MICCAI 2018 21St International Conference Granada, Spain, September 16–20, 2018 Proceedings, Part II

Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen

Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zurich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology Madras, Chennai, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbrücken, Germany More information about this series at http://www.springer.com/series/7412 Alejandro F. Frangi • Julia A. Schnabel Christos Davatzikos • Carlos Alberola-López Gabor Fichtinger (Eds.)

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 21st International Conference Granada, Spain, September 16–20, 2018 Proceedings, Part II

123 Editors Alejandro F. Frangi Carlos Alberola-López University of Leeds Universidad de Valladolid Leeds Valladolid UK Spain Julia A. Schnabel Gabor Fichtinger King’s College London Queen’s University London Kingston, ON UK Canada Christos Davatzikos University of Pennsylvania Philadelphia, PA USA

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-00933-5 ISBN 978-3-030-00934-2 (eBook) https://doi.org/10.1007/978-3-030-00934-2

Library of Congress Control Number: 2018909526

LNCS Sublibrary: SL6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics

© Springer Nature Switzerland AG 2018, corrected publication 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland Preface

We are very pleased to present the conference proceedings for the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), which was successfully held at the Granada Conference Center, September 16–20, 2018 in Granada, Spain. The conference also featured 40 workshops, 14 tutorials, and ten challenges held on September 16 or 20. For the first time, we had events co-located or endorsed by other societies. The two-day Visual Computing in Biology and Medicine (VCBM) Work- shop partnered with EUROGRAPHICS1, the one-day Biomedical Workshop Biomedical Information Processing and Analysis: A Latin American perspective partnered with SIPAIM2, and the one-day MICCAI Workshop on Computational Diffusion on MRI was endorsed by ISMRM3. This year, at the time of writing this preface, the MICCAI 2018 conference had over 1,400 firm registrations for the main conference featuring the most recent work in the fields of: – Reconstruction and Image Quality – Machine Learning and Statistical Analysis – Registration and Image Guidance – Optical and Histology Applications – Cardiac, Chest and Abdominal Applications – fMRI and Diffusion Imaging – Neuroimaging – Computer-Assisted Intervention – Segmentation This was the largest MICCAI conference to date, with, for the first time, four volumes of Lecture Notes in Computer Science (LNCS) proceedings for the main conference, selected after a thorough double-blind peer-review process organized in several phases as further described below. Following the example set by the previous program chairs of MICCAI 2017, we employed the Conference Managing Toolkit (CMT)4 for paper submissions and double-blind peer-reviews, the Toronto Paper Matching System (TPMS)5 for automatic paper assignment to area chairs and reviewers, and Researcher.CC6 to handle conflicts between authors, area chairs, and reviewers.

1 https://www.eg.org. 2 http://www.sipaim.org/. 3 https://www.ismrm.org/. 4 https://cmt.research.microsoft.com. 5 http://torontopapermatching.org. 6 http://researcher.cc. VI Preface

In total, a record 1,068 full submissions (ca. 33% more than the previous year) were received and sent out to peer-review, from 1,335 original intentions to submit. Of those submissions, 80% were considered as pure Medical Image Computing (MIC), 14% as pure Computer-Assisted Intervention (CAI), and 6% as MICCAI papers that fitted into both MIC and CAI areas. The MICCAI 2018 Program Committee (PC) had a total of 58 area chairs, with 45% from Europe, 43% from the Americas, 9% from Australasia, and 3% from the Middle East. We maintained an excellent gender balance with 43% women scientists on the PC. Using TPMS scoring and CMT, each area chair was assigned between 18 and 20 manuscripts using TPMS, for each of which they suggested 9–15 potential reviewers. Subsequently, 600 invited reviewers were asked to bid for the manuscripts they had been suggested for. Final reviewer allocations via CMT took PC suggestions, reviewer bidding, and TPMS scores into account, allocating 5–6 papers per reviewer. Based on the double-blind reviews, 173 papers (16%) were directly accepted and 314 papers (30%) were directly rejected – these decisions were confirmed by the handling area chair. The remaining 579 papers (54%) were invited for rebuttal. Two further area chairs were added using CMT and TPMS scores to each of these remaining manuscripts, who then independently scored these to accept or reject, based on the reviews, rebuttal, and manuscript, resulting in clear paper decisions using majority voting: 199 further manuscripts were accepted, and 380 rejected. The overall manuscript acceptance rate was 34.9%. Two PC teleconferences were held on May 14, 2018, in two different time zones to confirm the final results and collect PC feedback on the peer-review process (with over 74% PC attendance rate). For the MICCAI 2018 proceedings, the 372 accepted papers7 have been organized in four volumes as follows: – Volume LNCS 11070 includes: Image Quality and Artefacts (15 manuscripts), Image Reconstruction Methods (31), Machine Learning in Medical Imaging (22), Statistical Analysis for Medical Imaging (10), and Image Registration Methods (21) – Volume LNCS 11071 includes: Optical and Histology Applications (46); and Cardiac, Chest, and Abdominal Applications (59) – Volume LNCS 11072 includes: fMRI and Diffusion Imaging (45); Neuroimaging and Brain Segmentation (37) – Volume LNCS 11073 includes: Computer-Assisted Intervention (39) grouped into image-guided interventions and surgery; surgical planning, simulation and work flow analysis; and visualization and augmented reality; and Image Segmentation Methods (47) grouped into general segmentation methods; multi-organ segmentation; abdominal, cardiac, chest, and other segmentation applications. We would like to thank everyone who contributed greatly to the success of MICCAI 2018 and the quality of its proceedings. These include the MICCAI Society, for support and insightful comments; and our sponsors for financial support and their presence on site. We are especially grateful to all members of the Program Committee for their diligent work in the reviewer assignments and final paper selection, as well as the 600

7 One paper was withdrawn. Preface VII reviewers for their support during the entire process. Finally, and most importantly, we thank all authors, co-authors, students, and supervisors, for submitting and presenting their high-quality work which made MICCAI 2018 a greatly enjoyable, informative, and successful event. We are especially indebted to those reviewers and PC members who helped us resolve last-minute missing reviews at a very short notice. We are looking forward to seeing you in Shenzhen, China, at MICCAI 2019!

