Lecture Notes in 11769

Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA

Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, , China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA More information about this series at http://www.springer.com/series/7412 Dinggang Shen • Tianming Liu • Terry M. Peters • Lawrence H. Staib • Caroline Essert • Sean Zhou • Pew-Thian Yap • Ali Khan (Eds.)

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 22nd International Conference , China, October 13–17, 2019 Proceedings, Part VI

123 Editors Dinggang Shen Tianming Liu University of North Carolina University of Georgia at Chapel Hill Athens, GA, USA Chapel Hill, NC, USA Lawrence H. Staib Terry M. Peters Yale University Western University New Haven, CT, USA , ON, Canada Sean Zhou Caroline Essert United Imaging Intelligence University of Strasbourg Shanghai, China Illkirch, France Ali Khan Pew-Thian Yap Western University University of North Carolina London, ON, Canada at Chapel Hill Chapel Hill, NC, USA

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-32225-0 ISBN 978-3-030-32226-7 (eBook) https://doi.org/10.1007/978-3-030-32226-7

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

© Springer Nature Switzerland AG 2019 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, expressed 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 pleased to present the proceedings for the 22nd International Conference on and Computer-Assisted Intervention (MICCAI), which was held at the InterContinental Hotel, Shenzhen, China, October 13–17, 2019. The conference also featured 34 workshops, 13 tutorials, and 22 challenges held on October 13 or 17. MICCAI 2019 had an approximately 63% increase in submissions and accepted papers compared with MICCAI 2018. These papers, which comprise six volumes of Lecture Notes in Computer Science (LNCS) proceedings, were selected after a thorough double-blind peer-review process. Following the example set by the previous program chairs of MICCAI 2018 and 2017, we employed Microsoft’s Conference Managing Toolkit (CMT) for paper submissions and double-blind peer-reviews, and the Paper Matching System (TPMS) to assist with automatic paper assignment to area chairs and reviewers. From 2625 original intentions to submit, 1809 full submissions were received and sent out to peer-review. Of these, 63% were considered as pure Medical Image Computing (MIC), 5% as pure Computer-Assisted Interventions (CAI), and 32% as both MIC and CAI. The MICCAI 2019 Program Committee (PC) comprised 69 area chairs, with 25 from the Americas, 21 from Europe, and 23 from Asia/Pacific/Middle East. Each area chair was assigned *25 manuscripts, with up to 15 suggested potential reviewers using TPMS scoring and self-declared research areas. Subsequently, over 1200 invited reviewers were asked to bid for the papers for which they had been suggested. Final reviewer allocations via CMT took account of PC suggestions, reviewer bidding, and TPMS scores, finally allocating 5–6 papers per reviewer. Based on the double-blinded reviews, 306 papers (17%) were accepted immediately, and 920 papers (51%) were rejected, with the remainder being sent for rebuttal. These decisions were confirmed by the area chairs. During the rebuttal phase, two additional area chairs were assigned to each rebuttal paper using CMT and TPMS scores, who then independently scored them to accept or reject, based on the reviews, rebuttal, and manuscript, resulting in clear paper decisions using majority voting. This process resulted in the acceptance of further 234 papers for an overall acceptance rate of 30%. Regional PC teleconferences were held in late June to confirm the final results and collect PC feedback on the peer-review process. For the MICCAI 2019 proceedings, 538 accepted papers have been organized in six volumes as follows: Part I, LNCS Volume 11764: Optical Imaging; Endoscopy; Microscopy Part II, LNCS Volume 11765: Image Segmentation; Image Registration; Cardiovascular Imaging; Growth, Development, Atrophy, and Progression Part III, LNCS Volume 11766: Neuroimage Reconstruction and Synthesis; Neuroimage Segmentation; Diffusion-Weighted Magnetic Resonance Imaging; Functional Neuroimaging (fMRI); Miscellaneous Neuroimaging vi Preface

Part IV, LNCS Volume 11767: Shape; Prediction; Detection and Localization; Machine Learning; Computer-Aided Diagnosis; Image Reconstruction and Synthesis Part V, LNCS Volume 11768: Computer-Assisted Interventions; MIC Meets CAI Part VI, LNCS Volume 11769: Computed Tomography; X-ray Imaging We would like to thank everyone who contributed to the success of MICCAI 2019 and the quality of its proceedings, particularly the MICCAI Society for support, insightful comments, and providing funding for Kitty Wong to be the ongoing Conference System Manager. Given the increase in workload for this year’s meeting, the Program Committee simply could not have functioned effectively without her, and she will provide ongoing oversight of the review process for future MICCAI conferences. Without the dedication and support of all of the organizers of the workshops, tutorials, and challenges, under the guidance of Kenji Suzuki, together with satellite event chairs Hongen Liao, Qian Wang, Luping Zhou, Hayit Greenspan, and Bram van Ginneken, none of these peripheral events would have been feasible. Also, the Industry Forum (led by Xiaodong Tao and Yiqiang Zhan), the Industry Session (led by Sean Zhou), as well as the Doctoral Symposium (led by Junzhou Huang and Dajiang Zhu) brought new events to MICCAI 2019. The publication chairs, Li Wang and Gang Li, undertook the onerous task of assembling the camera-ready proceedings for publication by Springer. Behind the scenes, MICCAI secretariat personnel, Janette Wallace and Johanne Langford, kept a close eye on logistics and budgets, while Doris Lam and her team from Momentous Asia, this year’s Professional Conference Organization, along with the Local Organizing Committee chair, Dong Ni (together with Jing Qin, Qianjin Feng, Dong Liang, Xiaoying Tang), handled the website and local organization. The Student Travel Award Committee chaired by Huiguang He, Jun Shi, and Xi Jiang evaluated numerous applications, including awards for undergraduate students, which is new in the history of MICCAI. We also thank our sponsors for their financial support and 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 reviewers for their support during the entire process. Finally, and most importantly, we thank all authors, co-authors, students/postdocs, and supervisors, for submitting and presenting their high-quality work that made MICCAI 2019 a greatly enjoyable, informative, and successful event. We are indebted to those reviewers and PC members who helped us resolve issues relating to last-minute missing reviews. Overall, we thank all of the authors and attendees for making MICCAI 2019 a spectacular success. We look forward to seeing you in , Peru at MICCAI 2020!

