Frahm, Jan-Michael...... 44•90 Gasimova, Aydan...... 166 Golnaraghi, Farid...... 52 Guo, Yan...... 184 Harada, Tatsuya...... 38•83•91 Ho, Alison...... 44•91 Frangi, Alejandro...... Gasperini, Stefano...... 60 Golse, Nicolas...... 43•88 Guo, Yike...... 63 Harding, Simon...... 184 Ho, Nicholas...... 129 ...... 4•49•58•69•75•77•128•134 Gateno, Jaime...... 85•89 Gomez, Alberto . 44•58•90•91•131•175 Guo, Yufan...... 106 Hardisty, Michael...... 167 Ho, Tsung-Ying...... 39•64 Franke, Jochen...... 85 Gauthier, Susan A...... 79 Gomez, JF...... 114 Guo, Yuyu...... 52 Hariharan, Sai Gokul...... 85 Ho, Wai Yin...... 187 Freiman, Moti...... 6 Ge, Bao...... 135 Gomez, Juan Francisco...... 116 Gupta, Kratika...... 75 Harms, Joseph...... 186•187 Hodgson, Antony J...... 78 Frey, Benedikt...... 170 Ge, Fangfei...... 135 Gong, Kuang...... 72 Gupta, Laxmi...... 51 Harrison, Adam...... 39•64•83 Hoeben, Ann...... 139 Frid-Adar, Maayan...... 84 Ge, Jiawei...... 87 Gong, Lijun...... 80 Gupta, Rajarsi...... 50 Harrison, Logan...... 155 Hoeppner, Daniel J...... 52 Friedman, Zvi...... 43•91 Ge, Qiu...... 74 Gong, Qiyong...... 35•40 Gupta, Sukrit...... 38•82 Hashimot, Yohei...... 185 Hoetker, Andreas...... 70 Frindel, Carole...... 134 Ge, Rongjun...... 40•72 Gong, Yanjun...... 63 Gur, Yaniv...... 166 Hatano, Asuka...... 136 Hofer, Dominik...... 184 Frisken, Sarah...... 41•64 Ge, Yunhao...... 88 González, Cristina...... 38•88 Gurusamy, Kurinchi...... 88•131 Hatsukami, Thomas...... 123 Hoffmann, Nico...... 59 Frokjaer, Vibe...... 55 Ge, Zongyuan...... 60•82•83 Gooya, Ali...... 53•128•133 Gutman, Boris...... 143•189 Haustermans, Karin...... 186 Hofmann, Felix...... 167 Frydrychowicz, Alex...... 73 Gee, James...... 57 Gopal, Avinash...... 190•192 Gutman, David...... 100 Havaei, Mohammad...... 79•81 Hogeweg, Laurens...... 63 Fu, Chi-Wing...... 60•61 Gee, James C...... 184 Gorantla, Vijay...... 71 Gyawali, Prashnna...... 84 Hawkes, David...... 131 Hoi, Steven...... 77 Fu, Huazhu.... 51•54•55•60•71•72•80 Gelly, Jean-Francois...... 115 Gori, Pietro...... 59 Géraud, T...... 117 Hawkins-Daarud, Andrea...... 156 Holch, Julian Walter...... 125 ...... •182 Geng, Xiujuan...... 6 Gottschalk, Tristan...... 175 Hayashi, Hideaki...... 82 Holden, Marit...... 131 Fu, Luke...... 90 George, Yasmeen...... 182•183 Gotway, Michael...... 38•71 H Hayashi, Yuichiro...... 69 Holland, Robert...... 126 Fu, Weilin...... 63 Georgescu, Bogdan...... 39•76 Gould, Justin...... 115 Ha, Jason...... 52 Hayashi, Yusaku...... 38•83 Holmes III, David R...... 120 Fu, Xiangling...... 77 Gerber, Samuel...... 137 Gounley, John...... 44•88 Ha, Seunggyun...... 53 Hayashida, Junya...... 52 Honari, Sina...... 192 Fu, Xinghui...... 78 Gerendas, Bianca...... 166 Graham, Todd...... 131 Haarburger, Christoph...... 38•79 He, Feng...... 78 Honarvar, Mohammad...... 41•67•75 Fu, Yabo...... 186•187 Gerendas, Bianca S...... 182•183•184 Granados, Alejandro...... 87 Haberbosch, Isabella...... 51 He, Huiguang...... 5•6•62 Hong, Helen...... 125 Fua, Pascal...... 69 Gerig, Guido...... 52•55•189 Granger, Eric...... 70 Habes, Mohamad...... 170 He, Jishuai...... 44•85 Hong, Sungmin...... 55 Fuchs, Moritz...... 129 Gerig, Nicolas...... 43•86 Grant, Ellen...... 62•91 Hacihaliloglu, Ilker...... 86 He, L...... 118 Hong, Yi...... 6 Fuchs, Thomas...... 53 Gernand, Alison...... 52 Grau, V...... 117 Haddow, Lewis...... 138 He, Le...... 123 Hong, Yoonmi...... 40•74 Fujiwara, Michitaka...... 133 Gessert, N...... 117 Grau, Vicente...... 115 Haeffele, Benjamin...... 134 He, Lei...... 68 Honnorat, Nicolas...... 56•142•143 Fukuda, Akihiro...... 137 Gessert, Nils...... 153 Gray, Robert...... 72 Haemers, Peter...... 114 He, Ling...... 116 Hontani, Hidekata...... 195 Fung, Kenneth...... 73 Gharleghi, Ramtin...... 122 Grbic, Sasa...... 39•76 Hafessas, Ryadh...... 112 He, Mingguang...... 52 Hoppe, Elisabeth...... 56 Funke, Isabel...... 87•88 Ghazal, Mohammed...... 83 Grechenig, Christoph...... 124 Hager, Gregory...... 195 He, Shisheng...... 167 Horacek, Bohumil Milan...... 91 Furth, Susan L...... 195 Ghazy, Ahmed...... 129 Green, Michael...... 175 Hager, Gregory D...... 86 He, Wenwen...... 50 Horie, Makoto...... 38•83 Furukawa, Ryo...... 120 Ghesu, Florin...... 39•76 Greene, Clint...... 179•180 Hagos, Yeman Brhane...... 53 He, Xiaodong...... 49•90 Hoskins, Brady...... 156 Ghimire, Sandesh...... 84•91 Greenspan, Hayit. 5•43•70•84•91•166 Hahn, Horst K...... 170 He, Xiaoyu...... 127 Hossein, Eybposh Mohammad... 57 G Gholipour, Ali...... 74 Gregory, Cynthia...... 131 Hahn, Stefan...... 81 He, Xixi...... 50 Hotca, Alexandra...... 187 G, Deepika...... 135 Ghosal, Sayan...... 57 Gregory, Kenton...... 131 Haider, Aiman...... 53 He, Xujin...... 88 Hou, Benjamin...... 114•174 Gabrani, Maria...... 38•53 Ghosh, Debashis...... 50 Grenko, Caleb...... 178 Haider, Lukas...... 55 He, Yong...... 142 Hou, Feng...... 148 Gadermayr, Michael...... 51 Ghoshhajra, Brian...... 81 Grewen, Karen...... 189 Haije, Tom Dela...... 179•180 He, Yonghong...... 195 Hou, Jinlong...... 49 Gades, Tony...... 86 Ghribi, Olfa...... 126 Grimm, Lars...... 78 Hajnal, Joseph...... 42•44•58•73•91 He, Yufan...... 41•70 Hou, Rui...... 78 Gadi, Wollstein...... 41•50 Giannarou, Stamatia...... 6 Grimm, Matthias...... 85 Halse, Amber...... 131 He, Yuting...... 63 Hou, Xianxu...... 68 Gahm, Jin Kyu...... 55 Giarratano, Ylenia...... 4 Gro, Horst-Michael...... 125 Haltmaier, Markus...... 175 He, Zhibin...... 68 Hou, Xiaoshuai...... 148 Gaianu, Mihail...... 195 Gibson, Eli...... 39•76•88 Groehl, Janek...... 129 Haltmeier, Markus...... 122 Hege, Hans-Christian...... 189 Hou, Xinlin...... 135 Galeotti, John...... 71 Giger, Alina...... 125 Groves, Leah...... 86 Hamarneh, Ghassan...... Heiland, Sabine...... 56 Hou, Xuhong...... 66 Gamage, TPB...... 113 Gil, Debora...... 195 Gruijthuijsen, Caspar...... 87 ...... 52•64•71•73•79•133 Hein, Lena Maier...... 4 Hou, Zengguang...... 90 Gander, Amir...... 53 Gilbert, Andrew...... 131 Grumbach, Isabella M...... 184 Hamghalam, Mohammad...... 177 Heinemann, Volker...... 125 Hsieh, Michael...... 43•92 Gangi, Afshin...... 87•88 Gilbert, K...... 113 Gsaxner, Christina...... 43•91 Hammers, Alexander...... 133 Heinrich, Florian...... 121 Hsu, Feng-Ming...... 186 Ganz, Melanie...... 55 Gill, Harminder...... 115 Gu, Lin...... 63 Han, Bin...... 186 Heinrich, Mattias...... 69•83•163 Hsu, Li-Ming...... 57•58•59 Gao, Cong...... 43•89 Gill, Ravnoor...... 38•58 Gu, Ran...... 127•128 Han, Chihye...... 58 Helba, Brian...... 153 Hu, Dan...... 59•81 Gao, Dashan...... 71•77•133 Gillon, Stephane...... 114 Gu, Shi...... 57 Han, Hu...... 65•71 Heldmann, Stefan...... 70 Hu, Hongjie...... 78 Gao, Fei...... 40•49•51 Gilman, Jodi...... 38•77 Gu, Wenting...... 117 Han, Jun...... 64 Helle, Michael...... 122 Hu, Jing...... 136 Gao, Hao...... 117 Gilmore, John...... 59•72•189 Gu, Xianfeng...... 189 Han, Junwei...... 54•194 Hellemann, Gerhard...... 55 Hu, Mengying...... 195 Gao, Mingchen...... 68•84•137 Gin, Ken...... 65•74•84•92 Gu, Yun...... 65•86 Han, Miaofei...... 148 Heller, Nicholas...... 128•148 Hu, Shi...... 77 Gao, Peng...... 184 Ginn, John...... 186 Gu, Zaiwang...... 49•71•184 Han, Shizhong...... 71 Heller, Nicholas E...... 127 Hu, Szu-Yeu...... 186 Gao, Shenghua...... 40•49•71 Girard, Nadine...... 133 Guan, Jiahui...... 192 Han, Shuo...... 58 Heng, Pheng-Ann.... 42•44•49•50•51 Hu, X. Sharon...... 192 Gao, Siyuan...... 54•143 Giraud, Rémi...... 56 Guan, Tian...... 195 Han, X...... 118 ...... •60•61•62•78•89•133•156 Hu, Xiaobin...... 84 Gao, Xinb...... 84 Girault, Jessica...... 72 Guan, Zhenyu...... 86 Han, Xian-Hua...... 78 Hering, Alessa...... 70 Hu, Xiaojun...... 39•69 Gao, Xinbo...... 57 Girgis, Hany...... 65•74•84•92 Guedj, Eric...... 133 Han, Xiao...... 6•49•50•116 Hernandez, Adrian...... 129 Hu, Xiaowei...... 62 Gao, Yaozong...... 148 Girum, Kibrom Berihu...... 187 Guendel, Sebastian...... 39•76 Han, Xiaotong...... 52 Hernández, María Del C. Valdés.. 78 Hu, Yifan...... 79 Gao, Yuan...... 90 Glocker, Ben...... 61•62•67•169•188 Guerdan, Luke...... 155 Han, Xu...... 61 Herout, Adam...... 169 Hu, Yipeng...... 88•163 Gao, Yue...... 6•49•52•102 Gnansia, Dan...... 92 Guevara, Nicolas...... 82•92 Han, Zhi...... 80 Herrera, Luis Garcia-Peraza...... 62 Hu, Yu-chi...... 186 Gao, Yunhe...... 76 Goebel, Michael...... 155 Guitton, Florian...... 63 Hancock, Steven L...... 186 Herrera, Mildred...... 129 Hu, Yu-Chi...... 67 Gao, Yurui...... 54 Goh, Rick...... 78 Gujar, Sachin...... 142 Hancox, Jonny...... 105•141 Hett, Kilian...... 58 Hua, Xiansheng...... 80 Gao, Zhifan...... 64 Goh, Rick Siow Mong...... 185 Gujar, Sachin K...... 142 Handels, Heinz...... 73 Heurling, Kerstin...... 62 Huang, Chao...... 65 Garcia, Maria Del Mar Estarellas. 154 Goksel, Orcun...... 6•40•76•91 Guo, Dazhou...... 39•64 Hann, Evan...... 73 Hiasa, Yuta...... 169 Huang, H...... 118 García, Inmaculada...... 122 Golby, Alexandra...... 41•59•64 Guo, Deming...... 66 Hannaford, Blake...... 135 Hibino, Narutoshi...... 90 Huang, Heng...... 57•58•69•91•194 Garibaldi, Jon...... 68 Goldbach, Felix...... 184 Guo, Lei...... 54•68•91•194 Hansen, Christian...... 81 Higashita, Risa...... 182•183 Huang, Hongyu...... 116 Garnavi, Rahil...... 41•50•182•183 Goldberger, Jacob...... 70 Guo, Mengjie...... 71 Hansen, Colin...... 54 Higgins, Kristin...... 186 Huang, Huifang...... 56 Garrett, Fred...... 85 Goldman, Aaron L...... 57 Guo, Peifang...... 196 Hansen, Mads...... 80 Hille, Georg...... 81 Huang, Jia-Bin...... 67 Garvin, Mona K...... 182•184 Goldman, Roger...... 42•92 Guo, Ruoqian...... 61 Hansson, Oskar...... 62 Hinoki, Akinari...... 195 Huang, Jiashuang...... 55 Garway-Heath, David...... 73 Goldstein, Jeffery...... 52 Guo, Wenming...... 69 Hao, Huaying...... 49•182•183 Hiptmair, Ralf...... 91 Huang, Junzhou... 6•41•49•50•52•61 Garweg, Christophe...... 114 Golland, Polina. 54•57•62•91•124•194 Guo, Xiaoqing...... 83 Haq, Rabia...... 187 Hmaid, Tahany...... 85 ...... •78