August 2018 Julia A. Schnabel Christos Davatzikos Gabor Fichtinger Alejandro F. Frangi Carlos Alberola-López Alberto Gomez Herrero Spyridon Bakas Antonio R. Porras Organization

Organizing Committee General Chair and Program Co-chair Alejandro F. Frangi University of Leeds, UK

General Co-chair Carlos Alberola-López Universidad de Valladolid, Spain

Associate to General Chairs Antonio R. Porras Children’s National Medical Center, Washington D.C., USA

Program Chair Julia A. Schnabel King’s College London, UK

Program Co-chairs Christos Davatzikos University of Pennsylvania, USA Gabor Fichtinger Queen’s University, Canada

Associates to Program Chairs Spyridon Bakas University of Pennsylvania, USA Alberto Gomez Herrero King’s College London, UK

Tutorial and Educational Chair Anne Martel University of Toronto, Canada

Tutorial and Educational Co-chairs Miguel González-Ballester Universitat Pompeu Fabra, Spain Marius Linguraru Children’s National Medical Center, Washington D.C., USA Kensaku Mori Nagoya University, Japan Carl-Fredrik Westin Harvard Medical School, USA

Workshop and Challenge Chair Danail Stoyanov University College London, UK X Organization

Workshop and Challenge Co-chairs Hervé Delingette Inria, France Lena Maier-Hein German Cancer Research Center, Germany Zeike A. Taylor University of Leeds, UK

Keynote Lecture Chair Josien Pluim TU Eindhoven, The Netherlands

Keynote Lecture Co-chairs Matthias Harders ETH Zurich, Switzerland Septimiu Salcudean The University of British Columbia, Canada

Corporate Affairs Chair Terry Peters Western University, Canada

Corporate Affairs Co-chairs Hayit Greenspan Tel Aviv University, Israel Despina Kontos University of Pennsylvania, USA Guy Shechter Philips, USA

Student Activities Facilitator Demian Wasserman Inria, France

Student Activities Co-facilitator Karim Lekadir Universitat Pompeu-Fabra, Spain

Communications Ofﬁcer Pedro Lopes University of Leeds, UK

Conference Management DEKON Group

Program Committee

Ali Gooya University of Shefﬁeld, UK Amber Simpson Memorial Sloan Kettering Cancer Center, USA Andrew King King’s College London, UK Bennett Landman Vanderbilt University, USA Bernhard Kainz Imperial College London, UK Burak Acar Bogazici University, Turkey Organization XI

Carola Schoenlieb Cambridge University, UK Caroline Essert University of Strasbourg/ICUBE, France Christian Wachinger Ludwig Maximilian University of Munich, Germany Christos Bergeles King’s College London, UK Daphne Yu Siemens Healthineers, USA Duygu Tosun University of California at San Francisco, USA Emanuele Trucco University of Dundee, UK Ender Konukoglu ETH Zurich, Switzerland Enzo Ferrante CONICET/Universidad Nacional del Litoral, Argentina Erik Meijering Erasmus University Medical Center, The Netherlands Gozde Unal Istanbul Technical University, Turkey Guido Gerig New York University, USA Gustavo Carneiro University of Adelaide, Australia Hassan Rivaz Concordia University, Canada Herve Lombaert ETS Montreal, Canada Hongliang Ren National University of Singapore, Singapore Ingerid Reinertsen SINTEF, Norway Ipek Oguz University of Pennsylvania/Vanderbilt University, USA Ivana Isgum University Medical Center Utrecht, The Netherlands Juan Eugenio Iglesias University College London, UK Kayhan Batmanghelich University of Pittsburgh/Carnegie Mellon University, USA Laura Igual Universitat de Barcelona, Spain Lauren O’Donnell Harvard University, USA Le Lu Ping An Technology US Research Labs, USA Li Cheng A*STAR Singapore, Singapore Lilla Zöllei Massachusetts General Hospital, USA Linwei Wang Rochester Institute of Technology, USA Marc Niethammer University of North Carolina at Chapel Hill, USA Marius Staring Leiden University Medical Center, The Netherlands Marleen de Bruijne Erasmus MC Rotterdam/University of Copenhagen, The Netherlands/Denmark Marta Kersten Concordia University, Canada Mattias Heinrich University of Luebeck, Germany Meritxell Bach Cuadra University of Lausanne, Switzerland Miaomiao Zhang Washington University in St. Louis, USA Moti Freiman Philips Healthcare, Israel Nasir Rajpoot University of Warwick, UK Nassir Navab Technical University of Munich, Germany Pallavi Tiwari Case Western Reserve University, USA Pingkun Yan Rensselaer Polytechnic Institute, USA Purang Abolmaesumi University of British Columbia, Canada Ragini Verma University of Pennsylvania, USA Raphael Sznitman University of Bern, Switzerland Sandrine Voros University of Grenoble, France XII Organization

Sotirios Tsaftaris University of Edinburgh, UK Stamatia Giannarou Imperial College London, UK Stefanie Speidel National Center for Tumor Diseases (NCT) Dresden, Germany Stefanie Demirci Technical University of Munich, Germany Tammy Riklin Raviv Ben-Gurion University, Israel Tanveer Syeda-Mahmood IBM Research, USA Ulas Bagci University of Central Florida, USA Vamsi Ithapu University of Wisconsin-Madison, USA Yanwu Xu Baidu Inc., China Scientiﬁc Review Committee