October 2019 Dinggang Shen Tianming Liu Terry M. Peters Lawrence H. Staib Caroline Essert Sean Zhou Pew-Thian Yap Ali Khan Organization

General Chairs

Dinggang Shen The University of North Carolina at Chapel Hill, USA Tianming Liu The University of Georgia, USA

Program Executive

Terry Peters Robarts Research Institute, Western University, Canada Lawrence H. Staib Yale University, USA Sean Zhou United Imaging Intelligence (UII), China Caroline Essert University of Strasbourg, France Pew-Thian Yap The University of North Carolina at Chapel Hill, USA Ali Khan Robarts Research Institute, Western University, Canada

Submissions Manager

Kitty Wong Robarts Research Institute, Western University, Canada

Workshops/Challenges/Tutorial Chairs

Kenji Suzuki Illinois Institute of Technology, USA Hayit Greenspan Tel Aviv University, Israel Bram van Ginneken Radboud University Medical Center, The Netherlands Qian Wang Shanghai Jiao Tong University, China Luping Zhou The University of Sydney, Australia Hongen Liao Tsinghua University, China

MICCAI Society, Board of Directors

Leo Joskowicz (President) The Hebrew University of Jerusalem, Israel Stephen Aylward Kitware, Inc., NY, USA (Treasurer) Josien Pluim (Secretary) Eindhoven University of Technology, The Netherlands Wiro Niessen Erasmus Medical Centre, The Netherlands (Past President) Marleen de Bruijne Erasmus Medical Centre, The Netherlands and University of Copenhagen, Denmark Hervé Delinguette Inria, Sophia Antipolis, France Caroline Essert University of Strasbourg, France Alejandro Frangi University of Leeds, UK Lena Maier-Hein German Cancer Research Center, Germany viii Organization

Shuo Li Western University, London, Canada Tianming Liu University of Georgia, USA Anne Martel University of Toronto, Canada Daniel Racoceanu Pontifical Catholic University of Peru, Peru Julia Schnabel King’s College, London, UK Guoyan Zheng Institute for Surgical Technology & Biomechanics, Switzerland Kevin Zhou Chinese Academy of Sciences, China

Industry Forum

Xiaodong Tao iFLYTEK Health, China Yiqiang Zhan United Imaging Intelligence (UII), China

Publication Committee

Gang Li The University of North Carolina at Chapel Hill, USA Li Wang The University of North Carolina at Chapel Hill, USA

Finance Committee

Dong Ni Shenzhen University, China Janette Wallace Robarts Research Institute, Western University, Canada Stephen Aylward Kitware, Inc., USA

Local Organization Chairs

Dong Ni Shenzhen University, China Jing Qin The Hong Kong Polytechnic University, SAR China Qianjin Feng Southern Medical University, China Dong Liang Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China Xiaoying Tang Southern University of Science and Technology, China

Sponsors and Publicity Liaison

Kevin Zhou Institute of Computing Technology, Chinese Academy of Sciences, China Hongen Liao Tsinghua University, China Wenjian Qin Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China Organization ix

Keynote Lectures Chairs

Max Viergever University Medical Center Utrecht, The Netherlands Kensaku Mori University, Japan Gözde Ünal Istanbul Technical University, Turkey

Student Travel Award Committee

Huiguang He Institute of Automation, Chinese Academy of Sciences, China Jun Shi Shanghai University, China Xi Jiang University of Electronic Science and Technology of China, China

Student Activities Liaison

Julia Schnabel King’s College London, UK Caroline Essert University of Strasbourg, France Rutgers University, USA MICCAI Student Board Members

Area Chairs

Purang Abolmaesumi The University of British Columbia, Canada Shadi Albarqouni The Technical University of (TUM), Germany Elsa Angelini Imperial College London, UK Suyash Awate Indian Institute of Technology (IIT) Bombay, India Ulas Bagci University of Central Florida (UCF), USA Kayhan Batmanghelich University of , USA Christian Baumgartner Swiss Federal Institute of Technology Zurich, Switzerland Ismail Ben Ayed Ecole de Technologie Superieure (ETS), Canada Weidong Cai The University of Sydney, Australia Xiaohuan Cao United Imaging Intelligence (UII), China Elvis Chen Robarts Research Institute, Western University, Canada Xinjian Chen Soochow University, China Jian Cheng Beihang University, China Jun Cheng Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences, China Veronika Cheplygina Eindhoven University of Technology, The Netherlands Elena De Momi Politecnico di Milano, Italy Ayman El-Baz University of Louisville, USA Aaron Fenster Robarts Research Institute, Western University, USA Moti Freiman Philips Healthcare, The Netherlands Yue Gao Tsinghua University, China x Organization

Xiujuan Geng Chinese University of Hong Kong, SAR China Stamatia Giannarou Imperial College London, UK Orcun Goksel Swiss Federal Institute of Technology Zurich, Switzerland Xiao Han AI Healthcare Center, Tencent Inc., China Huiguang He Institute of Automation, Chinese Academy of Sciences, China Yi Hong The University of Georgia, USA Junzhou Huang The University of Texas at Arlington, USA Xiaolei Huang The Pennsylvania State University, USA Juan Eugenio Iglesias University College London, UK Pierre Jannin The University of Rennes, France Bernhard Kainz Imperial College London, UK Ali Kamen Siemens Healthcare, USA Jaeil Kim Kyungpook National University, South Korea Andrew King King’s College London, UK Karim Lekadir Universitat Pompeu Fabra, Spain Cristian Linte Rochester Institute of Technology, USA Mingxia Liu The University of North Carolina at Chapel Hill, USA Klaus Maier-Hein German Cancer Research Center, Germany Anne Martel Sunnybrook Research Institute, USA Andrew Melbourne University College London, UK Anirban Mukhopadhyay Technische Universität Darmstadt, Germany Anqi Qiu National University of Singapore, Singapore Islem Rekik Istanbul Technical University, Turkey Hassan Rivaz Concordia University, USA Feng Shi United Imaging Intelligence (UII), China Amber Simpson Memorial Sloan Kettering Cancer Center, USA Marius Staring Leiden University Medical Center, The Netherlands Heung-Il Suk Korea University, South Korea Tanveer Syeda-Mahmood University Medical Center Utrecht, The Netherlands Xiaoying Tang Southern University of Science and Technology, China Pallavi Tiwari Case Western Reserve University, USA Emanuele Trucco University of Dundee, UK Martin Urschler Graz University of Technology, Austria Hien Van Nguyen University of Houston, USA Archana Venkataraman Johns Hopkins University, USA Christian Wachinger Ludwig Maximilian University of Munich, Germany Linwei Wang Rochester Institute of Technology, USA Yong Xia Northwestern Polytechnical University, China Yanwu Xu Baidu Inc., China Zhong Xue United Imaging Intelligence (UII), China Pingkun Yan Rensselaer Polytechnic Institute, USA Xin Yang Huazhong University of Science and Technology, China Yixuan Yuan City University of Hong Kong, SAR China Organization xi

Daoqiang Zhang Nanjing University of Aeronautics and Astronautics, China Miaomiao Zhang Washington University in St. Louis, USA Tuo Zhang Northwestern Polytechnical University, China Guoyan Zheng Shanghai Jiao Tong University, China S. Kevin Zhou Institute of Computing Technology, Chinese Academy of Sciences, China Dajiang Zhu The University of Texas at Arlington, USA