205 206 Huang, Kaikai...... 38•83 Iordachita, Iulian...... 87 Jiang, Wenhao...... 186 Kaminska, Agnieszka...... 156 Kim, Jieun...... 70 Krebs, J...... 113 Huang, Kaiqi...... 65 Iriondo, Claudia...... 82 Jiang, Xi...... 5•57 Kamnitsas, Konstantinos...... Kim, Jihang...... 80 Kreshuk, Anna...... 51 Huang, Kun...... 80 Irzan, Hassna...... 144•180 Jiang, Xiang...... 81 ...... 61•63•90•103•137 Kim, Jinman...... 52 Krewcun, Camille...... 87 Huang, Meiping...... 68•89 Isaac, Amanda...... 70 Jiang, Xiling...... 187 Kan, Yansheng...... 84 Kim, Jin Sung...... 125 Krieger, Axel...... 43•87•90•92 Huang, Ning...... 82 Isensee, Fabian...... 56•148 Jiang, Yiliang...... 68 Kanayama,Teppei...... 91 Kim, Junmo...... 125 Krieger, Miriam...... 125 Huang, Pu...... 56•57 Isgum, Ivana...... 42•69•70•103 Jiang, Yu...... 52 Kanber, Baris...... 154 Kim, Ki Hwan...... 97 Krishna, Arvind...... 79 Huang, Qiaoying...... 52•67 Ishii, Masaru...... 195 Jiao, Yining...... 139 Kandel, Pujan...... 82 Kim, Kyungsang...... 72 Kristin, Julia...... 87 Huang, Rian...... 132 Ishikawa, Hiroshi...... 41•50•182•183 Jiao, Zhicheng...... 56•57•59•79•84 Kang, Hyejin...... 53 Kim, Minjeong...... 54•142•144 Krogue, Justin...... 82 Huang, Rui...... 76 Islam, Mobarakol...... 44•89 Jie, Biao...... 172 Kang, Jin...... 43•92 Kim, Seong Tae...... 83 Kroshnin, Alexey...... 189 Huang, Ruobing...... 195 Ismail, Marwa...... 84 Jie, Qiao...... 49 Kang, Miao...... 39•69 Kim, Sungwoong...... 63 Kuang, Dongyang...... 134 Huang, Shaohui...... 168 Itoh, Hayato...... 69•120•195 Jimenez, Daniel...... 55 Kang, Qingbo...... 41•50 Kim, Taesup...... 63 Kuang, Hulin...... 60 Huang, Shih-Gu...... 58•142•143 Iwamoto, Yutaro...... 78 Jimenez-Perez, G...... 113 Kao, Po-Yu...... 155•178 Kim, Yongsoo...... 133 Kuang, Tianshu...... 85•89 Huang, Wei...... 79 Izadi, Saeed...... 175 Jimenez-Sanchez, Amelia...... 76 Kapinski, Norbert...... 131•169 Kin, Taichi...... 86 Kuang, Yehong...... 127 Huang, Weijian...... 67 Jin, Bing...... 59 Kapur, Tina...... 190 King, A...... 113 Kuczynski, Michael...... 169 Huang, Weilin...... 39•69 J Jin, Dakai...... 39•64•83 Karayumak, Suheyla Cetin...... 59 King, Andrew...... 6•40•72•80 Kudo, Akira...... 174 Huang, Xiaolei...... 6•53 J, Vijayananda...... 58 Jin, Lili...... 124 Karck, Matthias...... 88 Kirchhoff, Chlodwig...... 76 Kuhl, Christiane...... 38•79 Huang, Xiaolin...... 65 Jackson, Pamela...... 156 Jin, Qinhua...... 122 Kardon, Randy H...... 184 Kirchhoff, Sonja...... 76 Kuijper, Arjan...... 103 Huang, Xiaoying...... 117 Jacob, Fabian...... 73 Jin, Taisong...... 102 Kariki, Eleni P...... 169 Kirk, Gregory...... 138 Kulhare, Sourabh...... 131 Huang, Y...... 118 Jacob, Helder...... 85 Jin, Wen...... 190 Karimi, Davood...... 41•67 Kirschke, Jan...... 72•73•147•167 Kumar, Ashnil...... 52 Huang, Yangsibo...... 187 Jafari, Mohammad...... 65•74 Jin, Xuemin...... 185 Kashani, Amir...... 73 Kitasaka, Takayuki...... 69•195 Kunda, Mwiza...... 144 Huang, Yi-Jie...... 68 Jagadeesan, Jayender...... 64•85 Jin, Yueming...... 44•78•89 Katramados, Ioannis...... 63 Kitsuregawa, Masaru...... 91 Kundu, Prantik...... 72 Huang, Yibin...... 44•85 Jager, H. Rolf...... 122 Jing, Jing...... 122 Kats, Eytan...... 70 Klaiman, Eldad...... 50 Kunze, Holger...... 85 Huang, Ying...... 68 Jahanifar, Mostafa...... 53 Jodoin, Pierre-Marc...... 68 Katzmann, Alexander...... 125 Klaser, Kerstin...... 133 Kuo, Jong Yih...... 54 Huang, Yixing...... 175 Jahanshad, Neda...... 125 Johnson, Charles...... 156 Kaufer, Daniel...... 54 Klausner, Guillaume...... 70 Kurazume, Ryo...... 187 Huang, Yongchao...... 156 Jalaboi, Raluca...... 80 Johnson, Emily...... 89 Kaur, Barleen...... 137 Klein, Geoff...... 167 Kurc, Tahsin...... 50•178 Huang, Yongxiang...... 51 Jamaludin, Amir...... 169 Johnson, Hans...... 156 Kaur, Prabhjot...... 75 Klein, Jan...... 170 Kurmann, Thomas...... 75•82 Huang, Yue...... 116 Jamart, Kevin...... 114 Johnson, Patricia M...... 174 Kavan, Ladislav...... 62 Klein, Stefan...... 41•61•124 Kurmukov, Anvar...... 143•189 Huang, Yumin...... 117 Jambawalikar, Sachin...... 138 Joldes, Grand...... 112 Kawachiya, Kiyokuni...... 65 Klenzner, Thomas...... 87 Kurose, Yusuke...... 38•83•91 Huang, Zhi...... 80 Jang, Ikbeom...... 154 Jones, Andrew...... 131 Kazanzides, Peter...... 43•86 Kletz, Sabrina...... 120 Kurugol, Sila...... 76 Huang, Zhongwei...... 124•142 Jannin, Pierre...... 6•129 Jones, Katie...... 41•50 Kazi, Anees...... 4•79•84 Klinkhammer, Barbara...... 51 Kurzendorfer, Tanja...... 115 Huff, Denver...... 171 Janopaul-Naylor, James...... 83 Joshi, Anand...... 59 Kazihise, Ntikurako Guy-Fernand. 60 Klose, Tim...... 133 Kushibar, Kaisar...... 145 Huh, Jaeyoung...... 44•92 Janve, Vaibhav...... 54 Joshi, Arjun...... 87 Keegan, Jennifer...... 60 Knegt, Stefan...... 77 Kuzina, Anna...... 156 Huh, Youngmin...... 53 Jarmain, Tory...... 77 Joshi, Sarang...... 189 Kendall, Giles...... 69 Knoll, Florian...... 174 Kwok, Ka-Wai...... 186 Huisman, Henkjan...... 77 Jarnagin, William...... 53 Joshi, Shantanu...... 55 Kenneth, Shroyer...... 50 Knott, Graham...... 69 Kwon, Doyoung...... 83 Hung, Sheng-Che...... 59 Jedynak, Bruno...... 41•70 Joskowicz, Leo...... 1•4•88 Kenngott, Hannes...... 191 Ko, Ching-Chang...... 90 Kwon, Gihyun...... 58 Hunt, Margie...... 186 Jenkinson, Mark...... 67 Jouny, Christophe...... 89 Kent, James...... 156 Koch, Kevin...... 74 Köthe, Ullrich...... 191 Huo, Bingxing...... 189 Jensen, Martin...... 80 Joutard, Samuel...... 70•74 Kerfoot, Eric...... 133•137 Kodym, Oldřich...... 169 Huo, Jiayu...... 88 Jeong, Sungmoon...... 83 Joyce, Thomas...... 134 Kern, Christoph...... 137 Koehler, Niklas...... 53 L Huo, Qiang...... 136 Jespersen, Sune...... 58 Ju, Hanqiu...... 82 Kersten, Marta A...... 119 Koerkamp, Bas Groot...... 53 Ladjal, Hamid...... 112 Huo, Quan...... 80 Jesson, Andrew...... 81 Ju, Lie...... 83 Kervadec, Hoel...... 67•70 Koerzdoerfer, Gregor...... 56 Lahiani, Amal...... 50 Huo, Yuankai...... 54•59 Ji, Jim Xiuquan...... 76 Juarez, Antonio Garcia-Uceda..... 61 Keynton, Robert...... 83 Kofler, Florian...... 55•73•100 Lalande, Alain...... 68•187 Huo, Zhimin...... 74 Ji, Rongrong...... 102•151 Jud, Christoph...... 125•162 Khakzar, Ashkan...... 84 Kogkas, Alexandros...... 43•86 Lalonde, Rodney...... 82 Hussain, Mohammad Arafat...... 71 Ji, Yuanfeng...... 81 Judge, Thierry...... 68 Khalifeh, Hadil Abu...... 83 Kohl, Simon...... 56 Lamata, P...... 117 Hussain, Raabid...... 187 Ji, Zhanghexuan...... 68•84 Juhl, KA...... 113 Khalili, Nadieh...... 42•70 Kohl, Simon A...... 190 Lamata, Pablo...... 115•137 Hutter, Jana...... 179•193 Jia, Dongya...... 136 Jung, Kyu-Hwan...... 71 Khamzin, S...... 114 Kokh, Vladimir...... 78 Lamb, James...... 186 Hutton, Brian...... 133 Jia, Fucang...... 120•187 Jung, Wonsik...... 59 Khamzin, Svyatoslav...... 116 Kolen, Alexander F...... 43•86 Lan, Hengrong...... 40•49 Huynh, Khoi...... 57 Jia, Haozhe...... 69 Jungo, Alain...... 66 Khan, Ali...... 5 Koltukluoğlu, Taha Sabri...... 91 Landman, Bennett...... Hwang, Jenq-Neng...... 123 Jia, Pengfei...... 66 Jäger, Paul...... 56•190 Khan, Shadab...... 64 Komura, Taku...... 78 ...... 54•59•82•145•179•197 Hänsch, Annika...... 170 Jia, Qianjun...... 68 Jäger, Rolf...... 55 Khan, Shujaat...... 44•92 Kondrateva, Ekaterina...... 156 Landman, Bennett A...... 154 Hütel, Michael...... 143•144 Jia, Weiping...... 66 Jørgensen, Dan...... 80 Khanal, Bidur...... 167 Kong, Bin...... 50•90 Lane, Chris...... 55 Jia, Xiaoqian...... 76 Khanal, Bishesh..... 44•58•90•91•167 Kong, Dehan...... 78 Lanfredi, Ricardo Bigolin...... 84 I Jia, Xun...... 91•187 K Khoo, Can Son...... 75 Kong, Peiyao...... 132 Langbehn, Douglas...... 156 Igarashi, Takeo...... 86 Jian, Wanwei...... 82 Kadir, Timor...... 169 Khosravan, Naji...... 67•138 Kong, Xianglong...... 136 Langford, Johanne...... 4 Igel, Christian...... 65•170 Jiang, Bonan...... 51 Kadkhodamohammadi, Abdolrahim Khullar, Somesh...... 122 Kong, Youyong...... 63 Lansaque, Antonio Esteban...... 195 Iglesias, Juan...... 54 Jiang, Dashan...... 187 ...... 129 Kia, Seyed Mostafa...... 170 Konrad, Peter...... 87 Lao, Qicheng...... 41•50 Iglesias, Juan Eugenio...... 6 Jiang, Gaoyuan...... 117 Kaethner, Christian...... 85 Kickingereder, Philipp...... 56 Konukoglu, Ender...... 69•70•188 La Rosa, Francesco...... 4 Iho, Junichi...... 38•83 Jiang, Gongfa...... 76 Kahl, Fredrik...... 62 Kim, Boah...... 70 Koohbanani, Navid Alemi...... 53 Larrazabal, Agostina...... 41•68 Ihsani, Alvin...... 115 Jiang, Hongxiu...... 136 Kahn, Andrew...... 44•88 Kim, Byeol...... 90 Koomar, Tanner...... 156 Larson, Paul...... 87 Ijurra, Oihane Mayo...... 139 Jiang, Jue...... 67 Kainz, Bernhard..... 6•58•90•126•128 Kim, Chiheon...... 63 Kopaczka, Marcin...... 133 Lartaud, Pierre-Jean...... 70 Ijzermans, Jan N.M...... 53 Jiang, Kui...... 115 ...... •132 Kim, Daeseung...... 85•89 Kordon, Florian...... 85 Lasko, Thomas...... 82 Ikram, M. Arfan...... 41•54•59•61 Jiang, Meng...... 89 Kakani, Nirmal...... 87 Kim, Daeshik...... 58 Korthauer, Laura...... 91 Lasowski, Ruxandra...... 85 Ilyas, Mohammad...... 68 Jiang, Shilu...... 184 Kalia, Megha...... 120 Kim, Dong Hwan...... 70 Kortuem, Karsten...... 79•137 Laurenson, David...... 81 Imai, Haruki...... 65 Jiang, Steve...... 76•91•186•187•197 Kalra, Mannudeep...... 39•76 Kim, Eunkyung...... 53 Kotecha, Gopal...... 81 Laurienti, Paul...... 54 Imani, Vandad...... 155 Jiang, Tao...... 139 Kam, Michael...... 43•92 Kim, Heejong...... 179•180 Kowarschik, Markus...... 85 Law, Meng...... 82 Ingala, Silvia...... 55 Jiang, Tianzi...... 104 Kam, Tae-Eui...... 57•59 Kim, Ildoo...... 63 Koyama, Yasushi...... 38•83 Lazar, Jack...... 131 Ingalhalikar, Madhura...... 60•139 Jiang, Tingting...... 44•85 Kamba, Shunsuke...... 137 Kim, Jaeil...... 6•83•110 Kozerke, Sebastian...... 134 Lazaridis, Georgios...... 73 Ioannou, Nikolas...... 38•53 Jiang, Weixiong...... 59 Kamen, Ali...... 6 Kim, Jeremy...... 79 Kraemer, Alwin...... 51 Lazarus, Carole...... 72

