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

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 III

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 978-3-030-00930-4 ISBN 978-3-030-00931-1 (eBook) https://doi.org/10.1007/978-3-030-00931-1

Library of Congress Control Number: 2018909526

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

© Springer Nature Switzerland AG 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 III

Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging

Multimodal Fusion of Brain Networks with Longitudinal Couplings ...... 3 Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, and Yalin Wang

Penalized Geodesic Tractography for Mitigating Gyral Bias ...... 12 Ye Wu, Yuanjing Feng, Dinggang Shen, and Pew-Thian Yap

Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives ...... 20 Peter F. Neher, Bram Stieltjes, and Klaus H. Maier-Hein

Tract-Specific Group Analysis in Fetal Cohorts Using in utero Diffusion Tensor Imaging...... 28 Shadab Khan, Caitlin K. Rollins, Cynthia M. Ortinau, Onur Afacan, Simon K. Warfield, and Ali Gholipour

Tract Orientation Mapping for Bundle-Specific Tractography ...... 36 Jakob Wasserthal, Peter F. Neher, and Klaus H. Maier-Hein

A Multi-Tissue Global Estimation Framework for Asymmetric Fiber Orientation Distributions ...... 45 Ye Wu, Yuanjing Feng, Dinggang Shen, and Pew-Thian Yap

Diffusion Tensor Imaging and Functional MRI: Diffusion Weighted Imaging

Better Fiber ODFs from Suboptimal Data with Autoencoder Based Regularization...... 55 Kanil Patel, Samuel Groeschel, and Thomas Schultz

Identification of Gadolinium Contrast Enhanced Regions in MS Lesions Using Brain Tissue Microstructure Information Obtained from Diffusion and T2 Relaxometry MRI ...... 63 Sudhanya Chatterjee, Olivier Commowick, Onur Afacan, Simon K. Warfield, and Christian Barillot

A Bayes Hilbert Space for Compartment Model Computing in Diffusion MRI ...... 72 Aymeric Stamm, Olivier Commowick, Alessandra Menafoglio, and Simon K. Warfield XXII Contents – Part III

Detection and Delineation of Acute Cerebral Infarct on DWI Using Weakly Supervised Machine Learning...... 81 Stefano Pedemonte, Bernardo Bizzo, Stuart Pomerantz, Neil Tenenholtz, Bradley Wright, Mark Walters, Sean Doyle, Adam McCarthy, Renata Rocha De Almeida, Katherine Andriole, Mark Michalski, and R. Gilberto Gonzalez

Identification of Species-Preserved Cortical Landmarks ...... 89 Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Lei Guo, and Tianming Liu

Deep Learning with Synthetic Diffusion MRI Data for Free-Water Elimination in Glioblastoma Cases ...... 98 Miguel Molina-Romero, Benedikt Wiestler, Pedro A. Gómez, Marion I. Menzel, and Bjoern H. Menze

Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction ...... 107 Adriano Pinto, Sérgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, and Mauricio Reyes

Harmonizing Diffusion MRI Data Across Magnetic Field Strengths...... 116 Suheyla Cetin Karayumak, Marek Kubicki, and Yogesh Rathi

Diffusion Tensor Imaging and Functional MRI: Functional MRI

Normative Modeling of Neuroimaging Data Using Scalable Multi-task Gaussian Processes ...... 127 Seyed Mostafa Kia and Andre Marquand

Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns ...... 136 Han Zhang, Natalie Stanley, Peter J. Mucha, Weiyan Yin, Weili Lin, and Dinggang Shen

A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity ...... 145 Qingyu Zhao, Dongjin Kwon, and Kilian M. Pohl

Elastic Registration of Single Subject Task Based fMRI Signals ...... 154 David S. Lee, Joana Loureiro, Katherine L. Narr, Roger P. Woods, and Shantanu H. Joshi

A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data ...... 163 Niharika Shimona D’Souza, Mary Beth Nebel, Nicholas Wymbs, Stewart Mostofsky, and Archana Venkataraman Contents – Part III XXIII