Reviewers

Abdi, Amir Barbu, Adrian Abduljabbar, Khalid Bardosi, Zoltan Adeli, Ehsan Bateson, Mathilde Aganj, Iman Bathula, Deepti Aggarwal, Priya Batmanghelich, Kayhan Agrawal, Praful Baumgartner, Christian Ahmad, Ola Baur, Christoph Ahmad, Sahar Baxter, John Ahn, Euijoon Bayramoglu, Neslihan Akbar, Shazia Becker, Benjamin Akhondi-Asl, Alireza Behnami, Delaram Akram, Saad Beig, Niha Al-Kadi, Omar Belyaev, Mikhail Alansary, Amir Benkarim, Oualid Alghamdi, Hanan Bentaieb, Aicha Ali, Sharib Bernal, Jose Allan, Maximilian Beyeler, Michael Amiri, Mina Bhatia, Parmeet Anton, Esther Bhole, Chetan Anwar, Syed Bhushan, Chitresh Armin, Mohammad Bi, Lei Audigier, Chloe Bian, Cheng Aviles-Rivero, Angelica Bilinski, Piotr Awan, Ruqayya Bise, Ryoma Awate, Suyash Bnouni, Nesrine Aydogan, Dogu Bo, Wang Azizi, Shekoofeh Bodenstedt, Sebastian Bai, Junjie Bogunovic, Hrvoje Bai, Wenjia Bozorgtabar, Behzad Balbastre, Yaël Bragman, Felix Balsiger, Fabian Braman, Nathaniel Banerjee, Abhirup Bridge, Christopher Bano, Sophia Broaddus, Coleman xii Organization

Bron, Esther Chen, Jie Brooks, Rupert Chen, Jingyun Bruijne, Marleen Chen, Lei Bühler, Katja Chen, Liang Bui, Duc Chen, Min Burlutskiy, Nikolay Chen, Pingjun Burwinkel, Hendrik Chen, Qingchao Bustin, Aurelien Chen, Xiao Cabeen, Ryan Chen, Xiaoran Cai, Hongmin Chen, Xin Cai, Jinzheng Chen, Xuejin Cai, Yunliang Chen, Yang Camino, Acner Chen, Yuanyuan Cao, Jiezhang Chen, Yuncong Cao, Qing Chen, Zhiqiang Cao, Tian Chen, Zhixiang Carapella, Valentina Cheng, Jun Cardenes, Ruben Cheng, Li Cardoso, M. Cheng, Yuan Carolus, Heike Cheng, Yupeng Castro, Daniel Cheriet, Farida Cattin, Philippe Chong, Minqi Chabanas, Matthieu Choo, Jaegul Chaddad, Ahmad Christiaens, Daan Chaitanya, Krishna Christodoulidis, Argyrios Chakraborty, Jayasree Christodoulidis, Stergios Chakraborty, Rudrasis Chung, Ai Chang, Ken Çiçek, Özgün Chang, Violeta Cid, Yashin Charaborty, Tapabrata Clarkson, Matthew Chatelain, Pierre Clough, James Chatterjee, Sudhanya Collins, Toby Chen, Alvin Commowick, Olivier Chen, Antong Conze, Pierre-Henri Chen, Cameron Cootes, Timothy Chen, Chao Correia, Teresa Chen, Chen Coulon, Olivier Chen, Elvis Coupé, Pierrick Chen, Fang Courtecuisse, Hadrien Chen, Fei Craley, Jeffrey Chen, Geng Crimi, Alessandro Chen, Hanbo Cury, Claire Chen, Hao D’souza, Niharika Chen, Jia-Wei Dai, Hang Chen, Jialei Dalca, Adrian Chen, Jianxu Das, Abhijit Organization xiii

Das, Dhritiman Esteban, Oscar Deeba, Farah Fan, Jingfan Dekhil, Omar Fan, Xin Demiray, Beatrice Fan, Yong Deniz, Cem Fan, Yonghui Depeursinge, Adrien Fang, Xi Desrosiers, Christian Farag, Aly Dewey, Blake Farzi, Mohsen Dey, Raunak Fauser, Johannes Dhamala, Jwala Fawaz, Hassan Ding, Meng Fedorov, Andrey Distergoft, Alexander Fehri, Hamid Dobrenkii, Anton Feng, Chiyu Dolz, Jose Feng, Jun Dong, Liang Feng, Xinyang Dong, Mengjin Feng, Yuan Dong, Nanqing Fenster, Aaron Dong, Xiao Ferrante, Enzo Dong, Yanni Feydy, Jean Dou, Qi Fischer, Lukas Du, Changde Fischer, Peter Du, Lei Fishbaugh, James Du, Shaoyi Fletcher, Tom Duan, Dingna Flores, Kevin Duan, Lixin Forestier, Germain Dubost, Florian Forkert, Nils Duchateau, Nicolas Fotouhi, Javad Duncan, James Fountoukidou, Tatiana Duong, Luc Franz, Alfred Dvornek, Nicha Frau-Pascual, Aina Dzyubachyk, Oleh Freysinger, Wolfgang Eaton-Rosen, Zach Fripp, Jurgen Ebner, Michael Fu, Huazhu Ebrahimi, Mehran Funka-Lea, Gareth Edwards, Philip Funke, Isabel Egger, Bernhard Funke, Jan Eguizabal, Alma Fürnstahl, Philipp Einarsson, Gudmundur Furukawa, Ryo Ekin, Ahmet Gahm, Jin Elazab, Ahmed Galassi, Francesca Elhabian, Shireen Galdran, Adrian Elmogy, Mohammed Gan, Yu Eltanboly, Ahmed Gao, Fei Erdt, Marius Gao, Mingchen Ernst, Floris Gao, Siyuan Esposito, Marco Gao, Zhifan xiv Organization

Gardezi, Syed Hamze, Noura Ge, Bao Han, Hu Gerber, Samuel Han, Jungong Gerig, Guido Han, Xiaoguang Gessert, Nils Han, Xu Gevaert, Olivier Han, Zhi Gharabaghi, Sara Hancox, Jonny Ghesu, Florin Hanson, Erik Ghimire, Sandesh Hao, Xiaoke Gholipour, Ali Haq, Rabia Ghosal, Sayan Harders, Matthias Giraud, Rémi Harrison, Adam Glocker, Ben Haskins, Grant Goceri, Evgin Hatamizadeh, Ali Goetz, Michael Hatt, Charles Gomez, Alberto Hauptmann, Andreas Gong, Kuang Havaei, Mohammad Gong, Mingming He, Tiancheng Gonzalez, German He, Yufan Gopal, Sharath Heimann, Tobias Gopinath, Karthik Heldmann, Stefan Gordon, Shiri Heller, Nicholas Gori, Pietro Hernandez-Matas, Carlos Gou, Shuiping Hernandez, Monica Granados, Alejandro Hett, Kilian Grau, Vicente Higger, Matt Green, Michael Hinkle, Jacob Gritsenko, Andrey Ho, Tsung-Ying Grupp, Robert Hoffmann, Nico Gu, Lin Holden, Matthew Gu, Yun Hong, Song Gu, Zaiwang Hong, Sungmin Gueziri, Houssem-Eddine Hou, Benjamin Guo, Hengtao Hsu, Li-Ming Guo, Jixiang Hu, Dan Guo, Xiaoqing Hu, Kai Guo, Yanrong Hu, Xiaowei Guo, Yong Hu, Xintao Gupta, Kratika Hu, Yan Gupta, Vikash Hu, Yipeng Gutman, Boris Huang, Heng Gyawali, Prashnna Huang, Huifang Hacihaliloglu, Ilker Huang, Jiashuang Hadjidemetriou, Stathis Huang, Kevin Haldar, Justin Huang, Ruobing Hamarneh, Ghassan Huang, Shih-Gu Organization xv