207 208 Le, Han...... 50 Li, Heyi...... 81 Li, Zeju...... 61•71 Liu, Chenghao...... 54 Liu, Yiqing...... 195 Luo, Man...... 61 Le, Ngan...... 197 Li, Hongfeng...... 135 Li, Zhang...... 141 Liu, Chi...... 52•75 Liu, Yizhi...... 66•69 Luo, Mingyuan...... 79 Le, Tung...... 65 Li, Hongjia...... 192 Li, Zhen...... 89 Liu, Chuanbin...... 66•81 Liu, Yong...... 78•104•185 Luo, Rui...... 71 Leahy, Richard...... 59•135 Li, Hongming...... 83•195 Li, Zheng...... 74 Liu, Daochang...... 44•85 Liu, Yongbin...... 187 Luo, Tianyou...... 154 Lee, Brian...... 189 Li, Hongsheng...... 76•146•199 Li, Zhenqi...... 136 Liu, Dong...... 41•51•62•64 Liu, Yuan...... 84 Luo, Xinzhe...... 62 Lee, Daniel...... 77 Li, Hongwei...... 73•84•117 Li, Zhixi...... 52 Liu, Dongnan...... 52 Liu, Yucheng...... 138 Luo, Xiongbiao.... 43•86•87•119•120 Lee, David...... 55 Li, Huating...... 66 Li, Zhiyuan...... 84 Liu, Fang...... 54 Liu, Yuhang...... 62 Luo, Yimin...... 115 Lee, Dong Soo...... 53 Li, Huiqi...... 72 Li, Zihao...... 65 Liu, Hailing...... 49•50 Liu, Yujie...... 58•59 Luo, Yufan...... 49 Lee, et al...... 188 Li, Jian...... 59 Li, Zisheng...... 131 Liu, Hang-fan...... 195 Liu, Yulin...... 138 Luo, Zhen...... 112 Lee, Eung-Joo...... 120 Li, Jiangyun...... 60 Li, Ziyu...... 44•85 Liu, Hangfan...... 83 Liu, Zaiyi...... 65•66 Luo. Xinzhe...... 117 Lee, Hakmin...... 83 Li, Jie...... 57•84 Li, Zuoyong...... 183 Liu, Huafeng...... 72•77•135 Liu, Zexiong...... 63 Luong, Christina...... 84 Lee, Hansang...... 125 Li, Kang...... 61•79•133 Lian, Chunfeng...... 59•78•79•90•107 Liu, Hualuo...... 80 Liu, Zhan...... 145 Luthi, Marcel...... 127•190 Lee, Hoileong...... 145 Li, Kendrick...... 142•143 Liang, Dong...... 5•74•174 Liu, Huan...... 194 Liu, Zhiwen...... 54 Lutkenhoff, Evan...... 155 Lee, Hyekyoung...... 53 Li, Lei...... 117 Liang, Huiying...... 62 Liu, Huaqing...... 167 Liu, Zhiyu...... 186 Luu, Khoa...... 197 Lee, Jae-Hyeok...... 83 Li, Linguo...... 89 Liang, Jiajun...... 132 Liu, Jia...... 194 Liu, Zhiyuan...... 72 Lv, Bin...... 184 Lee, June-Goo...... 70 Li, Liu...... 86 Liang, Jianming...... 38•71 Liu, Jianfei...... 51•183•186•187 Lloyd, David...... 90 Lv, Chuanfeng...... 184 Lee, Kit-Hang...... 186 Li, Meng...... 51 Liang, Libin...... 87 Liu, Jiang. 40•49•71•72•182•183•184 Lluch, E...... 114 LY, Buntheng...... 117 Lee, Kyong Joon...... 80 Li, Ming...... 64•77 Liang, Peipeng...... 54 Liu, Jinbo...... 122 Lluch, Eric...... 116 Lyu, Ilwoo...... 54•58•59 Lee, Matthew...... 67 Li, Na...... 65•196 Liang, Peixian...... 64 Liu, Jingen...... 62 Lo, Joseph...... 78 Lyu, Junyan...... 184 Lee, Minho...... 83 Li, Natalie...... 86 Liang, Tianzhu...... 88 Liu, Jingxin...... 68 Lo, Yat-Long...... 186 Lyu, Siwei...... 90 Lee, Seungho...... 71 Li, Pei-Chao...... 86 Liang, Xiao...... 76 Liu, Jingya...... 64 Lo, Yeh-Chi...... 90 López-Linares, Karen...... 122 Lee, Sing Chun...... 89 Li, Qing...... 56•57 Liang, Xiaodan...... 68 Liu, Jiquan...... 119 Loeffler, Maximilian...... 72•167 Löfstedt, Tommy...... 170 Lee, Soochahn...... 69 Li, Qingfeng...... 39•80•81•82 Liang, Yuan...... 68 Liu, Juan...... 74 Loke, Yue-Hin...... 90 Lee, Su-Lin...... 122 Li, Quanchi...... 136 Liang, Yuchao...... 139 Liu, Junjun...... 61 Lomax, Antony J...... 125 M Lee, Yeha...... 71 Li, Quanzheng...... 63•72•135 Liao, Chienhung...... 83 Liu, Kefei...... 54•194 Lombaert, Herve...... 67 Ma, Chunwei...... 68•84 Lee, Young-Sup...... 83 Li, Rui-Qi...... 90 Liao, Haofu...... 40•49•71•74 Liu, Langechuan...... 133 Long, Chengnian...... 134 Ma, Congbo...... 77 Le Folgoc, Loic...... 114 Li, Rui...... 123 Liao, Hongen...... 5•119•194 Liu, Li...... 49•88 Long, L.Rodney...... 53 Ma, Jianhui...... 187 Legay, Alexandre...... 115 Li, Ruoteng...... 78 Liao, Zhibin...... 65•74•84 Liu, Lihao...... 62•156 Long, Yong...... 74•175 Ma, Jun...... 145•148 Legget, ME...... 113 Li, Shaohua...... 78•185 Licandro, Roxane...... 4•193 Liu, Lijuan...... 161 Lorenz, Cristian...... 68 Ma, Kai...... 39•62•63•79•80•167 Legouhy, Antoine...... 69 Li, Shaowu...... 139 Liebschner, Michael A.K...... 85 Liu, Lili...... 135 Lorenzi, Marco...... 57•73 Ma, Ming...... 189 Lei, Baiying...... Li, Shaoyuan...... 134 Lim, Sungbin...... 63 Liu, Lizhi...... 67 Lou, Min...... 38•82 Ma, Qianli...... 64 ...... 54•124•132•142•182•183•185 Li, Shengli...... 89•132 Lim, Sungjun...... 175 Liu, Manhua...... 125 Lou, Xiaoying...... 49•50 Ma, Ruibin...... 44•90 Lei, Haijun...... 54•124•142 Li, Shiqi...... 142 Lin, Chunze...... 133 Liu, Mingxia...... Lovell, Brian...... 51•52 Ma, W...... 118 Lei, Na...... 189 Li, Shuo...... Lin, Dan...... 81 ...... 6•40•55•78•79•90•102•107•172 Lu, Feng...... 63 Ma, Wenao...... 63•116•145 Lei, WenHui...... 127•128 ...... 4•40•49•60•63•64•71•72•77•167 Lin, Darryl...... 133 Liu, Mingyuan...... 145 Lu, Haiping...... 144 Ma, Xinjun...... 60 Lei, Yang...... 186•187 Li, Siyi...... 57 Lin, Di...... 81 Liu, Ning...... 192 Lu, Hao...... 50 Ma, Yuexin...... 77 Lekadir, K...... 118 Li, Teng...... 186•187 Lin, Fanchao...... 66 Liu, Pan...... 73 Lu, Jen-Tang...... 81•186 Ma, Zili...... 190 Lekadir, Karim...... 6•116 Li, Tengfei...... 154 Lin, Haojie...... 102 Liu, Peifang...... 61 Lu, Jiwen...... 133 MacGillivray, Tom...... 182 Lemaitre, Paul...... 190 Li, Tingtao...... 192 Lin, Haotian...... 89 Liu, Peng...... 50 Lu, Junfeng...... 79 Macia, Ivan...... 122 Lemasson, Benjamin...... 55 Li, Weijian...... 49 Lin, Hongxiang...... 154•174 Liu, Qiang...... 122 Lu, Le...... 39•64•83•124 Madabushi, Anant...... 84•166 Lemaître, Paul...... 137 Li, Weisheng...... 66 Lin, Huangjing...... 50•51 Liu, Qianyu...... 52 Lu, Lyujian...... 57 Mader, Alexander...... 68 Leng, Tuo...... 56•128 Li, Wenqi...... 61 Lin, Lanfen...... 78 Liu, Qiegen...... 40•65•74 Lu, Quanmao...... 122 Madsen, Dennis...... 127•190 Leo, Andrea...... 137 Li, Xi...... 195 Lin, Liang...... 62 Liu, Qin...... 66 Lu, Shao-Lun...... 186 Maeda, Eriko...... 136 Leonard, Simon...... 43•92 Li, Xia...... 71 Lin, Ming De...... 63 Liu, Qingping...... 74 Lu, Su...... 57 Maeder, Anthony...... 136 Leopold, Jane...... 44•88 Li, Xiang...... 62•72•135 Lin, Muqing...... 88 Liu, Shengnan...... 123 Lu, Weiguo...... 60•187 Maes, F...... 117 Leow, Alex...... 91 Li, Xianjun...... 84 Lin, Peter...... 115 Liu, Shiyuan...... 37 Lu, Yao...... 76 Maes, Frederik...... 67•114•128•186 Lepetit, Vincent...... 56 Li, Xiao...... 68 Lin, Shan...... 135 Liu, Shuangjun...... 86 Lu, Yi...... 50 Maffei, Chiara...... 152 Lerousseau, Marvin...... 70 Li, Xiaojie...... 90 Lin, Sheng...... 192 Liu, Shuolin...... 186•187 Lu, Yihuan...... 75 Mahapatra, Dwarikanath...... 82 Lettow, Iris...... 170 Li, Xiaomeng...... 60 Lin, Wei-An...... 40•74 Liu, Shuting...... 195•196 Lu, Zhiyong...... 77•106 Mahjoub, Mohamed Ali...... 55 Leung, Kevin...... 190 Li, Xiaoxiao...... 57•77 Lin, Weili...... Liu, Sijie...... 182•183 Lu, Zhufu...... 128 Maier, A...... 118 Levchenko, Egor...... 144 Li, Xirong...... 50•78•185 ...... 42•56•57•58•59•72•74•75•81•126 Liu, Siyuan...... 74 Lucas, Christian...... 178 Maier, Andreas...... Lewis, John...... 155 Li, Xiuli...... 62 Lin, Yi...... 62•167 Liu, Tao...... 51•117•183 Lucena, Oeslle...... 180•181 ...... 43•56•63•81•85•89•116•134 Li, Annan...... 184 Li, Xu...... 189 Lin, Zhiyong...... 148 Liu, Tian...... 186•187 Luengo, Imanol...... 129 Maier, Andreas K...... 174 Li, Aojie...... 125 Li, Xue...... 90 Lin, Zhouchen...... 71 Liu, Tianchi...... 131 Lukaschuk, Elena...... 73 Maier-Hein, Klaus...... 6•137 Li, Bo...... 41•61 Li, Yamin...... 89 Lin, Ziduo...... 134 Liu, Tianming. 2•3•4•5•57•68•135•194 Lukoyanov, Artem...... 51 Maier-Hein, Klaus H.. 56•72•148•190 Li, Chao...... 73 Li, Yi...... 127•167 Lindner, Thomas...... 122 Liu, Xi...... 79 Luna, Miguel...... 52 Maier-Hein, Lena. 88•93•129•149•191 Li, Cheng...... 40•65•66•67•74 Li, Yiming...... 139 Linguraru, Marius G...... 154 Liu, Xiaopeng...... 60 Lung, Phillip...... 126 Majumdar, Sharmila...... 82 Li, Debiao...... 72 Li, Yingwei...... 77 Linguraru, Marius George...... 195 Liu, Xinfeng...... 67 Luo, Chengsi...... 136 Makhro, Asya...... 53 Li, Dengwang...... 56 Li, Yingzhou...... 78 Link, Thomas...... 147 Liu, Xing...... 139 Luo, Chunlong...... 49•61 Makin, Stephen...... 78 Li, Fengyi...... 148 Li, Yinzheng...... 190 Linte, Cristian...... 6•119 Liu, Xinglong...... 82 Luo, Gongning...... 49•116•145 Maksoud, Sam...... 52 Li, Gang. 5•42•56•58•59•81•126•145 Li, Yiran...... 74 Lipkova, Jana...... 55 Liu, Xingtong...... 89•195 Luo, Guojie...... 192 Mallya, Yogish...... 58 Li, Gongjie...... 51 Li, Yuemeng...... 83 Lisowska, Aneta...... 127 Liu, Xiyao...... 49 Luo, Jie...... 41•64•190 Manakov, Ilja...... 137 Li, Guanbin...... 61•62 Li, Yuexiang...... 79•135 Liu, Bo...... 52•63 Liu, Xuechen...... 60 Luo, Jiebo...... 40•49•71•74 Manivannan, Siyamalan...... 89 Li, Guoshi...... 56•58•59 Li, Yueyuan...... 44•89 Liu, Bozhi...... 68 Liu, Yalong...... 84 Luo, Limin...... 40•72 Manjon, Jose...... 56 Li, Han...... 71 Li, Yufeng...... 167 Liu, Chang...... 76 Liu, Yashu...... 116 Luo, Ling...... 62 Manjunath, B.S...... 155 Li, Hancong...... 54•124•142 Li, Yuxi...... 63 Liu, Chaoyue...... 88 Liu, Yihao...... 41•70 Luo, Luyang...... 50•51 Mansencal, Boris...... 56 Li, Haojiang...... 67 Li, Yuxing...... 54 Liu, Cheng-Lin...... 66 Liu, Yilin...... 138 Luo, Ma...... 87 Mansi, T...... 113