Amir Abdi Martin Benning Ehsan Adeli Aïcha BenTaieb Iman Aganj Ruth Bergman Ola Ahmad Alessandro Bevilacqua Amr Ahmed Ryoma Bise Shazia Akbar Isabelle Bloch Alireza Akhondi-asl Sebastian Bodenstedt Saad Ullah Akram Hrvoje Bogunovic Amir Alansary Gerda Bortsova Shadi Albarqouni Sylvain Bouix Luis Alvarez Felix Bragman Deepak Anand Christopher Bridge Elsa Angelini Tom Brosch Rahman Attar Aurelien Bustin Chloé Audigier Irène Buvat Angelica Aviles-Rivero Cesar Caballero-Gaudes Ruqayya Awan Ryan Cabeen Suyash Awate Nathan Cahill Dogu Baran Aydogan Jinzheng Cai Shekoofeh Azizi Weidong Cai Katja Bühler Tian Cao Junjie Bai Valentina Carapella Wenjia Bai M. Jorge Cardoso Daniel Balfour Daniel Castro Walid Barhoumi Daniel Coelho de Castro Sarah Barman Philippe C. Cattin Michael Barrow Juan Cerrolaza Deepti Bathula Suheyla Cetin Karayumak Christian F. Baumgartner Matthieu Chabanas Pierre-Louis Bazin Jayasree Chakraborty Delaram Behnami Rudrasis Chakraborty Erik Bekkers Rajib Chakravorty Rami Ben-Ari Vimal Chandran Organization XIII

Catie Chang Lei Du Pierre Chatelain Lixin Duan Akshay Chaudhari Florian Dubost Antong Chen Nicolas Duchateau Chao Chen James Duncan Geng Chen Luc Duong Hao Chen Nicha Dvornek Jianxu Chen Oleh Dzyubachyk Jingyun Chen Zach Eaton-Rosen Min Chen Mehran Ebrahimi Xin Chen Matthias J. Ehrhardt Yang Chen Ahmet Ekin Yuncong Chen Ayman El-Baz Jiezhi Cheng Randy Ellis Jun Cheng Mohammed Elmogy Veronika Cheplygina Marius Erdt Farida Cheriet Guray Erus Minqi Chong Marco Esposito Daan Christiaens Joset Etzel Serkan Cimen Jingfan Fan Francesco Ciompi Yong Fan Cedric Clouchoux Aly Farag James Clough Mohsen Farzi Dana Cobzas Anahita Fathi Kazerooni Noel Codella Hamid Fehri Toby Collins Xinyang Feng Olivier Commowick Olena Filatova Sailesh Conjeti James Fishbaugh Pierre-Henri Conze Tom Fletcher Tessa Cook Germain Forestier Timothy Cootes Denis Fortun Pierrick Coupé Alfred Franz Alessandro Crimi Muhammad Moazam Fraz Adrian Dalca Wolfgang Freysinger Sune Darkner Jurgen Fripp Dhritiman Das Huazhu Fu Johan Debayle Yang Fu Farah Deeba Bernhard Fuerst Silvana Dellepiane Gareth Funka-Lea Adrien Depeursinge Isabel Funke Maria Deprez Jan Funke Christian Desrosiers Francesca Galassi Blake Dewey Linlin Gao Jwala Dhamala Mingchen Gao Qi Dou Yue Gao Karen Drukker Zhifan Gao XIV Organization

Utpal Garain Xiaolei Huang Mona Garvin Yawen Huang Aimilia Gastounioti Henkjan Huisman Romane Gauriau Yuankai Huo Bao Ge Sarfaraz Hussein Sandesh Ghimire Jana Hutter Ali Gholipour Seong Jae Hwang Rémi Giraud Atsushi Imiya Ben Glocker Amir Jamaludin Ehsan Golkar Faraz Janan Polina Golland Uditha Jarayathne Yuanhao Gong Xi Jiang German Gonzalez Jieqing Jiao Pietro Gori Dakai Jin Alejandro Granados Yueming Jin Sasa Grbic Bano Jordan Enrico Grisan Anand Joshi Andrey Gritsenko Shantanu Joshi Abhijit Guha Roy Leo Joskowicz Yanrong Guo Christoph Jud Yong Guo Siva Teja Kakileti Vikash Gupta Jayashree Kalpathy-Cramer Benjamin Gutierrez Becker Ali Kamen Séverine Habert Neerav Karani Ilker Hacihaliloglu Anees Kazi Stathis Hadjidemetriou Eric Kerfoot Ghassan Hamarneh Erwan Kerrien Adam Harrison Farzad Khalvati Grant Haskins Hassan Khan Charles Hatt Bishesh Khanal Tiancheng He Ron Kikinis Mehdi Hedjazi Moghari Hyo-Eun Kim Tobias Heimann Hyunwoo Kim Christoph Hennersperger Jinman Kim Alfredo Hernandez Minjeong Kim Monica Hernandez Benjamin Kimia Moises Hernandez Fernandez Kivanc Kose Carlos Hernandez-Matas Julia Krüger Matthew Holden Pavitra Krishnaswamy Yi Hong Frithjof Kruggel Nicolas Honnorat Elizabeth Krupinski Benjamin Hou Soﬁa Ira Ktena Yipeng Hu Arjan Kuijper Heng Huang Ashnil Kumar Junzhou Huang Neeraj Kumar Weilin Huang Punithakumar Kumaradevan Organization XV