Huang, Weilin Jud, Christoph Huang, Xiaolei Jung, Kyu-Hwan Huang, Yawen Jungo, Alain Huang, Yixing Kadkhodamohammadi, Abdolrahim Huang, Yufang Kakileti, Siva Huang, Zhongwei Kamnitsas, Konstantinos Huaulmé, Arnaud Kang, Eunsong Huisman, Henkjan Kao, Po-Yu Huo, Xing Kapoor, Ankur Huo, Yuankai Karani, Neerav Husch, Andreas Karayumak, Suheyla Hussein, Sarfaraz Kazi, Anees Hutter, Jana Kerrien, Erwan Hwang, Seong Kervadec, Hoel Icke, Ilknur Khalifa, Fahmi Igwe, Kay Khalili, Nadieh Ingalhalikar, Madhura Khallaghi, Siavash Irmakci, Ismail Khalvati, Farzad Ivashchenko, Oleksandra Khan, Hassan Izadyyazdanabadi, Mohammadhassan Khanal, Bishesh Jafari, Mohammad Khansari, Maziyar Jäger, Paul Khosravan, Naji Jamaludin, Amir Kia, Seyed Janatka, Mirek Kikinis, Ron Jaouen, Vincent Kim, Geena Jarayathne, Uditha Kim, Hosung Javadi, Golara Kim, Hyo-Eun Javer, Avelino Kim, Jae-Hun Jensen, Todd Kim, Jinman Ji, Zexuan Kim, Jinyoung Jia, Haozhe Kim, Minjeong Jiang, Jue Kim, Namkug Jiang, Steve Kim, Seong Jiang, Tingting Kim, Young-Ho Jiang, Weixiong Kitasaka, Takayuki Jiang, Xi Klein, Stefan Jiao, Jianbo Klinder, Tobias Jiao, Jieqing Kolli, Kranthi Jiao, Zhicheng Kong, Bin Jie, Biao Kong, Xiang-Zhen Jin, Dakai Konukoglu, Ender Jin, Taisong Koo, Bongjin Jin, Yueming Koohbanani, Navid John, Rogers Kopriva, Ivica Joshi, Anand Kose, Kivanc Joshi, Shantanu Koutsoumpa, Christina xvi Organization

Kozinski, Mateusz Leow, Wee Krebs, Julian Lessmann, Nikolas Krishnan, Anithapriya Li, Annan Krishnaswamy, Pavitra Li, Bin Krivov, Egor Li, Fuhai Kruggel, Frithjof Li, Gang Krupinski, Elizabeth Li, Guoshi Kuang, Hulin Li, Hongwei Kügler, David Li, Hongying Kuijper, Arjan Li, Huiqi Kulkarni, Prachi Li, Jian Kumar, Arun Li, Jianning Kumar, Ashnil Li, Ke Kumar, Kuldeep Li, Minli Kumar, Neeraj Li, Quanzheng Kumar, Nitin Li, Rongjian Kumaradevan, Punithakumar Li, Shaohua Kunz, Manuela Li, Shulong Kunze, Holger Li, Shuyu Kuo, Weicheng Li, Wenqi Kurc, Tahsin Li, Xiang Kurmann, Thomas Li, Xianjun Kwak, Jin Li, Xiaojie Kwon, Yongchan Li, Xiaomeng Laadhari, Aymen Li, Xiaoxiao Ladikos, Alexander Li, Xiuli Lalonde, Rodney Li, Yang Lamata, Pablo Li, Yuexiang Langs, Georg Li, Zhang Lartizien, Carole Li, Zhi-Cheng Lasso, Andras Li, Zhiyuan Lau, Felix Li, Zhjin Laura, Cristina Lian, Chunfeng Le, Ngan Liang, Jianming Ledig, Christian Liang, Shanshan Lee, Hansang Liang, Yudong Lee, Hyekyoung Liao, Ruizhi Lee, Jong-Hwan Liao, Xiangyun Lee, Kyong Licandro, Roxane Lee, Minho Lin, Hongxiang Lee, Soochahn Lin, Lanfen Léger, Étienne Lin, Muqing Leger, Stefan Lindner, Claudia Lei, Baiying Lippert, Christoph Lekadir, Karim Lisowska, Aneta Lenga, Matthias Litjens, Geert Organization xvii

Liu, Bin Ma, Burton Liu, Daochang Ma, Da Liu, Dong Ma, Kai Liu, Dongnan Ma, Xuelin Liu, Fang Mahapatra, Dwarikanath Liu, Feihong Mahdavi, Sara Liu, Feng Mahmoud, Ali Liu, Hong Maicas, Gabriel Liu, Hui Maier-Hein, Klaus Liu, Jianfei Maier, Andreas Liu, Jiang Makrogiannis, Sokratis Liu, Jin Malandain, Grégoire Liu, Jing Malik, Bilal Liu, Jundong Malpani, Anand Liu, Kefei Mancini, Matteo Liu, Li Manhart, Michael Liu, Mingxia Manjon, Jose Liu, Na Mansoor, Awais Liu, Peng Mao, Yunxiang Liu, Shenghua Martel, Anne Liu, Siqi Martinez-Torteya, Antonio Liu, Siyuan Mathai, Tejas Liu, Tianming Mato, David Liu, Tiffany Mcclelland, Jamie Liu, Xianglong Mcleod, Jonathan Liu, Yixun Medrano-Gracia, Pau Liu, Yong Mehta, Ronak Liu, Yue Meier, Raphael Liu, Zhe Melbourne, Andrew Loddo, Andrea Meng, Qingjie Lopes, Daniel Meng, Xianjing Lorenzi, Marco Meng, Yu Lou, Bin Menze, Bjoern Lu, Allen Mi, Liang Lu, Donghuan Miao, Shun Lu, Jiwen Michielse, Stijn Lu, Le Midya, Abhishek Lu, Weijia Milchenko, Mikhail Lu, Yao Min, Zhe Lu, Yueh-Hsun Miyamoto, Tadashi Luo, Gongning Mo, Yuanhan Luo, Jie Molina, Rafael Lv, Jinglei Montillo, Albert Lyu, Ilwoo Moradi, Mehdi Lyu, Junyan Moreno, Rodrigo Ma, Benteng Mortazi, Aliasghar xviii Organization