209 210 Manzoor, Komal...... 142 Meyer, Maria Ines...... 170 Mousavi, Parvin...... 190 Nguyen, Hien V...... 164•197 Ossenberg-Engels, Julius...... 115 Patel, Vishal...... 164•197 Mao, Ronghu...... 186•187 Mi, Yanan...... 122 Moussa, Amr...... 54 Nguyen, Hien Van...... 6 Ostadabbas, Sarah...... 86 Pati, Dibyajyoti...... 192 Mao, Xiaoqian...... 184 Miao, Rulin...... 44•85 M S, Vidya...... 58 Nguyen, Kevin P...... 125 Otake, Yoshito...... 169 Patra, Arijit...... 90 Mao, Yunxiang...... 77 Miao, Shun...... 83 Mu, Guangrui...... 148 Nguyen, Thanh D...... 79 Ou, Yangming...... 67 Patwari, Mayank...... 175 Marafioti, Teresa...... 53 Michaelson, Jacob...... 156 Muehlematter, Urs...... 70 Nguyen, Tien Zung...... 153 Ourselin, Sebastien. 51•55•61•62•66 Paulsen, RR...... 113 Marchwiany, Maciej...... 169 Michalski, Andrew...... 169 Mufti, Nada...... 69 Nguyen, Viet-Duy...... 49 .... •69•70•73•74•87•122•133•134•138 Pawar, Vijay...... 53 Marinescu, Razvan...... 57 Michalski, Mark...... 81•115 Muhammad, Hassan...... 53 Ni, Bingbing...... 89 ...... •143•144•170 Pawlak, Mikolaj A...... 156 Marinescu, Razvan V...... 124•194 Middel, Luise...... 195 Muhlberg, Alexander...... 125 Ni, Dong...... 5•42•79•88•89•117 Ouyang, C...... 118 Pawlowski, Nick...... 132 Marinho, Murilo M...... 129 Miga, Michael...... 87 Mukhopadhyay, Anirban...... Ni, Zhenliang...... 90 Ouyang, Cheng...... 40•63•73•116 Payer, Christian...... 67•147 Markiewicz, Pawel...... 133 Mihalik, Agoston...... 154 6•43•87•103•129 Niazi, Tamim...... 139 Ouyang, Jiahong...... 174 Pedoia, Valentina...... 82 Marks, Jeffrey...... 78 Mill, J...... 113 Mukuta, Yusuke...... 38•83 Nickisch, Hannes...... 83 Ouyang, Xi...... 67 Peng, Bo...... 194 Marlow, Neil...... 144 Mill, Jordi...... 116 Mulay, Supriti S...... 135 Nicolaes, Joeri...... 167 Owen, David...... 69 Peng, Cheng...... 167 Marquand, Andre...... 170 Miller, Karol...... 112 Muller-Stich, Beat...... 191 Nie, Dong...... 75•138 Oxtoby, Neil...... 57•58•154 Peng, Jin...... 80 Marr, Carsten...... 52•53 Miller, Michael...... 189 Mulpuri, Kishore...... 78 Nie, Feiping...... 58 Oxtoby, Neil P...... 124 Peng, Qinmu...... 195 Martel, Anne..... 4•6•79•115•137•167 Milletari, Fausto...... Mulyadi, Ahmad Wisnu...... 59 Nie, Xinyu...... 59 Oyarzun Laura, Cristina...... 195 Peng, Tingying...... 52•53 Martin, Alastair...... 87 ...... 70•105•128•131•134•137 Mungi, Kwon...... 52 Niederer, Steven...... 115 Ozbulak, Utku...... 82 Peng, Wen...... 88 Martin-Isla, C...... 118 Millin, Rachel...... 131 Munk, Marion...... 75 Nielsen, Mads...... 138•170•189 Ozenne, Brice...... 55 Peng, Yifan...... 77•106 Martin-Isla, Carlos...... 116 Milot, Laurent...... 79 Murphy, Veronica...... 72 Nielsen, Poul...... 112 O’Brien, Hugh...... 115 Peng, Ziwen...... 54•124 Martinez, Cesar...... 41•68 Min, Huaqing...... 49 Murugesan, Balamurali...... 174 Nielsen, Rune...... 41•56 O’Donnell, Lauren...... 59 Pennec, Xavier...... 189 Mass, Paige...... 90 Min, Zhe...... 88 Mussabaeva, Ayagoz...... 143•189 Niessen, Wiro. 41•54•59•61•168•171 O’Donnell, Lauren J...... 100 Pepe, Antonio...... 43•91 Massey, Susan C...... 156 Miranda, Elena...... 53 Mwikirize, Cosmas...... 86 Niethammer, Marc...... 61•64 O’Neil, Alison...... 127 Pereanez, Marco...... 75•80 Masutani, Yoshitaka...... 180 Misawa, Kazunari...... 133 Mylonas, George...... 43•86 Nikiforaki, Katerina...... 82 O’Neill, Mark...... 115 Perek, Shaked...... 83 Matejek, Brian...... 49 Miserocchi, Anna...... 87 Mylonas, Georgios...... 184 Nikitichev, Daniil I...... 154 O’Regan, Declan...... 40•73 Perez, Daniel A...... 195 Mateus, Diana...... 76•82•127 Mitarai, Midori...... 52 Myronenko, Andriy...... 115 Ning, Xia...... 194 Perez, Leonel...... 89 Mathai, Tejas Sudharshan...... 71 Mitra, Partha...... 189 Müller, Klaus-Robert...... 170 Nishimura, Kazuya...... 51 P Perone, Christian...... 192 Mathieu, Evelien...... 134 Miyamoto, Tadashi...... 137 Müller-Fourage, Florian Nicolas . 133 Nishio, Kohei...... 195 Pace, Danielle...... 4 Perslev, Mathias...... 65 Mato, David Garcia...... 4 Miyauchi, Shoko...... 187•195 Mürner-Lavanchy, Ines...... 154 Nishizawa, Keisuke...... 38•83 Pacheco, Carolina...... 91 Pesteie, Mehran...... 65•86 Matsuzoe, Hiroshi...... 195 Mnejja, Wafa...... 187 Nittka, Mathias...... 56 Paddick, Ian...... 61 Peters, Terry...... 4•5•81•86 Mattay, Venkata S...... 57 Moceri, P...... 113 N Niu, Chaoshi...... 69 Padoy, Nicolas...... 87•129 Petersen, Jens...... 56•100 Matthew, Jacqueline.... 44•58•90•91 Moceri, Pamela...... 114 Nacewicz, Brendon...... 138 Noah, Yohan...... 115 Paeng, Kyunghyun...... 39•65 Petersen, Marvin...... 170 Matthews, Paul M...... 63 Modat, Marc...... 62•70•74•138•170 Nachev, Parashkev. 72•122•133•138 Noble, Alison...... 44•88•90•195 Paetzold, Johannes...... 73 Petersen, Steffen...... 41•63•73•75 Matwin, Stan...... 81 Moe, Kris...... 135 Nadar, Mariappan...... 67 Noble, Stephanie...... 143 Pai, Akshay...... 65•138•170 Petit, Antoine...... 43•88 Matzek, Samuel...... 65 Mohammed, Shahed...... 41•67•75 Naidu, Raghavendra Srinivasa..... 86 Noh, Kyoung Jin...... 69 Painchaud, Nathan...... 68 Pfefferbaum, Adolf...... 142•143 Mauger, C...... 113 Mohiaddin, Raad...... 60 Nailon, Bill...... 81 Noh, Yohan...... 44•91 Paiva, Jose...... 73 Pfeiffer, Micha...... 88 Maurus, Stefan...... 125 Mohr, Catherine...... 36•43 Nair, Tanya...... 190 Nolden, Marco...... 100 Pak, Linda M...... 53 Pfeuffer, Josef...... 56 Mawn, Louise...... 82 Mohy-ud-Din, Hassan...... 139 Nakamura, Shota...... 52 Norenberg, Dominik...... 125 Palagyi, Kalman...... 49 Pfister, Hanspeter...... 49 Mayer, Carola...... 170 Moin, David Anssari...... 66 Nalar, A...... 113 Nosher, John L...... 86 Palande, Sourabh...... 54 Phellan, R...... 122 Mazurowski, Maciej...... 78 Mojica, Mia...... 115 Nalar, Aaqel...... 114 Nowicka, Hanna...... 156 Palm, Christoph...... 195 Phellan, Renzo...... 122 McCouat, James...... 169 Monteiro, Miguel A.B...... 177 Namburete, Ana Ineyda...... 67 Nowinski, K. S...... 131 Palombo, Marco...... 75•179 Pick, Christian...... 134 Mcevoy, Andrew W...... 87 Montillo, Albert...... 125 Nan, Yang...... 148 Nowinski, Krzysztof...... 169 Pan, Chengwei...... 61 Piechnik, Stefan...... 73•75•80 Mcgill, Sarah...... 44•90 Moon, Niall...... 73 Nandakumar, Naresh...... 142 Nowosielski, Jędrzej...... 169 Pan, Gang...... 58 Piella, Gemma...... 76•195 McGinnity, Colm J...... 133 Moradi, Mehdi...... 64•106 Narayanan, Priya...... 53 Nørgaard, Martin...... 55 Pan, Siyuan...... 66 Pienn, Michael...... 67 McKinley, Richard...... 154 Morales, Araceli...... 195 Nardelli, Pietro...... 70 Pan, Yini...... 135 Pietraszek, Agnieszka...... 156 McLeod, Jonathan...... 119 Morales, H...... 114 Nardin, Marco...... 57 O Pan, Yongsheng...... 78 Pillai, Jay...... 142 McLeod, Kristin...... 131 Morales, Hernán...... 116 Narr, Katherine...... 55 Oda, Hirohisa...... 52•195 Pang, Emily HT...... 41•67 Pillai, Jay J...... 142 Mehanian, Courosh...... 131 Morales, X...... 113 Nash, M...... 113 Oda, Masahiro...... 52•69•120•195 Pang, Yanwei...... 60 Pinheiro, Gustavo Retuci...... 180 Mehta, Raghav...... 137•177•190 Morcillo, CI...... 118 Nash, Martyn...... 112 Oehme, Florian...... 87 Paniagua, Beatriz...... 189 Pinto, Joel...... 81 Meining, Alexander...... 86 Morcillo, Cristian Izquierdo...... 116 Nassar, Jannette...... 70 Oeltze-Jafra, Stef-fen...... 171 Papadakis, Georgios...... 82 Pisov, et al...... 188 Melbourne, Andrew... 6•69•143•144 Morel-Forster, Andreas...... 127 Nath, Vishwesh...... 54•59 Ogino, Masahiro...... 131 Papadakis, Nicolas...... 78 Pisov, Maxim...... 189 ...... •193 Morell, Pere Planell...... 57 Navab, Nassir...... 43•50•52•53•60•76 Ogunmolu, Olalekan...... 187 Papageorghiou, Aris...... 44•90 Pizer, Stephen...... 44•90 Mellema, Cooper...... 125 Morgan, Jessica I. W...... 184 ...... •79•83•84•85•89•97•137 Oguz, Ipek...... 58 Papanastasiou, Georgios...... 115 Pizer, Steve...... 72 Menard, David...... 75 Mori, Kensaku. 5•52•69•121•133•195 Nawata, Kan...... 136 Oh, Dong Yul...... 80 Papandreou, Nikolaos...... 38•53 Pizzolato, Marco...... 179 Mendizabal, Andrea...... 43•88•112 Moriconi, S...... 122 Neary-Zajiczek, Lydia...... 53 Oksuz, I...... 113 Papanikolopoulos, Nikolaos...... 128 Pluim, Josien...... 4 Meng, Deyu...... 39•62 Moriconi, Stefano...... 122 Nebel, Mary Beth...... 56 Oksuz, Ilkay...... 40•72•80 Pape, Constantin...... 51 Pohl, Kilian...... 56•142•143 Meng, Max Q.-H...... 88 Moriya, Takayasu...... 52 Negishi, Yasushi...... 65 Oktay, Ozan...... 67 Paragios, Nikos...... 70 Pohl, Kilian M...... 128•154 Meng, Nan...... 74 Morooka, Ken’ichi...... 187•195 Neila, Pablo Márquez...... 75•82 Olivares, A...... 113 Parinussa, Sarah...... 66 Pollastri, Federico...... 153 Meng, Qier...... 185 Mortazi, Aliasghar...... 67 Nempont, Olivier...... 70 Oliveira, Hélder...... 84 Park, Beomhee...... 71 Polvorosa, Cynthia...... 186 Meng, Qingjie...... 132 Mossa-Basha, Mahmud...... 123 Neph, Ryan...... 187 Olivieri, Laura...... 90 Park, Jaechan...... 83 Pombo, Guilherme...... 72 Meng, Wei...... 52 Mostapha, Mahmoud...... 72 Ness, Lior...... 83 Olschewski, Horst...... 67 Park, Sang-Hyun...... 124 Pominova, Marina...... 156 Menon, Bijoy...... 60 Mostofsky, Stewart...... 56 Neubauer, Stefan...... 73•75•80 Olsen, Martin Aastrup...... 80 Park, Sang Hyun...... 52•126 Pop, Mihaela...... 115 Menze, Bjoern. 55•72•73•84•100•117 Motreff, Pascal...... 87 Neuberger, Ulf...... 56 Ono, Minoru...... 136 Park, Sang Jun...... 69 Popescu, Iulia...... 73 ...... •128•139•147•167 Mou, Lei...... 49•182•183•184 Newby, David...... 115 Onofrey, John...... 75 Park, Seong Ho...... 70 Popovic, Aleksandra...... 85 Merhof, Dorit...... 38•51•52•64•79 Mougiakakou, Stavroula...... 70 Nezhadmoghadam, Fahimeh.... 155 Opfermann, Justin...... 43•87•90•92 Park, Seyoun...... 77 Popuri, Karteek...... 41•64 Messinger, Jeffrey...... 52 Mountney, Peter...... 115 NG, Yui-Lun...... 186 Orbes-Arteaga, Mauricio...... 170 Parsi, Bhargav...... 38•82 Porras, Antonio R...... 195 Metaxas, Dimitris...... 5•51•52•67•79 Mountris, KA...... 114 Nguyen, Binh...... 88 Orlando, Jose...... 50 Parvathaneni, Prasanna...... 4•54•59 Posocco, Nicolas...... 168 Meyer, Carsten...... 68 Mountris, Konstantinos A...... 116 Nguyen, Damien...... 125 Orlando, Jos´e Ignacio. 182•183•184 Paschali, Magdalini...... 4•60 Pouchol, Camille...... 175 Meyer, Heiko...... 56 Mourao-Miranda, Janaina...... 154 Nguyen, Dan..... 76•91•164•186•187 Orozco, Jorge A...... 155 Patel, Uday...... 126 Pourtaherian, Arash...... 66