Manuela Kunz Kai Ma Jin Tae Kwak Khushhall Chandra Mahajan Alexander Ladikos Dwarikanath Mahapatra Rodney Lalonde Andreas Maier Pablo Lamata Klaus H. Maier-Hein Catherine Laporte Sokratis Makrogiannis Carole Lartizien Grégoire Malandain Toni Lassila Anand Malpani Andras Lasso Jose Manjon Matthieu Le Tommaso Mansi Maria J. Ledesma-Carbayo Awais Mansoor Hansang Lee Anne Martel Jong-Hwan Lee Diana Mateus Soochahn Lee Arnaldo Mayer Etienne Léger Jamie McClelland Beatrice Lentes Stephen McKenna Wee Kheng Leow Ronak Mehta Nikolas Lessmann Raphael Meier Annan Li Qier Meng Gang Li Yu Meng Ruoyu Li Bjoern Menze Wenqi Li Liang Mi Xiang Li Shun Miao Yuanwei Li Abhishek Midya Chunfeng Lian Zhe Min Jianming Liang Rashika Mishra Hongen Liao Marc Modat Ruizhi Liao Norliza Mohd Noor Roxane Licandro Mehdi Moradi Lanfen Lin Rodrigo Moreno Claudia Lindner Kensaku Mori Cristian Linte Aliasghar Mortazi Feng Liu Peter Mountney Hui Liu Arrate Muñoz-Barrutia Jianfei Liu Anirban Mukhopadhyay Jundong Liu Arya Nabavi Kefei Liu Layan Nahlawi Mingxia Liu Ana Ineyda Namburete Sidong Liu Valery Naranjo Marco Lorenzi Peter Neher Xiongbiao Luo Hannes Nickisch Jinglei Lv Dong Nie Ilwoo Lyu Lipeng Ning Omar M. Rijal Jack Noble Pablo Márquez Neila Vincent Noblet Henning Müller Alexey Novikov XVI Organization

Ilkay Oksuz Parnesh Raniga Ozan Oktay Yogesh Rathi John Onofrey Saima Rathore Eliza Orasanu Nishant Ravikumar Felipe Orihuela-Espina Shan E. Ahmed Raza Jose Orlando Islem Rekik Yusuf Osmanlioglu Beatriz Remeseiro David Owen Markus Rempfler Cristina Oyarzun Laura Mauricio Reyes Jose-Antonio Pérez-Carrasco Constantino Reyes-Aldasoro Danielle Pace Nicola Rieke J. Blas Pagador Laurent Risser Akshay Pai Leticia Rittner Xenophon Papademetris Yong Man Ro Bartlomiej Papiez Emma Robinson Toufiq Parag Rafael Rodrigues Magdalini Paschali Marc-Michel Rohé Angshuman Paul Robert Rohling Christian Payer Karl Rohr Jialin Peng Plantefeve Rosalie Tingying Peng Holger Roth Xavier Pennec Su Ruan Sérgio Pereira Danny Ruijters Mehran Pesteie Juan Ruiz-Alzola Loic Peter Mert Sabuncu Igor Peterlik Frank Sachse Simon Pezold Farhang Sahba Micha Pfeifer Septimiu Salcudean Dzung Pham Gerard Sanroma Renzo Phellan Emine Saritas Pramod Pisharady Imari Sato Josien Pluim Alexander Schlaefer Kilian Pohl Jerome Schmid Jean-Baptiste Poline Caitlin Schneider Alison Pouch Jessica Schrouff Prateek Prasanna Thomas Schultz Philip Pratt Suman Sedai Raphael Prevost Biswa Sengupta Esther Puyol Anton Ortal Senouf Yuchuan Qiao Maxime Sermesant Gwénolé Quellec Carmen Serrano Pradeep Reddy Raamana Amit Sethi Julia Rackerseder Muhammad Shaban Hedyeh Rafii-Tari Reuben Shamir Mehdi Rahim Yeqin Shao Kashif Rajpoot Li Shen Organization XVII

Bibo Shi Nicolas Toussaint Kuangyu Shi Jocelyne Troccaz Hoo-Chang Shin Tomasz Trzcinski Russell Shinohara Ahmet Tuysuzoglu Viviana Siless Andru Twinanda Carlos A. Silva Carole Twining Matthew Sinclair Eranga Ukwatta Vivek Singh Mathias Unberath Korsuk Sirinukunwattana Tamas Ungi Ihor Smal Martin Urschler Michal Sofka Maria Vakalopoulou Jure Sokolic Vanya Valindria Hessam Sokooti Koen Van Leemput Ahmed Soliman Hien Van Nguyen Stefan Sommer Gijs van Tulder Diego Sona S. Swaroop Vedula Yang Song Harini Veeraraghavan Aristeidis Sotiras Miguel Vega Jamshid Sourati Anant Vemuri Rachel Sparks Gopalkrishna Veni Ziga Spiclin Archana Venkataraman Lawrence Staib François-Xavier Vialard Ralf Stauder Pierre-Frederic Villard Darko Stern Satish Viswanath Colin Studholme Wolf-Dieter Vogl Martin Styner Ingmar Voigt Heung-Il Suk Tomaz Vrtovec Jian Sun Bo Wang Xu Sun Guotai Wang Kyunghyun Sung Jiazhuo Wang Nima Tajbakhsh Liansheng Wang Sylvain Takerkart Manning Wang Chaowei Tan Sheng Wang Jeremy Tan Yalin Wang Mingkui Tan Zhe Wang Hui Tang Simon Warﬁeld Min Tang Chong-Yaw Wee Youbao Tang Juergen Weese Yuxing Tang Benzheng Wei Christine Tanner Wolfgang Wein Qian Tao William Wells Giacomo Tarroni Rene Werner Zeike Taylor Daniel Wesierski Kim Han Thung Matthias Wilms Yanmei Tie Adam Wittek Daniel Toth Jelmer Wolterink XVIII Organization