Mozaffari, Mohammad Parajuli, Nripesh Muetzel, Ryan Park, Hyunjin Müller, Henning Park, Jongchan Muñoz-Barrutia, Arrate Park, Sanghyun Munsell, Brent Park, Seung-Jong Nadeem, Saad Paschali, Magdalini Nahlawi, Layan Paul, Angshuman Nandakumar, Naresh Payer, Christian Nardi, Giacomo Pei, Yuru Neila, Pablo Peng, Jialin Ni, Dong Peng, Tingying Nichols, Thomas Pennec, Xavier Nickisch, Hannes Perdomo, Oscar Nie, Dong Pereira, Sérgio Nie, Jingxin Pérez-Carrasco, Jose-Antonio Nie, Weizhi Pesteie, Mehran Niethammer, Marc Peter, Loic Nigam, Aditya Peters, Jorg Ning, Lipeng Petitjean, Caroline Niu, Shuaicheng Pezold, Simon Niu, Sijie Pfeiffer, Micha Noble, Jack Phellan, Renzo Noblet, Vincent Phophalia, Ashish Novo, Jorge Pisharady, Pramod O’donnell, Thomas Playout, Clement Obeid, Mohammad Pluim, Josien Oda, Hirohisa Pohl, Kilian Oda, Masahiro Portenier, Tiziano Odry, Benjamin Pouch, Alison Oeltze-Jafra, Steffen Prasanna, Prateek Oksuz, Ilkay Prevost, Raphael Oliveira, Marcelo Ps, Viswanath Oliver, Arnau Pujades, Sergi Oñativia, Jon Qi, Xin Onofrey, John Qian, Zhen Orasanu, Eliza Qiang, Yan Orihuela-Espina, Felipe Qiao, Lishan Orlando, Jose Qiao, Yuchuan Osmanlioglu, Yusuf Qin, Chen Otalora, Sebastian Qin, Wenjian Pace, Danielle Qirong, Bu Pagador, J. Qiu, Wu Pai, Akshay Qu, Liangqiong Pan, Yongsheng Raamana, Pradeep Pang, Shumao Rabbani, Hossein Papiez, Bartlomiej Rackerseder, Julia Organization xix

Rad, Reza Saha, Pramit Rafii-Tari, Hedyeh Sahu, Manish Rajpoot, Kashif Samani, Abbas Ramachandram, Dhanesh Samek, Wojciech Ran, Lingyan Sánchez-Margallo, Francisco Raniga, Parnesh Sánchez-Margallo, Juan Rashwan, Hatem Sankaran, Sethuraman Rathore, Saima Sanroma, Gerard Ratnarajah, Nagulan Sao, Anil Raval, Mehul Sarhan, Mhd Ravikumar, Nishant Sarikaya, Duygu Raviprakash, Harish Sarker, Md. Raza, Shan Sato, Imari Reaungamornrat, Surreerat Saut, Olivier Rekik, Islem Savardi, Mattia Remeseiro, Beatriz Savitha, Ramasamy Rempfler, Markus Scarpa, Fabio Ren, Jian Scheinost, Dustin Ren, Xuhua Scherf, Nico Ren, Yudan Schirmer, Markus Reyes-Aldasoro, Constantino Schlaefer, Alexander Reyes, Mauricio Schmid, Jerome Riedel, Brandalyn Schnabel, Julia Rieke, Nicola Schultz, Thomas Risser, Laurent Schwartz, Ernst Rittner, Leticia Sdika, Michael Rivera, Diego Sedai, Suman Ro, Yong Sekou, Taibou Robinson, Emma Sekuboyina, Anjany Robinson, Robert Selvan, Raghavendra Rodas, Nicolas Semedo, Carla Rodrigues, Rafael Senouf, Ortal Rohr, Karl Seoud, Lama Roohani, Yusuf Sermesant, Maxime Roszkowiak, Lukasz Serrano, Carmen Roth, Holger Sethi, Amit Rouco, José Shaban, Muhammad Roy, Abhijit Shaffie, Ahmed Ruijters, Danny Shah, Meet Rusu, Mirabela Shalaby, Ahmed Rutter, Erica Shamir, Reuben S., Sharath Shan, Hongming Sabuncu, Mert Shao, Yeqin Sachse, Frank Sharma, Harshita Safta, Wiem Shehata, Mohamed Saha, Monjoy Shen, Haocheng xx Organization

Shen, Li Sun, Jian Shen, Mali Sun, Li Shen, Yiru Sun, Tao Sheng, Ke Sung, Kyunghyun Shi, Bibo Suter, Yannick Shi, Jun Tajbakhsh, Nima Shi, Kuangyu Tan, Chaowei Shi, Xiaoshuang Tan, Jiaxing Shi, Yonggang Tan, Wenjun Shi, Yonghong Tang, Min Shigwan, Saurabh Tang, Sheng Shin, Hoo-Chang Tang, Thomas Shin, Jitae Tang, Xiaoying Shontz, Suzanne Tang, Youbao Signoroni, Alberto Tang, Yuxing Siless, Viviana Tang, Zhenyu Silva, Carlos Tanner, Christine Silva, Wilson Tanno, Ryutaro Simonovsky, Martin Tao, Qian Simson, Walter Tarroni, Giacomo Sinclair, Matthew Tasdizen, Tolga Singh, Vivek Thung, Kim Soans, Rajath Tian, Jiang Sohel, Ferdous Tian, Yun Sokooti, Hessam Toews, Matthew Soliman, Ahmed Tong, Yubing Sommen, Fons Topsakal, Oguzhan Sommer, Stefan Torosdagli, Neslisah Song, Ming Toussaint, Nicolas Song, Yang Troccaz, Jocelyne Sotiras, Aristeidis Trzcinski, Tomasz Sparks, Rachel Tulder, Gijs Spiclin, Ziga Tustison, Nick St-Jean, Samuel Tuysuzoglu, Ahmet Steinbach, Peter Ukwatta, Eranga Stern, Darko Unberath, Mathias Stimpel, Bernhard Ungi, Tamas Strait, Justin Upadhyay, Uddeshya Studholme, Colin Urschler, Martin Styner, Martin Uslu, Fatmatulzehra Su, Hai Uyanik, Ilyas Su, Yun-Hsuan Vaillant, Régis Subramanian, Vaishnavi Vakalopoulou, Maria Subsol, Gérard Valindria, Vanya Sudre, Carole Varela, Marta Suk, Heung-Il Varsavsky, Thomas Organization xxi

Vedula, S. Wang, Sheng Vedula, Sanketh Wang, Shuai Veeraraghavan, Harini Wang, Wenzhe Vega, Roberto Wang, Xiangxue Veni, Gopalkrishna Wang, Xiaosong Verma, Ujjwal Wang, Xuchu Vetter, Thomas Wang, Yalin Vialard, Francois-Xavier Wang, Yan Villard, Pierre-Frederic Wang, Yaping Villarini, Barbara Wang, Yuanjun Virga, Salvatore Wang, Ze Vishnevskiy, Valery Wang, Zhe Viswanath, Satish Wang, Zhinuo Vlontzos, Athanasios Wang, Zhiwei Vogl, Wolf-Dieter Wang, Zilei Voigt, Ingmar Weber, Jonathan Vos, Bob Wee, Chong-Yaw Vrtovec, Tomaz Weese, Jürgen Wang, Bo Wei, Benzheng Wang, Changmiao Wei, Dong Wang, Chengjia Wei, Donglai Wang, Chunliang Wei, Dongming Wang, Dadong Weigert, Martin Wang, Guotai Wein, Wolfgang Wang, Haifeng Wels, Michael Wang, Haoqian Wemmert, Cédric Wang, Hongkai Werner, Rene Wang, Hongzhi Wesierski, Daniel Wang, Hua Williams, Bryan Wang, Huan Williams, Jacqueline Wang, Jiazhuo Williams, Travis Wang, Jingwen Williamson, Tom Wang, Jun Wilms, Matthias Wang, Junyan Wiskin, James Wang, Kuanquan Wittek, Adam Wang, Kun Wollmann, Thomas Wang, Lei Wolterink, Jelmer Wang, Li Wong, Ken Wang, Liansheng Woo, Jonghye Wang, Manning Wu, Guoqing Wang, Mingliang Wu, Ji Wang, Nizhuan Wu, Jian Wang, Pei Wu, Jiong Wang, Puyang Wu, Pengxiang Wang, Ruixuan Wu, Xi Wang, Shanshan Wu, Ye xxii Organization