211 212 Powers, Alexander...... 156 Raju, Balasundar...... 86 Rivaz, Hassan...... 6•81•150 Saltz, Joel...... 50 Schworm, Benedikt...... 137 Shen, Yan...... 84 Pozidis, Haralampos...... 38•53 Rak, Marko...... 81 Rivoir, Dominik...... 130 Samaras, Dimitris...... 50 Schöll, Michael...... 62 Shen, Yiran...... 61 Pozo, Jose M...... 58•77•169 Ram, Keerthi...... 135 Ro, Yong Man...... 83 Samek, Wojciech...... 170 Schönlieb, Carola-Bibiane...... 73 Shenas, Farhad Yazdan...... 170 Precup, Doina...... 55•59•137 Ramalhinho, João...... 131 Robert, Charlotte...... 70 Samset, Eigil...... 131 Schüler, Julia...... 52 Sheng, Bin...... 66 Preiswerk, Frank...... 41•64 Ramien, Gregor N...... 190 Robinson, Emma...... 90•193 Sanchez, Carles...... 195 Scott, Matthew...... 39•69 Sheng, Ke...... 68•187 Price, Anthony...... 42•73 Ran, An-Ran...... 50 Robinson, Emma C...... 170 Sanchez, Irina...... 152 Seah, Jarrel...... 82 Sheu, Ren-Dih...... 90 Prieto, Claudia...... 40•72 Randles, Amanda...... 44•88 Robu, Maria...... 88•154 Sandkuehler, Robin...... 162 Sean, Berry...... 67 Shi, Fei...... 183 Prieto, Juan...... 72 Ranjbar, Sara...... 156 Roc, Axel...... 168 Sanfort, Veit...... 77•80 Sebastian, R...... 114 Shi, Feng...... 6•39•80•81•82 Prince, Jerry...... 41•58•70•133•134 Rao, Nini...... 136 Rodrigues, Pedro...... 119 Sanghvi, Mihir...... 73 Sebastian, Rafa...... 116 Shi, Gonglei...... 71 Prisman, Eitan...... 86 Rao, Pramod P...... 88 Rodrigues, Yriu...... 85•89 San José, Raúl...... 122 Sedai, Suman...... 41•50 Shi, Guohua...... 81 Privalov, Maxim...... 85 Rathi, Yogesh...... 59 Rohling, Robert...... 65•74•75•84•92 Santos, Edgar...... 129 Sedghi, Alireza...... 41•64•190 Shi, Harvey...... 44•88 Prokopenko, Denis...... 187 Rathore, Archit...... 54 Rohm, Markus...... 137 Santosh, Vani...... 139 See, Simon...... 60 Shi, Jialin...... 60 Przybyszewski, Przemyslaw...... 131 Rathore, Saima...... 139 Rokem, Ariel...... 85 Sao, Anil Kumar...... 75 Seeb¨ock, Philipp...... 184 Shi, Jun...... 5•51•74 Ps, Viswanath...... 75 Ratner, Alexander...... 42•92 Romero, Adriana...... 55 Sapp, John L...... 91 Seegoolam, Gavin...... 42•73 Shi, Kuangyu...... 84 Puchta, Henrike...... 73 Rau, Anita...... 154 Romero, Dr...... 84 Sarasua, Ignacio...... 66 Sefati, Shahin...... 87 Shi, Lei...... 131 Pueyo, E...... 114 Rau, Richard...... 40•76•91 Rong, Limin...... 167 Sarhan, Mhd Hasan...... 83•137 Sefati, Shahriar...... 87 Shi, Luyao...... 75 Pueyo, Esther...... 116 Rauter, Georg...... 43•86 Rong, Xianfang...... 50 Saripalli, Venkata R...... 192 Sehnert, William...... 74 Shi, Peiwen...... 182•183 Pushparajah, Kuberan...... 115 Ravikumar, N...... 118 Rosenman, Julian...... 44•90 Sarry, Laurent...... 87 Sekuboyina, Anjany.... 72•73•84•147 Shi, Wenlong...... 89 Puybareau, E...... 117 Ravikumar, Nishant...... 63•81•116 Ross, Tobias...... 88 Sato, Yoshinobu...... 169 ...... •167 Shi, Xiaoshuang...... 53 Puyol-Anton, Esther...... 40 Ravishankar, Hariharan...... 79 Rost, Natalia...... 57 Satoh, Shin’ichi...... 185 Sellars, Philip...... 78 Shi, Yiyu...... 68•89•192 Péry, Émilie...... 87 Raviv, Tammy Riklin...... 56 Roth, H...... 118 Satoh, Shin’Ichi...... 91 Semple, Scott...... 115 Shi, Yonggang...... 55•59•73 Pölsterl, Sebastian...... 55 Ravì,, Daniele...... 58 Roth, Holger. 52•70•115•116•128•134 Savaria, Yvon...... 192 Seo, Hirofumi...... 86 Shi, Zhenwei...... 139 Ray, Stuart...... 134 Rother, Carsten...... 191 Saykin, Andrew...... 54•194 Seong, Jinsil...... 125 Shi, Zhongchao...... 166 Q Ray, Tapabrata...... 122 Rouchaud, Aymeric...... 70 Scalzo, Fabien...... 38•82 Sepahvand, Nazanin Mohammadi.... Shimizu, Akinobu...... 195 Qi, Hong...... 49•71 Rayner, Jennifer...... 73 Rouet, Jean-Michel...... 70 Schaap, Michiel...... 67 ...... 137 Shin, Hoo-Chang...... 105•134 Qi, Jinyi...... 135 Razavi, R...... 113 Rouhier, Lucas...... 192 Schaffert, Roman...... 63 Sepehrband, Farshid...... 179 Shinde, Sumeet...... 60•139 Qi, Kehan...... 65•67 Re, Christopher...... 42•92 Rousseau, David...... 134 Schain, Martin...... 55 Sermesant, Maxime..... 114•115•117 Shinjo, Aoi...... 195 Qi, Xin...... 189 Rebsamen, Michael...... 154 Roussillon, Pierre...... 59 Schawkat, Khoschy...... 70 Shabestari, Behrouz N...... 97 Shinohara, Russell...... 58 Qian, Jikuan...... 42•89 Reese, Timothy...... 154 Rowland, Connor...... 155 Scheffer, Bruno...... 82 Shaffie, Ahmed...... 83 Shirokikh, Boris...... 177 Qian, Long...... 43•86 Reggente, Nicco...... 155 Roy, Abhijit Guha...... 60•66 Scheidegger, Olivier...... 61 Shahin, Ahmed...... 64 Shit, Suprosanna...... 55 Qian, Tianyi...... 139 Rehwald, Rafael...... 122 Roysam, Badri...... 197 Scheinost, Dustin...... 54•143 Shamonin, Denis P...... 123 Shitong, Wang...... 56 Qian, Xiaoning...... 76 Reicher, Murray...... 166 Ruan, Dan...... 68•186 Scheumann, Vincent...... 171 Shan, Caifeng...... 43•86 Shoag, Jonathan...... 138 Qiang, Ning...... 135 Reidelshöfer, Anika...... 81 Rubin, Daniel...... 42•92 Schilling, Kurt...... 54 Shan, Fei...... 44•85 Shojaee, Ali...... 142•143 Qiang, Yan...... 60•81 Reinertsen, Ingerid...... 150 Rueckert, D...... 113•118 Schipper, Jörg...... 87 Shang, Hong...... 78 Shokoufi, Majid...... 52 Qin, Chen...... 40•42•73•114 Reinke, Annika...... 93•127 Rueckert, Daniel. 40•41•42•58•63•72 Schirmer, Markus...... 57 Shang, Yi...... 155 Shrapnel, et al...... 188 Qin, Fangbo...... 135 Rekik, Islem...... 6•39•54•55•124•125 ...... •73•90•114•116•132•133•154•174 Schirmer, Markus D.. 99•142•143•144 Shang, Yuanqi...... 74 Shu, Huazhong...... 63 Qin, Hao...... 42•89 ...... •126•142•143•144 Rueckert, Prof...... 126 Schirrmacher, Franziska...... 56 Shang, Zongjiang...... 50•185 Shu, Minglei...... 136 Qin, Jing...... 5•66•78•187 Rempfler, Markus...... 72 Ruijsink, B...... 113 Schlaefer, A...... 117 Shanis, Zahil...... 137 Shu, Yucheng...... 66 Qin, Wenjian...... 5 Ren, Ge...... 187 Ruijsink, Bram...... 40•72•80•137 Schlanitz, Ferdinand...... 50•184 Shao, Ling...... 49•54•55•60•64•72•90 Siallagan, Dominik...... 90 Qin, Yanguo...... 66 Ren, Hongliang...... 44•89 Rummel, Christian...... 154 Schleer, Philipp...... 85 Shao, Pengfei...... 63 Siddiquee, Md Mahfuzur Rahman.... Qin, Yu...... 54 Ren, Huijing...... 156 Rumple, Ashley...... 72 Schlemper, J...... 118 Shao, Qingbin...... 80 ...... 38•71 Qin, Yulei...... 65 Ren, Jinchang...... 117 Russell, Emily...... 169 Schlemper, Jo. 40•42•72•73•114•116 Shao, Wei...... 80 Sidhu, Baldeep...... 115 Qiu, Anqi...... 6•58 Ren, Yinhao...... 78 Ré, Silvina...... 4 Schmalstieg, Dieter...... 43•91 Shapey, Jonathan...... 61 Sidiropoulos, Anastasios...... 91 Qiu, Guoping...... 68 Ren, Zhiyun...... 194 Rüschoff, Jan Hendrik...... 38•53 Schmermund, Axel...... 81 Sharaev, Maxim...... 156 Sigel, Carlie S...... 53 Qiu, H...... 118 Renaudier, Antonin...... 168 Schmidt-Erfurth, Ursula...... Sharan, Lalith...... 88 Sima, Diana M...... 170 Qiu, Hao...... 184 Renisch, Steffen...... 187 S ...... 50•124•166•182•183•184 Sharma, Arjun...... 68 Simicich, Adriana...... 86 Qiu, Huaqi...... 114•116 Revilla, Enette Mae...... 75 S, Jeevakala...... 135 Schnabel, Julia...... Sharma, Harshita...... 44•90 Simpson, Amber...... 6•53 Qiu, Liang...... 121 Reyes, Delmiro Fernandez...... 53 Saab, Khaled...... 42•92 ...... 4•5•40•44•58•72•80•91•163 Sharma, Neeraj...... 130 Sinclair, Matthew...... 90 Qiu, Shijun...... 58 Reyes, Mauricio..... 39•61•66•69•154 Sabokrou, Mohammad...... 124 Schnabel, Julia A...... 137 Shastry, Arun...... 58 Singh, Munendra...... 130 Qiu, Shuang...... 62 ...... •188 Sabuncu, Mert...... 38•54•77•79 Schneider, Caitlin...... 41•67•75 Shaw, Jaime...... 72 Singh, Ramandeep...... 39•76 Qiu, Wu...... 60 Rhode, Kawal...... 115 Sadafi, Ario...... 53 Schneider, Hannah...... 38•79 Shaw, Mike...... 53 Singleton, Kyle...... 156 Qiu, Zhen...... 182•183 Riaz, Muhammad Naveed...... 134 Sadeghipour, Amir...... 166•184 Schneider, J...... 117 Shekarforoush, Shayan...... 79 Sinha, Ayushi...... 195 Qu, Hui...... 51•52 Richardson, Samuel...... 112 Saeidi, Hamed...... 43•87•92 Schneider, Torben...... 76 Shekhar, Raj...... 195 Sirinukunwattana, Korsuk...... 128 Qu, Liangqiong...... 40•72 Rickman, Jack...... 128 Sagreiya, Hersh...... 42•92 Schnetzke, Marc...... 85 Shen, Chenyang...... 91 Sivaprakasam, Mohanasankar... 135 Quaak, Mirjam...... 170 Rickmann, Anne-Marie...... 66 Sahgal, Arjun...... 167 Schock, Justus...... 52 Shen, Christine...... 51•183 Skalej, Martin...... 171 Quraini, Abood...... 