Ken C. L. Wong Guillaume Zahnd Jonghye Woo Marco Zenati Pengxiang Wu Ke Zeng Tobias Wuerﬂ Oliver Zettinig Yong Xia Daoqiang Zhang Yiming Xiao Fan Zhang Weidi Xie Han Zhang Yuanpu Xie Heye Zhang Fangxu Xing Jiong Zhang Fuyong Xing Jun Zhang Tao Xiong Lichi Zhang Daguang Xu Lin Zhang Yan Xu Ling Zhang Zheng Xu Mingli Zhang Zhoubing Xu Pin Zhang Ziyue Xu Shu Zhang Wufeng Xue Tong Zhang Jingwen Yan Yong Zhang Ke Yan Yunyan Zhang Yuguang Yan Zizhao Zhang Zhennan Yan Qingyu Zhao Dong Yang Shijie Zhao Guang Yang Yitian Zhao Xiao Yang Guoyan Zheng Xin Yang Yalin Zheng Jianhua Yao Yinqiang Zheng Jiawen Yao Zichun Zhong Xiaohui Yao Luping Zhou Chuyang Ye Zhiguo Zhou Menglong Ye Dajiang Zhu Jingru Yi Wentao Zhu Jinhua Yu Xiaofeng Zhu Lequan Yu Xiahai Zhuang Weimin Yu Aneeq Zia Yixuan Yuan Veronika Zimmer Evangelia Zacharaki Majd Zreik Ernesto Zacur Reyer Zwiggelaar

Mentorship Program (Mentors)

Stephen Aylward Kitware Inc., USA Christian Barillot IRISA/CNRS/University of Rennes, France Kayhan Batmanghelich University of Pittsburgh/Carnegie Mellon University, USA Christos Bergeles King’s College London, UK Organization XIX

Marleen de Bruijne Erasmus Medical Center Rotterdam/University of Copenhagen, The Netherlands/Denmark Cheng Li University of Alberta, Canada Stefanie Demirci Technical University of Munich, Germany Simon Duchesne University of Laval, Canada Enzo Ferrante CONICET/Universidad Nacional del Litoral, Argentina Alejandro F. Frangi University of Leeds, UK Miguel A. Universitat Pompeu Fabra, Spain González-Ballester Stamatia (Matina) Imperial College London, UK Giannarou Juan Eugenio University College London, UK Iglesias-Gonzalez Laura Igual Universitat de Barcelona, Spain Leo Joskowicz The Hebrew University of Jerusalem, Israel Bernhard Kainz Imperial College London, UK Shuo Li University of Western Ontario, Canada Marius G. Linguraru Children’s National Health System/George Washington University, USA Le Lu Ping An Technology US Research Labs, USA Tommaso Mansi Siemens Healthineers, USA Anne Martel Sunnybrook Research Institute, USA Kensaku Mori Nagoya University, Japan Parvin Mousavi Queen’s University, Canada Nassir Navab Technical University of Munich/Johns Hopkins University, USA Marc Niethammer University of North Carolina at Chapel Hill, USA Ipek Oguz University of Pennsylvania/Vanderbilt University, USA Josien Pluim Eindhoven University of Technology, The Netherlands Jerry L. Prince Johns Hopkins University, USA Nicola Rieke NVIDIA Corp./Technical University of Munich, Germany Daniel Rueckert Imperial College London, UK Julia A. Schnabel King’s College London, UK Raphael Sznitman University of Bern, Switzerland Jocelyne Troccaz CNRS/University of Grenoble, France Gozde Unal Istanbul Technical University, Turkey Max A. Viergever Utrecht University/University Medical Center Utrecht, The Netherlands Linwei Wang Rochester Institute of Technology, USA Yanwu Xu Baidu Inc., China Miaomiao Zhang Lehigh University, USA Guoyan Zheng University of Bern, Switzerland Lilla Zöllei Massachusetts General Hospital, USA XX Organization

Sponsors and Funders Platinum Sponsors

• NVIDIA Inc. • Siemens Healthineers GmbH

Gold Sponsors

• Guangzhou Shiyuan Electronics Co. Ltd. • Subtle Medical Inc.

Silver Sponsors

• Arterys Inc. • Claron Technology Inc. • ImSight Inc. • ImFusion GmbH • Medtronic Plc

Bronze Sponsors

• Depwise Inc. • Carl Zeiss AG

Travel Bursary Support

• MICCAI Society • National Institutes of Health, USA • EPSRC-NIHR Medical Image Analysis Network (EP/N026993/1), UK Contents – Part II

Optical and Histology Applications: Optical Imaging Applications

Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks ...... 3 Christian Payer, Darko Štern, Thomas Neff, Horst Bischof, and Martin Urschler

Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning ...... 12 Jianpeng Zhang, Yutong Xie, Qi Wu, and Yong Xia

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks...... 21 Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romani, Petia Radeva, and Domenec Puig b-Hemolysis Detection on Cultured Blood Agar Plates by Convolutional Neural Networks...... 30 Mattia Savardi, Sergio Benini, and Alberto Signoroni

A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection ...... 39 Maria Ines Meyer, Adrian Galdran, Ana Maria Mendonça, and Aurélio Campilho

Deep Random Walk for Drusen Segmentation from Fundus Images ...... 48 Fang Yan, Jia Cui, Yu Wang, Hong Liu, Hui Liu, Benzheng Wei, Yilong Yin, and Yuanjie Zheng

Retinal Artery and Vein Classification via Dominant Sets Clustering-Based Vascular Topology Estimation ...... 56 Yitian Zhao, Jianyang Xie, Pan Su, Yalin Zheng, Yonghuai Liu, Jun Cheng, and Jiang Liu

Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images ...... 65 José Ignacio Orlando, João Barbosa Breda, Karel van Keer, Matthew B. Blaschko, Pablo J. Blanco, and Carlos A. Bulant XXII Contents – Part II