Wu, Yicheng Yang, Xiaohui Wuerfl, Tobias Yang, Xin Xi, Xiaoming Yao, Dongren Xia, Jing Yao, Jianhua Xia, Wenfeng Yao, Jiawen Xiao, Deqiang Ye, Chuyang Xiao, Yiming Ye, Jong Xie, Hai Ye, Menglong Xie, Hongtao Ye, Xujiong Xie, Jianyang Yi, Jingru Xie, Long Yi, Xin Xie, Weidi Ying, Shihui Xie, Yiting Yoo, Youngjin Xie, Yuanpu Yousefi, Bardia Xie, Yutong Yousefi, Sahar Xing, Fuyong Yu, Jinhua Xiong, Tao Yu, Kai Xu, Chenchu Yu, Lequan Xu, Jiaofeng Yu, Renping Xu, Jun Yu, Weichuan Xu, Kele Yushkevich, Paul Xu, Rui Zanjani, Farhad Xu, Ting Zenati, Marco Xu, Yan Zeng, Dong Xu, Yongchao Zeng, Guodong Xu, Zheng Zettinig, Oliver Xu, Zhenlin Zhan, Liang Xu, Zhoubing Zhang, Baochang Xu, Ziyue Zhang, Chuncheng Xue, Jie Zhang, Dongqing Xue, Wufeng Zhang, Fan Xue, Yuan Zhang, Haichong Yahya, Faridah Zhang, Han Yan, Chenggang Zhang, Haopeng Yan, Ke Zhang, Heye Yan, Weizheng Zhang, Jianpeng Yan, Yu Zhang, Jiong Yan, Yuguang Zhang, Jun Yan, Zhennan Zhang, Le Yang, Guang Zhang, Lichi Yang, Guanyu Zhang, Mingli Yang, Hao-Yu Zhang, Pengyue Yang, Jie Zhang, Pin Yang, Lin Zhang, Qiang Yang, Shan Zhang, Rongzhao Yang, Xiao Zhang, Shengping Organization xxiii

Zhang, Shu Zhao, Yu Zhang, Songze Zhao, Zijian Zhang, Tianyang Zheng, Shenhai Zhang, Tong Zheng, Yalin Zhang, Wei Zheng, Yinqiang Zhang, Wen Zhong, Zichun Zhang, Wenlu Zhou, Bo Zhang, Xiang Zhou, Jianlong Zhang, Xin Zhou, Luping Zhang, Yi Zhou, Niyun Zhang, Yifan Zhou, S. Zhang, Yizhe Zhou, Shoujun Zhang, Yong Zhou, Tao Zhang, Yongqin Zhou, Wenjin Zhang, You Zhou, Yuyin Zhang, Yu Zhou, Zhiguo Zhang, Yue Zhu, Hancan Zhang, Yueyi Zhu, Junjie Zhang, Yungeng Zhu, Qikui Zhang, Yunyan Zhu, Weifang Zhang, Yuyao Zhu, Wentao Zhang, Zizhao Zhu, Xiaofeng Zhao, Haifeng Zhu, Xinliang Zhao, Jun Zhu, Yingying Zhao, Qingyu Zhu, Yuemin Zhao, Rongchang Zhu, Zhuotun Zhao, Shijie Zhuang, Xiahai Zhao, Shiwan Zia, Aneeq Zhao, Tengda Zimmer, Veronika Zhao, Wei Zolgharni, Massoud Zhao, Yitian Zou, Ju Zhao, Yiyuan Zuluaga, Maria Accepted MICCAI 2019 Papers

By Region of First Author

Africa, 0%

Asia North America 37% 36%

Australasia 1%

Central/South America, 0.40% Europe 26%

By Technical Keyword

Others Big Data 6% 1% Surgical Planning & Visualization Anatomy & Physiology 3% 4% Neuro Imaging CAD 5% 12%

Microscopy & Histology Reconstruction 5% 7%

Interventions 3%

Machine Learning & AI 28% Segmentation, Registration & Fusion 25% Biomarkers 1% Awards Presented at MICCAI 2018, Granada, Spain

MICCAI Society Enduring Impact Award: The Enduring Impact Award is the highest award of the MICCAI Society. It is a career award for continued excellence in the MICCAI research field. The 2018 Enduring Impact Award was presented to Sandy Wells, Brigham and Women’s Hospital/Harvard Medical School, USA. MICCAI Society Fellowships: MICCAI Fellowships are bestowed annually on a small number of senior members of the society in recognition of substantial scientific contributions to the MICCAI research field and service to the MICCAI community. In 2018, fellowships were awarded to: – Pierre Jannin (Université de Rennes, France) – Anne Martel (University of Toronto, Canada) – Julia Schnabel (King’s College London, UK) Medical Image Analysis Journal Award Sponsored by Elsevier: Jianyu Lin, for his paper entitled “Dual-modality Endoscopic Probe for Tissue Surface Shape Reconstruction and Hyperspectral Imaging Enabled by Deep Neural Networks,” authored by Jianyu Lin, Neil T. Clancy, Ji Qi, Yang Hu, Taran Tatla, Danail Stoyanov, Lena Maier-Hein, and Daniel S. Elson. Best Paper in International Journal of Computer-Assisted Radiology and Surgery (IJCARS) journal: Arash Pourtaherian for his paper entitled “Robust and Semantic Needle Detection in 3D Ultrasound Using Orthogonal-Plane Convolutional Neural Networks,” authored by Arash Pourtaherian, Farhad Ghazvinian Zanjani, Svitlana Zinger, Nenad Mihajlovic, Gary C. Ng, Hendrikus H. M. Korsten, and Peter H. N. de With. Young Scientist Publication Impact Award: MICCAI papers by a young scientist from the past 5 years were eligible for this award. It is made to a researcher whose work had an impact on the MICCAI field in terms of citations, secondary citations, subsequent publications, h-index. The 2018 Young Scientist Publication Impact Award was given to Holger R Roth: “A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations” authored by Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, and Ronald M. Summers. MICCAI Young Scientist Awards: The Young Scientist Awards are stimulation prizes awarded for the best first authors of MICCAI contributions in distinct subject areas. The nominees had to be full-time students at a recognized university at, or within, two years prior to submission. The 2018 MICCAI Young Scientist Awards were given to: – Erik J. Bekkers for the paper entitled: “Roto-Translation Covariant Convolutional Networks for Medical Image Analysis” – Bastian Bier for the paper entitled: “X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery” xxviii Awards Presented at MICCAI 2018, Granada, Spain