105•137 Rieckmann, Anna...... 55 Sahib, Ashish...... 55 Schoenlieb, Carola...... 78 Shen, Chunhua...... 50 Skandrani, Youssef...... 68 Riediger, Carina...... 88 Saidha, Shiv...... 41•70 Schonfeld, Dan...... 91 Shen, Chunxu...... 44•85 Skelton, Emily...... 44•58•91 R Riedl, Sophie...... 124•182•183 Saini, Jitender...... 60•139 Schrading, Simone...... 38•79 Shen, Dinggang.. 2•3•5•40•42•54•55 Smedby, Örjan...... 83 Rachmadi, Muhammad Febrian. 78 Riedlinger, Gregory...... 51 Sair, Haris...... 142 Schreiber, Frank...... 171 ..•56•57•58•59•72•74•75•78•79•81•88 Smith, Lorna...... 55 Racoceanu, Daniel...... 4 Rieke, Nicola...... 105•137 Sair, Haris I...... 142 Schreiber, Stefanie...... 171 ...... •89•90•107•126•139•145 Smith, Roland Theodore...... 52 Radermacher, Klaus...... 85 Rimner, Andreas...... 67•187 Saito, Atsushi...... 195 Schroeder, Joyce...... 84 Shen, Jianbing...... 54•55•60•64•72 Smith, Ruben...... 62 Rafael-Patino, Jonathan...... 179•180 Rinaldi, Christopher...... 115 Sajeev, Shelda...... 136 Schuh, Andreas...... 67 Shen, Li...... 54•57•142•143•189•194 Sodha, Vatsal...... 38•71 Rahbani, Dana...... 127 Risacher, Shannon...... 54 Sakamoto, Mitsuki...... 169 Schulz, Heinrich...... 187 Shen, Mali...... 65 Sofka, Michal...... 72•131 Rai, Ravneet...... 41•50 Rispoli, Joseph...... 154 Sakuma, Ichiro...... 136 Schuman, Joel...... 41•50•182•183 Shen, Mingren...... 138 Sohail, Muhammad...... 134 Rajani, Ronak...... 115 Ritter, Kerstin...... 155•170 Salcudean, Septimiu...... 41•67•75 Schwab, Yannick...... 51 Shen, Steve G.F...... 85•89 Sokolska, Magdalena...... 69 Rajapakse, Jagath...... 38•82 Rittscher, Jens...... 128 Salehi,, Sadegh...... 72 Schweiger, Martin...... 87 Shen, Tiancheng...... 71 Sokooti, Hessam...... 69 Rajpoot, Nasir...... 53•141 Rivail, Antoine...... 124 Salomir, Rares...... 125 Schweizer, Dieter...... 40•91 Shen, Xilin...... 54 Soliman, Ahmed...... 83

213 214 Solomon, Justin...... 62 Sui, Yao...... 74 Tang, Xiaoying...... 5•6•41•69•184 Tong, Nuo...... 68 van der Steen, A.F.W...... 123 Walker, Danielle...... 199 Solomon, Sharon...... 41•70 Suk, Heung-Il...... 6•38•59•107•110 Tang, Xiongfeng...... 66 Tong, Ruofeng...... 78 Vandersteen, Clair...... 82•92 Walker, Paul Michael...... 187 Solovyova, O...... 114 Sukno, Federico...... 195 Tang, Youbao...... 77•80 Tong, Tien...... 156 Vang, Yeeleng...... 155 Wallace, Janette...... 4•5 Solovyova, Olga...... 116 Sullivan, Edith...... 143 Tang, Yucheng...... 54 Topgaard, Daniel...... 181 van Ginneken, Bram...... 5•103 Wallace, Michael...... 67•82 Sommer, Stefan...... 189 Sullivan, Edith V...... 142 Tang, Yuxing...... 80 Toporek, Grzegorz...... 86 Van Ginneken, Bram...... 70 Wallner, Jürgen...... 43•91 Son, Seoyoung...... 133 Sumiyama, Kazuki...... 137 Tang, Zhenyu...... 79 Torres, Felipe...... 88 van Hal, V...... 113 Walter, Benjamin...... 86 Song, Donghui...... 74 Summers, Ron...... 97 Tang, Zhicheng...... 155 Toth, Daniel...... 115 Van Leemput, Koen...... 170•190 Wan, Qiwei...... 185 Song, Ming...... 66 Summers, Ronald...... 77•80 Tanner, Irene...... 82 Tousignant, Adrian...... 59 van Leemput, Koen...... 190 Wan, Weifeng...... 115 Song, Qi...... 90 Sun, He...... 117 Tanno, Ryutaro...... 55•66•75•190 Toussaint, Nicolas. 44•58•90•91•131 Van Messem, Arnout...... 82 Wang, Angtian...... 77 Song, Tianyu...... 89 Sun, Hui...... 66 Tao, Qian...... 66 Toyonaga, Takuya...... 75 Van Molle, Pieter...... 190 Wang, Bei...... 54 Song, Weinan...... 68 Sun, Jian...... 74 Tao, Qingyi...... 60 Tran, Quang...... 88 van Soest, Gijs...... 123 Wang, Bin...... 80 Song, Xuegang...... 124 Sun, Jun...... 81 Tao, Xiaodong...... 5•39•97 Travlou, Nikolina...... 131 Van Tulder, Gijs...... 61 Wang, Binhua...... 135 Song, Yang...... 52•69 Sun, Peng...... 155 Tao, Xumin...... 117 Treacher, Alex...... 125 van Walsum, Theo...... 123 Wang, Boyang...... 72•90 Soni, Ravi...... 192 Sun, Roger...... 70 Tapert, Susan...... 154 Tregidgo, Henry...... 131 van Wijnen, Kimberlin...... 59 Wang, Chaoli...... 64 Soom, Yannick...... 61 Sun, Ying...... 80 Tardy, Mickael...... 82 Trenor, B...... 114 van Wingen, Guido...... 170 Wang, Cheng...... 65 Sosa, Patricia...... 155 Sun, Zhiyan...... 139 Tariq, Maira...... 154 Tresp, Volker...... 137 Varble, Nicole...... 85 Wang, Chengjia...... 77•115•174 Sotello, Julio...... 115 Sun, Zhongqian...... 78 Tarroni, G...... 118 Triana, Gustavo...... 38•88 Vardhan, Madhurima...... 44•88 Wang, Chenglong...... 69 Soussia, Mayssa...... 125 Surento, Wesley...... 125 Tarroni, Giacomo...... 41•63•116 Tricker, Helen...... 115 Vardhanabhuti, Varut...... 186 Wang, Chunliang...... 83 Španěl, Michal...... 169 Sushchinskaya, Svetlana...... 156 Tasdizen, Tolga...... 64•84 Trivedi, Madhukar H...... 125 Varsavsky, Thomas...... Wang, Dingqian...... 139 Sparks, Rachel...... 87 Suttie, Michael...... 195 Tasian, Gregory E...... 195 Trouve, Alain...... 59 ...... 51•55•72•133•134•138 Wang, Dongdong...... 167 Speidel, Stefanie. 44•87•88•129•130 Suzuki, Kenji...... 5 Tax, Chantal...... 75 Trucco, Emanuele...... 6•127 Vasconcelos, Francisco...... 87 Wang, Duo...... 64 Speier, William...... 38•82 Suzuki, Kojiro...... 195 Taylor, Hoyt...... 57 Truhn, Daniel...... 38•79 Vasconcelos, Nuno...... 71 Wang, Fan...... 59•192 Spincemaille, Pascal...... 79 Suzuki, Yuki...... 169 Taylor, Russ...... 43•87•89 Trzciński, Tomasz...... 131•169 Vasilev, Aleksei...... 180•181 Wang, Fuyu...... 62 Srikaya, Duygu...... 130 Svarer, Claus...... 55 Taylor, Russell...... 195 Tsaftaris, Sotirios. 40•55•115•134•137 Vassallo, Reid...... 119 Wang, Gaoang...... 123 Srivastav, Vinkle...... 87 Svoboda, David...... 133 Tejero-De-Pablos, Antonio...... 38•83 Tsaftaris, Sotirios A...... 113 Veeling, Bastiaan...... 77 Wang, Guangyi...... 82 Srivastava, Shikhar...... 155 Swanson, Kristin...... 156 Tenenholtz, Neil...... 81•115 Tsai, Chiaojung Jillian...... 186 Veeraraghavan, Harini...... 67 Wang, Guangzhi...... 87•129 Staal, Joes...... 169 Swartman, Benedict...... 85 Tezcan, Kerem Can...... 70 Tsang, Terasa...... 65•74•84•92 Velikova, Yordanka...... 89 Wang, Guanhua...... 174 Stadelmann, Jo¨el Valentin...... 187 Syben, Christopher...... 56 Thakkar, Rudrik...... 43•86 Tseng, Chen-Kan...... 39•64 Vemuri, Anant...... 191 Wang, Guijin...... 136 Staib, Lawrence H...... 5 Syeda-Mahmood, Tanveer...... Thakur, Siddhesh...... 177 Tsukihara, Hiroyuki...... 136 Venkataraman, Archana...... Wang, GuoTai...... 127 Stamminger, Marc...... 89 ...... 6•68•106•166 Tham, Clement Chee Yung...... 50 Tu, Liyun...... 195 ...... 6•56•57•89•142•144 Wang, Guotai...... 61•128 Stanisavljevic, Milos...... 38•53 Sznitman, Raphael...... 72•75•82•127 Thamm, Florian...... 56 Turja, Md...... 56•58 Venkataramani, Rahul...... 79 Wang, Haifeng...... 74 Stanton, Douglas...... 85 ...... •128 Thielemans, Kris...... 133 Turk, Elise...... 42•70 Ventola, Pamela...... 57•77 Wang, Haiyu...... 131 Staring, Marius...... 6•41•69 Sørensen, Lauge...... 138•170 Thienphrapa, Paul...... 85 Turk, Esra Abaci...... 62•91•193 Venugopal, Raghavan...... 141 Wang, Hongmei...... 136 Statton, Ben...... 40•73 Sühling, Michael...... 81 Thomalla, Götz...... 170 Tuzhilin, Alexander...... 78 Vercauteren, Tom...... Wang, Hongzhi...... 68•170•171 Stefaniga, Sebastian...... 195 Thomas, Armin W...... 170 Tward, Daniel...... 189 ...... 61•62•69•70•74•87•88•133•163 Wang, Hu...... 77 Stegmaier, Johannes...... 52•133 T Thomas, David...... 134 Tyagi, Neelam...... 67 Verduin, Maikel...... 139 Wang, Hua...... 57 Stember, Joseph...... 138 Ta, Vinh-Thong...... 56 Thomas, Katharine...... 73 Vermuri, Anant...... 129 Wang, Huan...... 127•128•177 Stenin, Igor...... 87 Taghanaki, Saeid Asgari...... 64•79 Thomas, Rajat Mani...... 170 U Vernooij, Meike..... 41•54•59•61•171 Wang, J...... 118 Stephens, Maialen...... 122 Taher, Fatma...... 83 Thomopoulos, Sophia I...... 125 Uchida, Hiroo...... 195 Vesal, S...... 118 Wang, James...... 52 Stepniewska, Iwona...... 54 Tajbakhsh, Nima...... 38•71 Thompson, Paul...... 58•194 Uchida, Seiichi...... 82 Vesal, Sulaiman...... 116 Wang, Jiabing...... 64 Stern, Darko...... 67 Takagi, Shu...... 136 Thompson, Paul M...... 125 Ullah, Ihsan...... 126 Veta, Mitko...... 141 Wang, Jian...... 101 Štern, Darko...... 147 Takakuwa, Tetsuya...... 195 Thompson, Wesley K...... 154 Ulrich, William...... 57 Vetter, Thomas...... 127•190 Wang, Jiancong...... 71 Sterpin, Edmond...... 186 Takao, Masaki...... 169 Thor, Maria...... 187 Umerenkov, Dmitriy...... 78 Vibert, Eric...... 43•88 Wang, Jiannan...... 71 Stevenson, Florence...... 90 Taleb, Hinde...... 129 Thung, Kim-Han...... 54•57•74•89 Unal, Ozan...... 40•91 Vidal, Rene...... 91•134 Wang, Jiao...... 77 Stiles, Martin...... 114 Talou, Gonzalo Maso...... 114 Tian, Chan...... 49 Ünal, Gözde...... 5 Viergever, Max...... 4•5•42•70 Wang, Jiapei...... 185 Stirrat, Colin...... 115 Tam, Edward...... 75 Tian, Jiang...... 148•166 Unberath, Mathias...... 43•85•89 Villafruela, Javier...... 64 Wang, Jiexiang...... 63•116 Stone, Mike...... 131 Tam, Johnny...... 51•183 Tian, Mei...... 192 Upadhyay, Uddeshya...... 75 Villard, Benjamin...... 195 Wang, Jun...... 55•56 Stoyanov, Danail...... 53•87•129 Tamez-Peña, José...... 155 Tian, Yingli...... 64 Urbina, Jesus...... 115 Vishnevskiy, Valery...... 40•76•91 Wang, Kaiwei...... 185 Strandberg, Olof...... 62 Tamplin, Michelle R...... 184 Tian, Yun...... 117 Uribe, Sergio...... 115 Viswanath, Satish...... 84 Wang, Kang...... 184 Strauch, Martin...... 64 Tan, Chaowei...... 79 Tiennot, Thomas...... 115 Urschler, Martin...... 6•67•147 Vivar, Gerome...... 79•84 Wang, Kuanquan...... 49•116 Strenger, Leon...... 88 Tan, Ee-Leng...... 54 Tilborghs, S...... 117 Uzunova, Hristina...... 