A Framework for Identifying Diabetic Retinopathy Based on Anti-noise Detection and Attention-Based Fusion ...... 74 Zhiwen Lin, Ruoqian Guo, Yanjie Wang, Bian Wu, Tingting Chen, Wenzhe Wang, Danny Z. Chen, and Jian Wu

Deep Supervision with Additional Labels for Retinal Vessel Segmentation Task ...... 83 Yishuo Zhang and Albert C. S. Chung

A Multi-task Network to Detect Junctions in Retinal Vasculature ...... 92 Fatmatülzehra Uslu and Anil Anthony Bharath

A Multitask Learning Architecture for Simultaneous Segmentation of Bright and Red Lesions in Fundus Images ...... 101 Clément Playout, Renaud Duval, and Farida Cheriet

Uniqueness-Driven Saliency Analysis for Automated Lesion Detection with Applications to Retinal Diseases ...... 109 Yitian Zhao, Yalin Zheng, Yifan Zhao, Yonghuai Liu, Zhili Chen, Peng Liu, and Jiang Liu

Multiscale Network Followed Network Model for Retinal Vessel Segmentation ...... 119 Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, and Weidong Cai

Optical and Histology Applications: Histology Applications

Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images ...... 129 Aïcha BenTaieb and Ghassan Hamarneh

A Deep Model with Shape-Preserving Loss for Gland Instance Segmentation ...... 138 Zengqiang Yan, Xin Yang, and Kwang-Ting Tim Cheng

Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction ...... 147 Juan Eugenio Iglesias, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, and Tom Vercauteren

Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning...... 156 Bin Kong, Shanhui Sun, Xin Wang, Qi Song, and Shaoting Zhang

Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images ...... 165 Michael Gadermayr, Vitus Appel, Barbara M. Klinkhammer, Peter Boor, and Dorit Merhof Contents – Part II XXIII

Graph CNN for Survival Analysis on Whole Slide Pathological Images. . . . . 174 Ruoyu Li, Jiawen Yao, Xinliang Zhu, Yeqing Li, and Junzhou Huang

Fully Automated Blind Color Deconvolution of Histopathological Images . . . 183 Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, and Aggelos K. Katsaggelos

Improving Whole Slide Segmentation Through Visual Context - A Systematic Study...... 192 Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, and Jens Rittscher

Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images ...... 201 Jian Ren, Ilker Hacihaliloglu, Eric A. Singer, David J. Foran, and Xin Qi

Rotation Equivariant CNNs for Digital Pathology ...... 210 Bastiaan S. Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, and Max Welling

A Probabilistic Model Combining Deep Learning and Multi-atlas Segmentation for Semi-automated Labelling of Histology...... 219 Alessia Atzeni, Marnix Jansen, Sébastien Ourselin, and Juan Eugenio Iglesias

BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images ...... 228 Hirohisa Oda, Holger R. Roth, Kosuke Chiba, Jure Sokolić, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Julia A. Schnabel, and Kensaku Mori

Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis ...... 237 Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, and Weidong Cai

Integration of Spatial Distribution in Imaging-Genetics ...... 245 Vaishnavi Subramanian, Weizhao Tang, Benjamin Chidester, Jian Ma, and Minh N. Do

Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology ...... 254 Heather D. Couture, J. S. Marron, Charles M. Perou, Melissa A. Troester, and Marc Niethammer XXIV Contents – Part II

Optical and Histology Applications: Microscopy Applications

Cell Detection with Star-Convex Polygons ...... 265 Uwe Schmidt, Martin Weigert, Coleman Broaddus, and Gene Myers

Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization of Histopathological Images...... 274 Farhad Ghazvinian Zanjani, Svitlana Zinger, and Peter H. N. de With

Learning to Segment 3D Linear Structures Using Only 2D Annotations. . . . . 283 Mateusz Koziński, Agata Mosinska, Mathieu Salzmann, and Pascal Fua

A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin. . . 292 Alican Bozkurt, Kivanc Kose, Christi Alessi-Fox, Melissa Gill, Jennifer Dy, Dana Brooks, and Milind Rajadhyaksha

Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma Images ...... 300 Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Claudio Cavallo, Xiaochun Zhao, Sirin Gandhi, Leandro Borba Moreira, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, and Yezhou Yang

Synaptic Partner Prediction from Point Annotations in Insect Brains ...... 309 Julia Buhmann, Renate Krause, Rodrigo Ceballos Lentini, Nils Eckstein, Matthew Cook, Srinivas Turaga, and Jan Funke

Synaptic Cleft Segmentation in Non-isotropic Volume Electron Microscopy of the Complete Drosophila Brain...... 317 Larissa Heinrich, Jan Funke, Constantin Pape, Juan Nunez-Iglesias, and Stephan Saalfeld

Weakly Supervised Representation Learning for Endomicroscopy Image Analysis ...... 326 Yun Gu, Khushi Vyas, Jie Yang, and Guang-Zhong Yang

DeepHCS: Bright-Field to Fluorescence Microscopy Image Conversion Using Deep Learning for Label-Free High-Content Screening ...... 335 Gyuhyun Lee, Jeong-Woo Oh, Mi-Sun Kang, Nam-Gu Her, Myoung-Hee Kim, and Won-Ki Jeong

Optical and Histology Applications: Optical Coherence Tomography and Other Optical Imaging Applications

A Cascaded Refinement GAN for Phase Contrast Microscopy Image Super Resolution...... 347 Liang Han and Zhaozheng Yin Contents – Part II XXV

Multi-context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT ...... 356 Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Baskaran Mani, Meenakshi Mahesh, Tin Aung, and Jiang Liu

Analysis of Morphological Changes of Lamina Cribrosa Under Acute Intraocular Pressure Change ...... 364 Mathilde Ravier, Sungmin Hong, Charly Girot, Hiroshi Ishikawa, Jenna Tauber, Gadi Wollstein, Joel Schuman, James Fishbaugh, and Guido Gerig

Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT Images ...... 372 Zexuan Ji, Qiang Chen, Menglin Wu, Sijie Niu, Wen Fan, Songtao Yuan, and Quansen Sun

Automated Choroidal Neovascularization Detection for Time Series SD-OCT Images ...... 381 Yuchun Li, Sijie Niu, Zexuan Ji, Wen Fan, Songtao Yuan, and Qiang Chen

CapsDeMM: Capsule Network for Detection of Munro’s Microabscess in Skin Biopsy Images...... 389 Anabik Pal, Akshay Chaturvedi, Utpal Garain, Aditi Chandra, Raghunath Chatterjee, and Swapan Senapati

Webly Supervised Learning for Skin Lesion Classification ...... 398 Fernando Navarro, Sailesh Conjeti, Federico Tombari, and Nassir Navab

Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer ...... 407 Cheng Lu, Xiangxue Wang, Prateek Prasanna, German Corredor, Geoffrey Sedor, Kaustav Bera, Vamsidhar Velcheti, and Anant Madabhushi

Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications

Towards Accurate and Complete Registration of Coronary Arteries in CTA Images...... 419 Shaowen Zeng, Jianjiang Feng, Yunqiang An, Bin Lu, Jiwen Lu, and Jie Zhou

Quantifying Tensor Field Similarity with Global Distributions and Optimal Transport ...... 428 Arnold D. Gomez, Maureen L. Stone, Philip V. Bayly, and Jerry L. Prince XXVI Contents – Part II

Cardiac Motion Scoring with Segment- and Subject-Level Non-local Modeling...... 437 Wufeng Xue, Gary Brahm, Stephanie Leung, Ogla Shmuilovich, and Shuo Li

Computational Heart Modeling for Evaluating Efficacy of MRI Techniques in Predicting Appropriate ICD Therapy ...... 446 Eranga Ukwatta, Plamen Nikolov, Natalia Trayanova, and Graham Wright

Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation ...... 455 Jun Chen, Guang Yang, Zhifan Gao, Hao Ni, Elsa Angelini, Raad Mohiaddin, Tom Wong, Yanping Zhang, Xiuquan Du, Heye Zhang, Jennifer Keegan, and David Firmin

Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling...... 464 Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio De Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay Prasad, Stuart Cook, Declan O’Regan, and Daniel Rueckert

Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences ...... 472 Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, and Daniel Rueckert

Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI ...... 481 Le Zhang, Marco Pereañez, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, and Alejandro F. Frangi

Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation ...... 490 Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle Williams, David Newby, Rohan Dharmakumar, and Sotirios A. Tsaftaris

High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model ...... 499 Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horáček, and Linwei Wang

Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential ...... 508 Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, and Linwei Wang Contents – Part II XXVII

Pulmonary Vessel Tree Matching for Quantifying Changes in Vascular Morphology ...... 517 Zhiwei Zhai, Marius Staring, Hideki Ota, and Berend C. Stoel

MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning ...... 525 Chenchu Xu, Lei Xu, Gary Brahm, Heye Zhang, and Shuo Li

More Knowledge Is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring ...... 535 Haofu Liao, Yucheng Tang, Gareth Funka-Lea, Jiebo Luo, and Shaohua Kevin Zhou

Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio ...... 544 Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, and Eric Xing

TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-Rays ...... 553 Jonathan Laserson, Christine Dan Lantsman, Michal Cohen-Sfady, Itamar Tamir, Eli Goz, Chen Brestel, Shir Bar, Maya Atar, and Eldad Elnekave

Localization and Labeling of Posterior Ribs in Chest Radiographs Using a CRF-regularized FCN with Local Refinement...... 562 Alexander Oliver Mader, Jens von Berg, Alexander Fabritz, Cristian Lorenz, and Carsten Meyer

Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams . . . 571 Julien Sénégas, Axel Saalbach, Martin Bergtholdt, Sascha Jockel, Detlef Mentrup, and Roman Fischbach

Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network...... 580 Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, and Mauricio Reyes

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays ...... 589 Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, and Lin Yang

Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation ...... 599 Yue Zhang, Shun Miao, Tommaso Mansi, and Rui Liao XXVIII Contents – Part II

Cardiac, Chest and Abdominal Applications: Colorectal, Kidney and Liver Imaging Applications

Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning ...... 611 Hayato Itoh, Holger R. Roth, Le Lu, Masahiro Oda, Masashi Misawa, Yuichi Mori, Shin-ei Kudo, and Kensaku Mori

RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection ...... 620 Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, and Lei Xing

Interaction Techniques for Immersive CT Colonography: A Professional Assessment...... 629 Daniel Simões Lopes, Daniel Medeiros, Soraia Figueiredo Paulo, Pedro Brasil Borges, Vitor Nunes, Vasco Mascarenhas, Marcos Veiga, and Joaquim Armando Jorge

Quasi-automatic Colon Segmentation on T2-MRI Images with Low User Effort...... 638 B. Orellana, E. Monclús, P. Brunet, I. Navazo, Á. Bendezú, and F. Azpiroz

Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer...... 648 Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, and Kun Huang

Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNN ...... 657 Mohammad Arafat Hussain, Ghassan Hamarneh, and Rafeef Garbi

Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images ...... 666 Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro lwamoto, Xianhua Han, and Yen-Wei Chen

Construction of a Spatiotemporal Statistical Shape Model of Pediatric Liver from Cross-Sectional Data ...... 676 Atsushi Saito, Koyo Nakayama, Antonio R. Porras, Awais Mansoor, Elijah Biggs, Marius George Linguraru, and Akinobu Shimizu

Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy ...... 684 Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, and Lei Xing Contents – Part II XXIX