– Yuanhan Mo for his paper entitled: “The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation” – Tanya Nair for the paper entitled: “Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation” – Yue Zhang for the paper entitled: “Task-Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation” Contents – Part VI

Computed Tomography

Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma ...... 3 Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, and Alan L. Yuille

MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection...... 13 Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, and Yizhou Yu

Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification ...... 22 Yu Zhao, Yuan Liu, Yansheng Kan, Anjany Sekuboyina, Diana Waldmannstetter, Hongwei Li, Xiaobin Hu, Xiaozhi Zhao, Kuangyu Shi, and Bjoern Menze

BCD-Net for Low-Dose CT Reconstruction: Acceleration, Convergence, and Generalization ...... 31 Il Yong Chun, Xuehang Zheng, Yong Long, and Jeffrey A. Fessler

Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning ...... 41 Siyuan Pan, Xuhong Hou, Huating Li, Bin Sheng, Ruogu Fang, Yuxin Xue, Weiping Jia, and Jing Qin

Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks ...... 50 Mattias P. Heinrich

Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning ...... 59 Dan Nguyen, Azar Sadeghnejad Barkousaraie, Chenyang Shen, Xun Jia, and Steve Jiang

PAN: Projective Adversarial Network for Medical Image Segmentation . . . . . 68 Naji Khosravan, Aliasghar Mortazi, Michael Wallace, and Ulas Bagci xxx Contents – Part VI

Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction ...... 77 Haofu Liao, Wei-An Lin, Zhimin Huo, Levon Vogelsang, William J. Sehnert, S. Kevin Zhou, and Jiebo Luo

Multi-class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation ...... 86 Qin Liu, Xiongfeng Tang, Deming Guo, Yanguo Qin, Pengfei Jia, Yiqiang Zhan, Xiang Zhou, and Dijia Wu

LSRC: A Long-Short Range Context-Fusing Framework for Automatic 3D Vertebra Localization...... 95 Jintai Chen, Yanjie Wang, Ruoqian Guo, Bohan Yu, Tingting Chen, Wenzhe Wang, Ruiwei Feng, Danny Z. Chen, and Jian Wu

Contextual Deep Regression Network for Volume Estimation in Orbital CT ...... 104 Shikha Chaganti, Cam Bermudez, Louise A. Mawn, Thomas Lasko, and Bennett A. Landman

Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images ...... 112 Hristina Uzunova, Jan Ehrhardt, Fabian Jacob, Alex Frydrychowicz, and Heinz Handels

Deep Learning Based Metal Artifacts Reduction in Post-operative Cochlear Implant CT Imaging ...... 121 Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, and Hervé Delingette

ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans ...... 130 Mohammad Arafat Hussain, Ghassan Hamarneh, and Rafeef Garbi

DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy ...... 139 Yuting He, Guanyu Yang, Yang Chen, Youyong Kong, Jiasong Wu, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger, Pengfei Shao, Shaobo Zhang, Huazhong Shu, Jean-Louis Coatrieux, and Shuo Li

Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior ...... 148 Han Zheng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, and Jian Wu Contents – Part VI xxxi

Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network ...... 157 Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, and Yefeng Zheng

Unsupervised Deformable Image Registration Using Cycle-Consistent CNN...... 166 Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, and Jong Chul Ye

Volumetric Attention for 3D Medical Image Segmentation and Detection. . . . 175 Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, and Nuno Vasconcelos

Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention ...... 185 Qingyi Tao, Zongyuan Ge, Jianfei Cai, Jianxiong Yin, and Simon See

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation ...... 194 Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, and Ronald M. Summers

Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction...... 203 Haofu Liao, Wei-An Lin, Jianbo Yuan, S. Kevin Zhou, and Jiebo Luo

AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks ...... 212 Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, and Guang-Zhong Yang

Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation ...... 221 Jiang Jue, Hu Jason, Tyagi Neelam, Rimner Andreas, Berry L. Sean, Deasy O. Joseph, and Veeraraghavan Harini

Bronchus Segmentation and Classification by Neural Networks and Linear Programming ...... 230 Tianyi Zhao, Zhaozheng Yin, Jiao Wang, Dashan Gao, Yunqiang Chen, and Yunxiang Mao

Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models...... 240 Takayasu Moriya, Hirohisa Oda, Midori Mitarai, Shota Nakamura, Holger R. Roth, Masahiro Oda, and Kensaku Mori xxxii Contents – Part VI

Normal Appearance Autoencoder for Lung Cancer Detection and Segmentation ...... 249 Mehdi Astaraki, Iuliana Toma-Dasu, Örjan Smedby, and Chunliang Wang mlVIRNET: Multilevel Variational Image Registration Network ...... 257 Alessa Hering, Bram van Ginneken, and Stefan Heldmann

NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation ...... 266 Hao Tang, Chupeng Zhang, and Xiaohui Xie

Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition ...... 275 Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, and S. Kevin Zhou

Targeting Precision with Data Augmented Samples in Deep Learning ...... 284 Pietro Nardelli and Raúl San José Estépar

Pulmonary Vessel Segmentation Based on Orthogonal Fused U-Net++ of Chest CT Images ...... 293 Hejie Cui, Xinglong Liu, and Ning Huang

Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster ...... 301 Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, and Yefeng Zheng

Deep Variational Networks with Exponential Weighting for Learning Computed Tomography ...... 310 Valery Vishnevskiy, Richard Rau, and Orcun Goksel

R2-Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal ...... 319 Tiancheng Shen, Xia Li, Zhisheng Zhong, Jianlong Wu, and Zhouchen Lin

Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT ...... 328 Rongjun Ge, Guanyu Yang, Chenchu Xu, Yang Chen, Limin Luo, and Shuo Li

Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images ...... 339 Huai Chen, Xiuying Wang, Yijie Huang, Xiyi Wu, Yizhou Yu, and Lisheng Wang Contents – Part VI xxxiii

Tubular Structure Segmentation Using Spatial Fully Connected Network with Radial Distance Loss for 3D Medical Images ...... 348 Chenglong Wang, Yuichiro Hayashi, Masahiro Oda, Hayato Itoh, Takayuki Kitasaka, Alejandro F. Frangi, and Kensaku Mori

Bronchial Cartilage Assessment with Model-Based GAN Regressor ...... 357 Pietro Nardelli, George R. Washko, and Raúl San José Estépar

Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy...... 366 Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Išgum, and Marius Staring

Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis . . . . . 375 Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Maximilian Loeffler, Jan S. Kirschke, and Bjoern H. Menze

Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging ...... 384 Alexander Oliver Mader, Cristian Lorenz, Jens von Berg, and Carsten Meyer

Permutohedral Attention Module for Efficient Non-local Neural Networks . . . 393 Samuel Joutard, Reuben Dorent, Amanda Isaac, Sebastien Ourselin, Tom Vercauteren, and Marc Modat

Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels ...... 402 Martin Zlocha, Qi Dou, and Ben Glocker

X-ray Imaging

PRSNet: Part Relation and Selection Network for Bone Age Assessment . . . . 413 Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, and Di Lin