73 Vlontzos, Athanasios...... 90 Wang, Kun...... 68 Strobel, Norbert...... 85 Tan, Mingkui...... 49•51•182•183 Tilborghs, Sofie...... 114 Vogel, Wolf-Dieter...... 124 Wang, Lei...... 55•189 Strother, Stephen...... 55 Tan, Robby...... 78 Ting, Daniel...... 78 V Vogelsang, Levon...... 74 Wang, Li..... 5•42•56•58•59•79•89•90 Styner, Martin...... 55•56•58•72•189 Tan, Shuhan...... 89 Ting, Daniel Shu Wei...... 185 V, Vishal...... 130 von Bechtolsheim, Felix...... 87•130 ...... •145 Styner, Martin A...... 138 Tan, Tao...... 43•86•141 Tiwari, Pallavi...... 6•84•139•178•197 Vachet, Clement...... 84 Von Berg, Jens...... 68 Wang, Liansheng...... 167•168 Su, Hai...... 53 Tan, Xiaoyu...... 129 Tjio, Gabriel...... 78•185 Vagdargi, Prasad...... 85 von Niederhäusern, Peter A...... 175 Wang, Linwei...... 6•84•91 Su, Jianchao...... 62 Tan, Z...... 113 Tjiputra, Erman...... 88 Vaidya, Jatin...... 156 von Tycowicz, Christoph...... 83•189 Wang, Lisheng...... 68 Su, Juan...... 127 Tanaka, Kiyohito...... 82•91 Toennies, Klaus...... 81 Vakalopoulou, Maria...... 70 Vozila, Paul...... 81 Wang, Meiyun...... 65•66•67 Su, Pan...... 71 Tang, Geyu...... 136 Toews, Matthew...... 41•64 Vakharia, Vejay...... 87 Wang, Miaomiao...... 84 Subramanian, Vaishnavi...... 68 Tang, Hao...... 78 Toga, Arthur W...... 124 Valcarcel, Alessandra...... 58 W Wang, Qian...... Sudhakar, Prasad...... 79 Tang, Lijun...... 63 Tohka, Jussi...... 155 Valdes, Alejandro...... 155 Wachinger, Christian...... 6•55•66 ...... 5•52•56•67•73•79•88•93•139 Sudre, Carole...... 55•134•138•190 Tang, M...... 118 Tokunaga, Youji...... 38•83 Valentinitsch, Alexander...... 72•147 Wade, Ben...... 55 Wang, Qingjun...... 117 Suetens, Paul...... 128 Tang, Mingxuan...... 116 Told, Reinhard...... 166 Valvano, Gabriele...... 137 Wagstyl, Konrad...... 55 Wang, Renzhen...... 39•62 Sugano, Nobuhiko...... 169 Tang, Ruixiang...... 133 Tomii, Naoki...... 136 Valverde, Juan Miguel...... 155 Waker, Danielle...... 199 Wang, Rui...... 44•90 Sugiyama, Masashi...... 41•64 Tang, Sheng...... 80 Ton, Cheng...... 136 van der Laak, Jeroen...... 141 Waldmannstetter, Diana...... 84 Wang, Ruixuan...... 80•89 Suhling, Michael...... 125 Tang, Wenhui...... 122 Tong, Junyi...... 135 Vandermeulen, Dirk...... 67 Waldstein, Sebastian...... 50•184 Wang, Shanshan...... 40•65•66•67•74 Sui, Xiuchao...... 78 Tang, Xiangyu...... 81 Tong, Kai-Yu...... 66 Vanderpoorten, Emmanuel...... 87 Waldstein, Sebastian M...... 124 Wang, Shu...... 115

215 216 Wang, Shuai...... 40•72 Wei, Jun...... 76 Wright, Robert...... 44•58•91 Xie, Jianyang...... 71 Xue, Wufeng...... 42•89•117 Yang, Zhengyi...... 104 Wang, Shujun. 42•60•61•89•133•156 Wei, Shuwen...... 43•92 Wu, Chenyan...... 52 Xie, Keren...... 184 Xue, Yuan...... 53 Yang, Zhikun...... 78 Wang, Shuxin...... 168 Wei, Si...... 167 Wu, Dijia...... 66•73 Xie, Leo...... 194 Xue, Yuxin...... 66 Yaniv, Ziv...... 119 Wang, Sicheng...... 76 Wei, Y...... 118 Wu, Dufan...... 72 Xie, Lingxi...... 76 Xue, Zhiyuan...... 139 Yao, Guang...... 148 Wang, Tianchen...... 68•89 Wei, Ying...... 49 Wu, Feng...... 41•51•62•64 Xie, Linhui...... 142•143 Xue, Zhiyun...... 53 Yao, Jianhua...... 49•50•169 Wang, Tianfu. 124•132•182•183•185 Wei, Yunpeng...... 116 Wu, Guorong...... 54•56•58 Xie, Long...... 71 Xue, Zhong...... 6•39•67•80•81•82•88 Yao, Jiawen...... 52•61 Wang, Tonghe...... 186•187 Wei, Zhouping...... 84 Wu, Haitao...... 187 Xie, Shuting...... 119 Yao, Jinxia...... 154 Wang, Tongxin...... 80 Weichert, Wilko...... 52 Wu, Haiyong...... 57 Xie, Xiaohui...... 78•155 Y Yao, Qingsong...... 65 Wang, VY...... 113 Weight, Christopher...... 128•148 Wu, Ji...... 60•77 Xie, Xiaoliang...... 90 Yaakub, Siti Nurbaya...... 133 Yao, Xiaohui...... 54•194 Wang, Wei...... 52•116 Weinberger, Daniel R...... 57 Wu, Jian...... 44•60•61•78•85 Xie, Xiaoliang Sunney...... 34•38 Yamada, Shigehito...... 195 Yap, Pew-Thian...... Wang, Weisen...... 78 Weiner, Michael W...... 124 Wu, Jianlong...... 71 Xie, Xuansong...... 75•80 Yamane, Hiroaki...... 38•83 ...... 5•40•56•57•58•72•74•88•89 Wang, Wenping...... 77 Weist, Roland...... 69 Wu, Jiasong...... 63 Xie, Yibin...... 72 Yamashita, Koji...... 59 Yarkin, Vyacheslav...... 156 Wang, Wenzhe...... 60•61 Weitz, Jürgen...... 87•88 Wu, Jiayi...... 182•183 Xie, Yingpeng...... 185 Yamauchi, Haruo...... 136 Yazdani, Esfandiar Nava...... 189 Wang, X...... 118 Welling, Max...... 77 Wu, Jie Ying...... 89 Xie, Yutong...... 50•137 Yan, Chenggang...... 58 Ye, Chengqin...... 116 Wang, Xi...... 50•51 Wells, William M...... 190 Wu, Jing...... 134 Xin, Bowen...... 139 Yan, Cong...... 136 Ye, Chuyang...... 54 Wang, Xiang...... 62 Wells III, William...... 41•64•190 Wu, Jinsong...... 79 Xin, Jingmin...... 182•183 Yan, Jingwen...... 135•142•143•194 Ye, Jiarong...... 53 Wang, Xianyu...... 194 Wels, Michael...... 81 Wu, Jiong...... 69 Xing, Eric...... 68 Yan, Ke...... 77 Ye, Jong Chul...... 44•70•92•126•174 Wang, Xiaofei...... 86 Welsch, Thilo...... 88 Wu, Joy...... 68 Xing, Fuyong...... 50 Yan, Pingkun...... 6•107•110 Ye, Qing...... 62 Wang, Xiaosong...... 128•134 Weltz, Jürgen...... 130 Wu, Jun...... 50•185 Xing, Jiarui...... 189 Yan, Wenjun...... 66 Ye, Ze...... 53 Wang, Xiaoying...... 97 Wen, Chengfeng...... 189 Wu, Kai...... 61 Xing, Lei...... 186 Yan, Yuguang...... 51•182•183 Yeagle, Erin...... 143 Wang, Xifeng...... 154 Wen, Hongkai...... 61 Wu, Lin...... 51•52 Xing, Wenhui...... 136 Yan, Zhennan...... 51•79 Yeche,et al...... 188 Wang, Xin...... 83•90 Wen, Shuang...... 192 Wu, Pengxiang...... 52 Xing, Xiaodan...... 39•80•81•82 Yang, Bing...... 71•182•183 Yendiki, Anastasia...... 152 Wang, Xingce...... 77•178 Wen, Tiexiang...... 65 Wu, Qingyao...... 49•51•182•183 Xing, Yunyan...... 82 Yang, Bingyu...... 72 Yendiki, Anastasía...... 181 Wang, Xiuying...... 68•139 Wen, Xuyun...... 59 Wu, Shuang...... 131 Xiong, Guangwei...... 148 Yang, Changchun...... 40•49•51 Yeske, Benjamin...... 138 Wang, Xiyue...... 116 Weng, Wei-Hung...... 186 Wu, Tai-Hsien...... 90 Xiong, Jinjun...... 89 Yang, Chao...... 128 Yi, Fangqiu...... 85 Wang, Xu...... 42•89 Weninger, Leon...... 52•180 Wu, Tong...... 154 Xiong, Yi...... 42•88•89 Yang, D...... 118 Yi, Jingru...... 52 Wang, Xudong...... 71•85 Wergeles, Nickolas...... 155 Wu, Xi...... 60•90 Xiong, Zhaohan...... 114 Yang, Defu...... 58 Yigitsoy, Mehmet...... 83 Wang, Xuelin...... 156 Werys, Konrad...... 73 Wu, Xia...... 56 Xiong, Zhiwei...... 41•51•62•64 Yang, Dong. 61•70•115•116•128•134 Yilmaz, Pinar...... 59 Wang, Xueying...... 49 Wesarg, Stefan...... 195 Wu, Xiao...... 66 Xu, Bolei...... 68 Yang, Fan...... 63 Yin, Bangde...... 167 Wang, Yalin...... 87•189 Westin, Carl-Fredrik...... 194 Wu, Xiaohua...... 81 Xu, Chaoxi...... 50 Yang, Gang...... 185 Yin, Jianxiong (Terry)...... 60 Wang, Yan...... 77 Wheeler, Gavin V...... 119 Wu, Xiyi...... 68 Xu, Chenchu...... 40•72 Yang, Guang-Zhong...... 65•86 Yin, Pengshuai...... 49•182•183 Wang, Yanjie...... 61 Whitaker, John...... 115 Wu, Ye...... 57•58•59 Xu, Chuangyong...... 124 Yang, Guang...... 60•71•77 Yin, Shi...... 83•195 Wang, Yanting...... 185 Whitaker, Ross...... 62 Wu, Yicheng...... 52 Xu, D...... 118 Yang, Guanyu...... 40•63•72 Yin, Youbing...... 90 Wang, Yanzhi...... 192 Whyne, Cari...... 167 Wu, Yifan...... 57 Xu, Daguang...... Yang, Guosheng...... 77 Yin, Zhaozheng...... 77 Wang, Yi...... 79•89 Wick, Wolfgang...... 56 Wu, Z...... 113 ...... 61•70•115•116•128•134•137 Yang, Han...... 80 Ying, Kui...... 91 Wang, Yimin...... 161 Wickramasinghe, Udaranga...... 69 Wu, Zhengwang. 42•56•57•58•59•81 Xu, Feiyu...... 166 Yang, Hao...... 63•65•67 Ying, Leslie...... 74 Wang, Ying...... 84 Wiesenfarth, M...... 149 Wu, Zhichao...... 124 Xu, H...... 117 Yang, Hongxu...... 43•86 Ying, Michael...... 68 Wang, Yinyan...... 139 Wiest, Roland...... 39•154•188 Wu, Zhongke...... 77 Xu, Hai...... 69 Yang, Huzheng...... 57 Yong, Keir...... 57 Wang, Yirui...... 83 Wiestler, Benedict...... 73•79 Wu, Zonghan...... 65•196 Xu, Haohao...... 117 Yang, Jian...... 84 Yoo, Donggeun...... 39•65 Wang, Yiting...... 185 Wild, Peter...... 38•53 Wymbs, Nicholas...... 56 Xu, Hongli...... 135 Yang, Jiancheng...... 89 Yoo, Inwan...... 39•65 Wang, Yixian...... 142•143 Wilder, Matt...... 49 Xu, Jiahang...... 117 Yang, Jiawei...... 148 Yoon, Boogeon...... 63 Wang, Yixin...... 148 Wiliem, Arnold...... 51•52 X Xu, Jiaqi...... 49 Yang, Jie...... 65•86 Yoon, Chris...... 73 Wang, Yizhou...... 44•62•65•85 Willems, Rik...... 114 Xia, Chaoyang...... 90 Xu, Jie...... 185 Yang, Jingyuan...... 78 You, Xinge...... 195 Wang, Yong...... 127 Willems, Siri...... 186 Xia, James...... 85•89 Xu, Jingyuan...... 81 Yang, Junlin...... 63•168 Young, AA...... 113 Wang, Yu...... 75 Williams, Jackie...... 4 Xia, Jing...... 58 Xu, Junshen...... 91 Yang, Lin...... 53•64 Young, Alexandra...... 57 Wang, Yuanyuan...... 66 Wilson, Ben...... 131 Xia, Shunren...... 42•59 Xu, Lingchao...... 62 Yang, Liuqing...... 154 Young, Alistair...... 113 Wang, Yue...... 184 Wimmer, Wilhelm...... 82 Xia, Tian...... 55 Xu, Mai...... 86 Yang, Ming...... 49•51•76 Young Li, Alexandra L...... 124 Wang, Yunhong...... 184 Wirkert, Sebastian...... 129 Xia, Wenyao...... 81 Xu, Mengdi...... 131 Yang, Peng...... 124 Yousefi, Sahar...... 175 Wang, Yunlai...... 89 Wittek, Adam...... 112 Xia, Yingda...... 76 Xu, Min...... 68 Yang, Qianqian...... 180 Yu, Bei...... 192 Wang, Ze...... 74 Wlaszczyk, Agata...... 156 Xia, Yong...... 6•50•52•69•78•137 Xu, Nanfang...... 77 Yang, Qifan...... 125 Yu, Bohan...... 61 Wang, Zhangyang...... 76 Wolf, Ivo...... 88 Xiao, Bin...... 80 Xu, Tiantian...... 57 Yang, Qiming...... 