Liver Lesion Detection from Weakly-Labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector ...... 693 Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, and Sungroh Yoon

A Diagnostic Report Generator from CT Volumes on Liver Tumor with Semi-supervised Attention Mechanism ...... 702 Jiang Tian, Cong Li, Zhongchao Shi, and Feiyu Xu

Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images...... 711 Zhoubing Xu, Yuankai Huo, JinHyeong Park, Bennett Landman, Andy Milkowski, Sasa Grbic, and Shaohua Zhou

Cardiac, Chest and Abdominal Applications: Lung Imaging Applications

Deep Active Self-paced Learning for Accurate Pulmonary Nodule Segmentation...... 723 Wenzhe Wang, Yifei Lu, Bian Wu, Tingting Chen, Danny Z. Chen, and Jian Wu

CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation ...... 732 Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, and Daniel J. Mollura

Fast CapsNet for Lung Cancer Screening ...... 741 Aryan Mobiny and Hien Van Nguyen

Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction ...... 750 Raghavendra Selvan, Max Welling, Jesper H. Pedersen, Jens Petersen, and Marleen de Bruijne

Automated Pulmonary Nodule Detection: High Sensitivity with Few Candidates ...... 759 Bin Wang, Guojun Qi, Sheng Tang, Liheng Zhang, Lixi Deng, and Yongdong Zhang

Deep Learning from Label Proportions for Emphysema Quantification...... 768 Gerda Bortsova, Florian Dubost, Silas Ørting, Ioannis Katramados, Laurens Hogeweg, Laura Thomsen, Mathilde Wille, and Marleen de Bruijne XXX Contents – Part II

Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation ...... 777 Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Gig S. Mageras, Joseph O. Deasy, and Harini Veeraraghavan

From Local to Global: A Holistic Lung Graph Model ...... 786 Yashin Dicente Cid, Oscar Jiménez-del-Toro, Alexandra Platon, Henning Müller, and Pierre-Alexandre Poletti

S4ND: Single-Shot Single-Scale Lung Nodule Detection ...... 794 Naji Khosravan and Ulas Bagci

Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response ...... 803 Nathaniel Braman, Prateek Prasanna, Mehdi Alilou, Niha Beig, and Anant Madabhushi

DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection ...... 812 Wentao Zhu, Yeeleng S. Vang, Yufang Huang, and Xiaohui Xie

Statistical Framework for the Definition of Emphysema in CT Scans: Beyond Density Mask ...... 821 Gonzalo Vegas-Sánchez-Ferrero and Raúl San José Estépar

Cardiac, Chest and Abdominal Applications: Breast Imaging Applications

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification ...... 833 Vivek Kumar Singh, Santiago Romani, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Saddam Abdulwahab, Jordina Torrents-Barrena, Adel Saleh, Miguel Arquez, Meritxell Arenas, and Domenec Puig

A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer ...... 841 Byungjae Lee and Kyunghyun Paeng

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes ...... 851 Siqi Liu, Daguang Xu, S. Kevin Zhou, Olivier Pauly, Sasa Grbic, Thomas Mertelmeier, Julia Wicklein, Anna Jerebko, Weidong Cai, and Dorin Comaniciu Contents – Part II XXXI

Deep Generative Breast Cancer Screening and Diagnosis ...... 859 Shayan Shams, Richard Platania, Jian Zhang, Joohyun Kim, Kisung Lee, and Seung-Jong Park

Integrate Domain Knowledge in Training CNN for Ultrasonography Breast Cancer Diagnosis ...... 868 Jiali Liu, Wanyu Li, Ningbo Zhao, Kunlin Cao, Youbing Yin, Qi Song, Hanbo Chen, and Xuehao Gong

Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection ...... 876 Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, and Guang-Zhong Yang

Thermographic Computational Analyses of a 3D Model of a Scanned Breast...... 885 Alisson Augusto Azevedo Figueiredo, Gabriela Lima Menegaz, Henrique Coelho Fernandes, and Gilmar Guimaraes

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images ...... 893 Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald Weaver, Joann G. Elmore, and Linda Shapiro

Cardiac, Chest and Abdominal Applications: Other Abdominal Applications

AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics ...... 905 Ryutaro Tanno, Antonios Makropoulos, Salim Arslan, Ozan Oktay, Sven Mischkewitz, Fouad Al-Noor, Jonas Oppenheimer, Ramin Mandegaran, Bernhard Kainz, and Mattias P. Heinrich

MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency ...... 913 Rosalind Aughwane, Magdalena Sokolska, Alan Bainbridge, David Atkinson, Giles Kendall, Jan Deprest, Tom Vercauteren, Anna L. David, Sébastien Ourselin, and Andrew Melbourne

Automatic Lacunae Localization in Placental Ultrasound Images via Layer Aggregation ...... 921 Huan Qi, Sally Collins, and J. Alison Noble

A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI ...... 930 Nathan Lay, Yohannes Tsehay, Yohan Sumathipala, Ruida Cheng, Sonia Gaur, Clayton Smith, Adrian Barbu, Le Lu, Baris Turkbey, Peter L. Choyke, Peter Pinto, and Ronald M. Summers XXXII Contents – Part II

Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network ...... 940 Shumao Pang, Stephanie Leung, Ilanit Ben Nachum, Qianjin Feng, and Shuo Li

Estimating Achilles Tendon Healing Progress with Convolutional Neural Networks...... 949 Norbert Kapinski, Jakub Zielinski, Bartosz A. Borucki, Tomasz Trzcinski, Beata Ciszkowska-Lyson, and Krzysztof S. Nowinski

Correction to: Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images ...... E1 José Ignacio Orlando, João Barbosa Breda, Karel van Keer, Matthew B. Blaschko, Pablo J. Blanco, and Carlos A. Bulant

Author Index ...... 959