Mask Embedding for Realistic High-Resolution Medical Image Synthesis . . . 422 Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars J. Grimm, Jeffery R. Marks, and Joseph Y. Lo

TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays...... 431 Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, and Ronald M. Summers

Misshapen Pelvis Landmark Detection by Spatial Local Correlation Mining for Diagnosing Developmental Dysplasia of the Hip ...... 441 Chuanbin Liu, Hongtao Xie, Sicheng Zhang, Jingyuan Xu, Jun Sun, and Yongdong Zhang xxxiv Contents – Part VI

Adversarial Policy Gradient for Deep Learning Image Augmentation...... 450 Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, and Valentina Pedoia

Weakly Supervised Universal Fracture Detection in Pelvic X-Rays ...... 459 Yirui Wang, Le Lu, Chi-Tung Cheng, Dakai Jin, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, and Shun Miao

Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography...... 468 Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, and Yi Zhao

From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network...... 477 Yuhang Liu, Zhen Zhou, Shu Zhang, Ling Luo, Qianyi Zhang, Fandong Zhang, Xiuli Li, Yizhou Wang, and Yizhou Yu

Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis ...... 486 Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, and David I. Laurenson

Uncertainty Measurements for the Reliable Classification of Mammograms...... 495 Mickael Tardy, Bruno Scheffer, and Diana Mateus

GraphXNETÀ Chest X-Ray Classification Under Extreme Minimal Supervision ...... 504 Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, and Carola-Bibiane Schönlieb

3DFPN-HS2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection ...... 513 Jingya Liu, Liangliang Cao, Oguz Akin, and Yingli Tian

Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays ...... 522 Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, and Tanveer Syeda-Mahmood

Hand Pose Estimation for Pediatric Bone Age Assessment ...... 531 María Escobar, Cristina González, Felipe Torres, Laura Daza, Gustavo Triana, and Pablo Arbeláez Contents – Part VI xxxv

An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms ...... 540 Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, and Xinbo Gao

Learning-Based X-Ray Image Denoising Utilizing Model-Based Image Simulations...... 549 Sai Gokul Hariharan, Christian Kaethner, Norbert Strobel, Markus Kowarschik, Shadi Albarqouni, Rebecca Fahrig, and Nassir Navab

LVC-Net: Medical Image Segmentation with Noisy Label Based on Local Visual Cues ...... 558 Yucheng Shu, Xiao Wu, and Weisheng Li

Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation ...... 567 Xiaoqian Jia, Sicheng Wang, Xiao Liang, Anjali Balagopal, Dan Nguyen, Ming Yang, Zhangyang Wang, Jim Xiuquan Ji, Xiaoning Qian, and Steve Jiang

Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation ...... 576 Haidong Zhu, Jialin Shi, and Ji Wu

Anatomical Priors for Image Segmentation via Post-processing with Denoising Autoencoders ...... 585 Agostina J. Larrazabal, Cesar Martinez, and Enzo Ferrante

Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs ...... 594 Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, and Huiying Liang

Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk ...... 603 Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-kan Tseng, and Le Lu

Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray ...... 613 Xi Ouyang, Zhong Xue, Yiqiang Zhan, Xiang Sean Zhou, Qingfeng Wang, Ying Zhou, Qian Wang, and Jie-Zhi Cheng

Multi-task Localization and Segmentation for X-Ray Guided Planning in Knee Surgery ...... 622 Florian Kordon, Peter Fischer, Maxim Privalov, Benedict Swartman, Marc Schnetzke, Jochen Franke, Ruxandra Lasowski, Andreas Maier, and Holger Kunze xxxvi Contents – Part VI

Towards Fully Automatic X-Ray to CT Registration ...... 631 Javier Esteban, Matthias Grimm, Mathias Unberath, Guillaume Zahnd, and Nassir Navab

Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks ...... 640 Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, and Seyed-Ahmad Ahmadi

How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning ...... 649 Maximilian Blendowski, Hannes Nickisch, and Mattias P. Heinrich

Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis ...... 658 Jiancheng Yang, Rongyao Fang, Bingbing Ni, Yamin Li, Yi Xu, and Linguo Li

Extract Bone Parts Without Human Prior: End-to-end Convolutional Neural Network for Pediatric Bone Age Assessment ...... 667 Chuanbin Liu, Hongtao Xie, Yizhi Liu, Zhengjun Zha, Fanchao Lin, and Yongdong Zhang

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment ...... 676 Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Guendel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, and Dorin Comaniciu

Adversarial Regression Training for Visualizing the Progression of Chronic Obstructive Pulmonary Disease with Chest X-Rays ...... 685 Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet, and Tolga Tasdizen

Medical-based Deep Curriculum Learning for Improved Fracture Classification ...... 694 Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel A. González Ballester, and Gemma Piella

Realistic Breast Mass Generation Through BIRADS Category ...... 703 Hakmin Lee, Seong Tae Kim, Jae-Hyeok Lee, and Yong Man Ro

Learning from Longitudinal Mammography Studies ...... 712 Shaked Perek, Lior Ness, Mika Amit, Ella Barkan, and Guy Amit Contents – Part VI xxxvii

Automatic Radiology Report Generation Based on Multi-view Image Fusion and Medical Concept Enrichment ...... 721 Jianbo Yuan, Haofu Liao, Rui Luo, and Jiebo Luo

Multi-label Thoracic Disease Image Classification with Cross-Attention Networks ...... 730 Congbo Ma, Hu Wang, and Steven C. H. Hoi

InfoMask: Masked Variational Latent Representation to Localize Chest Disease ...... 739 Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di Jorio, Ghassan Hamarneh, and Yoshua Bengio

Longitudinal Change Detection on Chest X-rays Using Geometric Correlation Maps ...... 748 Dong Yul Oh, Jihang Kim, and Kyong Joon Lee

Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation ...... 757 Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, and Tom Drummond

Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space ...... 766 Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, and Linwei Wang

An Automated Cobb Angle Estimation Method Using Convolutional Neural Network with Area Limitation ...... 775 Kailai Zhang, Nanfang Xu, Guosheng Yang, Ji Wu, and Xiangling Fu

Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data...... 784 Maayan Frid-Adar, Rula Amer, and Hayit Greenspan

Learning Interpretable Features via Adversarially Robust Optimization . . . . . 793 Ashkan Khakzar, Shadi Albarqouni, and Nassir Navab

Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs ...... 801 Gongfa Jiang, Yao Lu, Jun Wei, and Yuesheng Xu

Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations ...... 810 Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, and Marleen de Bruijne xxxviii Contents – Part VI

Improved Inference via Deep Input Transfer...... 819 Saeid Asgari Taghanaki, Kumar Abhishek, and Ghassan Hamarneh

Neural Architecture Search for Adversarial Medical Image Segmentation . . . . 828 Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, and Eric Xing

MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces ...... 837 Chunfeng Lian, Li Wang, Tai-Hsien Wu, Mingxia Liu, Francisca Durán, Ching-Chang Ko, and Dinggang Shen

Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks ...... 846 Fei-Fei Xue, Jin Peng, Ruixuan Wang, Qiong Zhang, and Wei-Shi Zheng

Author Index ...... 855