186 Yu, Evan...... 54 Wang, Zhao-Yang...... 86 Wolf, Sebastian...... 75•82 Xiao, Deqiang...... 89 Xu, Wenyan...... 56 Yang, S...... 118 Yu, Fei...... 63 Wang, Zhao...... 67 Wolff, Jason...... 55 Xiao, Furen...... 186 Xu, Xiaowei...... 68•89 Yang, Sen...... 116 Yu, Hao...... 192 Wang, Zhi...... 63 Wolk, David...... 71 Xiao, Jing...... 39•64•80•83 Xu, Xinxing...... 185 Yang, Suhui...... 184 Yu, Lequan...... 42•60•61•89•133•156 Wang, Zihao...... 92 Wollstein, Gadi...... 182•183 Xiao, Li...... 49•61 Xu, Yang...... 117 Yang, Wei...... 78 Yu, Shuang...... 63 Wang, Zulin...... 86 Wolterink, Jelmer...... 69•103 Xiao, Shifu...... 125 Xu, Yanwu...... 6•49•51•72•182•185 Yang, Wenkai...... 81 Yu, Siqing...... 75 Wardlaw, Joanna...... 78 Wolterink, Jelmer M...... 103 Xiao, Taohui...... 40•74 Xu, Yi...... 89 Yang, Xiaofeng...... 186•187 Yu, Tianqi...... 49 Warfield, Simon...... 74 Wong, Ken C. L...... 64•68 Xiao, Xiaojiao...... 60 Xu, Yuesheng...... 76 Yang, Xiaoping...... 145 Yu, Weihong...... 78 Washko, George R...... 70 Wong, Kitty...... 4 Xiao, Yiming...... 81•150 Xu, Yuyun...... 79 Yang, Xiaotang...... 60•81 Yu, Yannan...... 38•82 Wedlake, Chris...... 4 Wong, Pooi Mun...... 129 Xiao, Ying...... 83 Xu, Z...... 118 Yang, Xin...... 6•42•61•62•89•167 Yu, Yizhou...... 61•62•65•68 Wee, Leonard...... 139 Wong, Sonny...... 85 Xiao, Yuting...... 71 Xu, Zhenlin...... 64 Yang, Xuan...... 63 Yuan, Binhang...... 136 Wei, Dong...... 135•139 Wong, Tom...... 60 Xie, Bin...... 127 Xu, Zhiyan...... 78 Yang, Yan...... 74 Yuan, Bo...... 192 Wei, Donglai...... 49 Woods Roger...... 55 Xie, Chunmei...... 148 Xu, Zhuangwei...... 117 Yang, Yingyu...... 114 Yuan, Changhe...... 53 Wei, Dongming...... 56•73•88 Woodward, Neil...... 59 Xie, Fengying...... 51 Xu, Ziyue.. 70•110•116•128•134•137 Yang, Yong...... 186 Yuan, Chun...... 123 Wei, Hao...... 39•80•81•82 Worrall, Daniel...... 77 Xie, Guotong...... 184 Xu, Zongben...... 74 Yang, Youming...... 187 Yuan, Chunnv...... 60 Wei, Hongrong...... 117 Woznicki, Piotr...... 131 Xie, Hongtao...... 66•69•81 Xuan, Kai...... 73 Yang, Yue...... 154 Yuan, Haiyun...... 68•89 Wei, Jia...... 64 Wright, Heidi...... 122 Xie, Hua...... 86•131 Xue, Fei-Fei...... 80 Yang, Yujiu...... 79 Yuan, Jianbo...... 40•71•74

217 218 Yuan, Jin...... 182•183 Zhang, Li...... 63 Zhang, Zhuomin...... 52 ...... 39•62•63•79•80•135•167 Zhu, Zhiyuan...... 56 Yuan, Peng...... 85•89 Zhang, Lichi...... 139 Zhang, Ziyu...... 131 Zheng, Yushan...... 51 Zhu, Zhuotun...... 76 Yuan, Songtao...... 184 Zhang, Ling...... 70•128•134 Zhang, Zizhao...... 102 Zheng, Zhong Sheng...... 155 Zhu, Ziliang...... 154 Yuan, Wenguang...... 64 Zhang, Lu...... 135 Zhang-James, Yanli...... 155 Zhong, Cheng...... 148•166 Zhuang, Jian...... 68•89 Yuan, Yading...... 90 Zhang, Mellie...... 139 Zhao, Bingxin...... 154 Zhong, Haoyu...... 83 Zhuang, Juntang...... 57•77•144 Yuan, Yinyin...... 53 Zhang, Miaomiao...... 6•41•64•189 Zhao, Can...... 133 Zhong, Zhisheng...... 71 Zhuang, Renxin...... 132 Yuan, Yixuan...... 6•66•83 Zhang, Min...... 190 Zhao, Cheng...... 90 Zhong, Zhusi...... 57 Zhuang, Xiahai...... 62•117 Yue, Ling...... 125 Zhang, Mingli...... 175 Zhao, D...... 113 Zhongyu, Li...... 50 Zhuang, Xinrui...... 79 Yue, Qian...... 62 Zhang, Minqing...... 39•80•81•82 Zhao, Fenqiang...... 42•58•59 Zhou, Bolei...... 188 Zhuo, Cheng...... 192 Yuille, Alan...... 76•77 Zhang, Molin...... 91 Zhao, Gang...... 196 Zhou, Bowei...... 67 Zhuo, Enhong...... 67 Yushkevich, Paul...... 71 Zhang, Peng...... 79 Zhao, He...... 72 Zhou, Haoyin...... 85 Zia, Muhammad Bilal...... 81 Zhang, Qi...... 117 Zhao, Heming...... 183 Zhou, Hong-Yu...... 167 Zielinski, Brandon...... 54 Z Zhang, Qiang...... 73 Zhao, J...... 113 Zhou, J...... 113 Zielinski, Jakub...... 131•169 Zachow, Stefan...... 83•189 Zhang, Qianyi...... 62 Zhao, Jianchun...... 78 Zhou, Jie...... 133 Zimmer, Veronika...... 44•58•91 Zacur, E...... 117 Zhang, Qiaowei...... 78 Zhao, Jichao...... 114 Zhou, Juan...... 51 Zimmer, Veronika A...... 131 Zacur, Ernesto...... 137 Zhang, Qihao...... 79 Zhao, Jie...... 51•63 Zhou, Kang...... 40•49 Zimmerer, David...... 72 Zaech, Jan-Nico...... 43•89 Zhang, Qinming...... 192 Zhao, Jinfeng...... 182•183•185 Zhou, Kevin...... 4•5•6•98 Zinger, Sveta...... 66 Zahnd, Guillaume..... 84•85•122•123 Zhang, Qiong...... 80 Zhao, Jinglin...... 49 Zhou, Linghong...... 187 Zisserman, Andrew...... 169 Zald, David...... 59 Zhang, Rong...... 89 Zhao, Juanjuan...... 60•81 Zhou, Luping...... 5•55•172 Zlocha, Martin...... 62 Zam, Azhar...... 43•86 Zhang, Rongzhao...... 74 Zhao, Kun...... 51•52 Zhou, Mingsong...... 77 Zoller, Esther...... 43•86 Zaman, Akib...... 135 Zhang, Rugang...... 182•183•185 Zhao, Liang...... 76 Zhou, Niyun...... 50 Zong, Fangrong...... 181 Zandifar, Azar...... 55 Zhang, Rui...... 131 Zhao, Lin...... 57•68 Zhou, Qianying...... 53 Zor, Cemre...... 154 Zang, Dongqing...... 89 Zhang, Ruiyan...... 52 Zhao, Ningning...... 68 Zhou, S. Kevin. 40•65•71•74•164•197 Zotova, Daria...... 127 Zanjani, Farhad Ghazvinian...... 66 Zhang, Shaobo...... 63 Zhao, Peilin...... 49 Zhou, Sean...... 5•39 Zou, Beiji...... 49 Zeng, Guodong...... 4•75•76 Zhang, Shaoting...... 50•79 Zhao, Qingyu.. 56•107•128•142•143 Zhou, Shenglong...... 41•64 Zou, Yaoxian...... 88 Zeng, Jianfeng...... 143 Zhang, ShiChuan...... 127•128 Zhao, Rongchang...... 49 Zhou, Shoujun...... 65•196 Zou, Yukai...... 154 Zeng, Junjie...... 51 Zhang, Shihao...... 51•182•183 Zhao, Ruilin...... 98 Zhou, Shuo...... 144 Zreik, Majd...... 42•70 Zeng, Qi...... 41•67 Zhang, Shu...... 62•65 Zhao, Shen...... 60 Zhou, Tao...... 54•55•56 Zsembik, Leo...... 56 Zeng, Rui...... 82 Zhang, Shun...... 79 Zhao, Shifeng...... 117 Zhou, Wu...... 82 Zsembik, Leo Charles Peek...... 58 Zeng, Xiangzhu...... 54 Zhang, Sicheng...... 81 Zhao, Shijie...... 57•194 Zhou, Xiang...... 39•66•67•80•81•82 Zuluaga, Maria A...... 122 Zettinig, Oliver...... 131 Zhang, Tao...... 64 Zhao, Shu...... 60•71 Zhou, Xiao-Yun...... 86 Zuo, Nianming...... 104 Zha, Zheng-Jun...... 41•51•62•64•66 Zhang, Teng...... 51•52 Zhao, Shuai...... 69 Zhou, Xiaohu...... 90 Zhan, Liang...... 58•91•194 Zhang, Tianyang...... 71 Zhao, Shuang...... 127 Zhou, Yanning...... 49 Zhan, Yiqiang.. 5•39•66•67•73•80•82 Zhang, Tong...... 44•91•174 Zhao, Tao...... 97 Zhou, Yaxuan...... 121 Zhang, Angela...... 155 Zhang, Tuo...... 6•57•68 Zhao, Tianyi...... 77 Zhou, Yi...... 49•90 Zhang, Baochang...... 65•195•196 Zhang, Wei...... 57•62•194 Zhao, Wei...... 136•182•183•186 Zhou, Yuan...... 57 Zhang, Chaoping...... 174 Zhang, Weiwei...... 77•90 Zhao, Xiaozhi...... 84 Zhou, Yuncheng...... 117 Zhang, Chaoyi...... 52 Zhang, Wen...... 189 Zhao, Xihai...... 123 Zhou, Yuyin...... 77 Zhang, Chong...... 139 Zhang, Xin...... 194 Zhao, Xin...... 83 Zhou, Zhen...... 58•59•62 Zhang, Chupeng...... 78 Zhang, Xiran...... 43•86 Zhao, Xingzhong...... 116 Zhou, Zhi...... 161 Zhang, Daoqiang...... 6•55•80•172 Zhang, Xiulan...... 182 Zhao, Xinyu...... 127 Zhou, Zongwei...... 38•71 Zhang, Dong...... 49•71 Zhang, Yanfu...... 58•91•194 Zhao, Yi...... 49•61 Zhu, Cheng...... 61 Zhang, Donghao...... 52 Zhang, Yanming...... 66 Zhao, Yifan...... 71 Zhu, Dajiang...... 6•41•135•194 Zhang, Fan...... 59•63•100•142•179 Zhang, Yanning...... 137 Zhao, Yitian...... 49•71•182•183•184 Zhu, Delong...... 66 Zhang, Fandong...... 62 Zhang, Yanping...... 60•71 Zhao, Yu...... 84 Zhu, et al...... 188 Zhang, Feng...... 136•137 Zhang, Yao...... 148 Zhao, Yuan-Xing...... 66 Zhu, Fan...... 49 Zhang, Guoming...... 182•183•185 Zhang, Ye...... 125 Zhao, Yuji...... 143 Zhu, Haidong...... 60 Zhang, Han...... 56•57•58•59•79•81 Zhang, Yi...... 182•183 Zhao, Yujia...... 54 Zhu, Hongguang...... 141 Zhang, Hang...... 79 Zhang, Yifan...... 49 Zhao, Z...... 117 Zhu, Hongtu...... 154 Zhang, Haopeng...... 51 Zhang, Yihe...... 122 Zhao, Zhennan...... 50 Zhu, Jihua...... 89 Zhang, Henggui...... 49 Zhang, Ying...... 56 Zhao, Zhuo...... 64 Zhu, Lei...... 62•88 Zhang, Heye...... 60•71•77 Zhang, Yinglei...... 50 Zhao, Zijian...... 120 Zhu, Meihua...... 131 Zhang, Huahong...... 58 Zhang, Yishuo...... 168 Zhao, Zixu...... 50 Zhu, Rui...... 122 Zhang, J...... 118 Zhang, Yizhe...... 64•68 Zheng, Guoyan... 4•6•75•76•167•169 Zhu, Shankuan...... 65 Zhang, Jianguo...... 73•117 Zhang, Yongdong...... 66•69•80•81 Zheng, Hairong...... 66•67•97 Zhu, W...... 118 Zhang, Jianpeng...... 50 Zhang, Youshan...... 189 Zheng, Han...... 78 Zhu, Weifang...... 183 Zhang, Jie...... 87 Zhang, Yu...... 54 Zheng, Hao...... 64•65 Zhu, Wenbin...... 154 Zhang, Jin...... 182•183 Zhang, Yubing...... 49•51 Zheng, Jian-Qing...... 86 Zhu, Wentan...... 116 Zhang, Jing...... 116 Zhang, Yue...... 69 Zheng, Junfeng...... 60 Zhu, Wenzhen...... 81 Zhang, Jingjing...... 186 Zhang, Yueyi...... 41•51•62•64 Zheng, Rencheng...... 116 Zhu, Xiangjia...... 50 Zhang, Jinwei...... 79 Zhang, Yuhan...... 184 Zheng, Wei-Shi...... 80•89 Zhu, Xiaofeng...... 54•58•79 Zhang, Jiong...... 73 Zhang, Zhengqiang...... 195 Zheng, Wei...... 77 Zhu, Xiaomei...... 63 Zhang, Junge...... 65 Zhang, Zhenxi...... 57 Zheng, Xinliang...... 131 Zhu, Xinliang...... 52 Zhang, Kailai...... 77 Zhang, Zhiguo...... 125 Zheng, Xuehang...... 74 Zhu, Yanhao...... 69 Zhang, Keke...... 50 Zhang, Zhijie...... 60 Zheng, Yalin...... 49•71•182•184 Zhu, Yingying...... 38•77 Zhang, Larry...... 91 Zhang, Zhishuai...... 77 Zheng, Yanting...... 58 Zhu, Yuemin...... 65 Zhang, Le...... 75 Zhang, Zhong...... 139 Zheng, Yefeng...... Zhu, Zhe...... 78

219 220 NOTES

23rd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION 4-8 October 2020 PERU LIMA CONVENTION CENTER • LIMA-PERU

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