3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls...... 172 Yu Zhao, Fangfei Ge, Shu Zhang, and Tianming Liu

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN) ...... 181 Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, and Tianming Liu

The Dynamic Measurements of Regional Brain Activity for Resting-State fMRI: d-ALFF, d-fALFF and d-ReHo ...... 190 Chao Tang, Yuqing Wei, Jiajia Zhao, and Jingxin Nie rfDemons: Resting fMRI-Based Cortical Surface Registration Using the BrainSync Transform ...... 198 Anand A. Joshi, Jian Li, Minqi Chong, Haleh Akrami, and Richard M. Leahy

Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI . . . . 206 Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, and James S. Duncan

Neural Activation Estimation in Brain Networks During Task and Rest Using BOLD-fMRI ...... 215 Michael Hütel, Andrew Melbourne, and Sebastien Ourselin

Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization ...... 223 Hongming Li, Xiaofeng Zhu, and Yong Fan

Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI ...... 232 Hongming Li and Yong Fan

Identifying Personalized Autism Related Impairments Using Resting Functional MRI and ADOS Reports ...... 240 Omar Dekhil, Mohamed Ali, Ahmed Shalaby, Ali Mahmoud, Andy Switala, Mohammed Ghazal, Hassan Hajidiab, Begonya Garcia-Zapirain, Adel Elmaghraby, Robert Keynton, Gregory Barnes, and Ayman El-Baz

Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis ...... 249 Weizheng Yan, Han Zhang, Jing Sui, and Dinggang Shen XXIV Contents – Part III

Structured Deep Generative Model of fMRI Signals for Mental Disorder Diagnosis...... 258 Takashi Matsubara, Tetsuo Tashiro, and Kuniaki Uehara

Cardiac Cycle Estimation for BOLD-fMRI...... 267 Michael Hütel, Andrew Melbourne, David L. Thomas, and Sebastien Ourselin

Probabilistic Source Separation on Resting-State fMRI and Its Use for Early MCI Identification...... 275 Eunsong Kang and Heung-Il Suk

Identifying Brain Networks of Multiple Time Scales via Deep Recurrent Neural Network ...... 284 Yan Cui, Shijie Zhao, Han Wang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Fan Zhou, and Tianming Liu

A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis ...... 293 Tae-Eui Kam, Han Zhang, and Dinggang Shen

A Region-of-Interest-Reweight 3D Convolutional Neural Network for the Analytics of Brain Information Processing ...... 302 Xiuyan Ni, Zhennan Yan, Tingting Wu, Jin Fan, and Chao Chen

Quantitative Deconvolution of fMRI Data with Multi-echo Sparse Paradigm Free Mapping...... 311 César Caballero-Gaudes, Stefano Moia, Peter A. Bandettini, and Javier Gonzalez-Castillo

Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks ...... 320 Hongming Li and Yong Fan

Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets...... 329 Nicha C. Dvornek, Daniel Yang, Pamela Ventola, and James S. Duncan

Diffusion Tensor Imaging and Functional MRI: Human Connectome

Fast Mapping of the Eloquent Cortex by Learning L2 Penalties ...... 341 Nico Hoffmann, Uwe Petersohn, Gabriele Schackert, Edmund Koch, Stefan Gumhold, and Matthias Kirsch

Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models ...... 349 Siyuan Gao, Abigail S. Greene, R. Todd Constable, and Dustin Scheinost Contents – Part III XXV

Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity ...... 357 Shu Zhang, Tianming Liu, and Dajiang Zhu

Phase Angle Spatial Embedding (PhASE): A Kernel Method for Studying the Topology of the Human Functional Connectome ...... 367 Zachery Morrissey, Liang Zhan, Hyekyoung Lee, Johnson Keiriz, Angus Forbes, Olusola Ajilore, Alex Leow, and Moo Chung

Edema-Informed Anatomically Constrained Particle Filter Tractography. . . . . 375 Samuel Deslauriers-Gauthier, Drew Parker, François Rheault, Rachid Deriche, Steven Brem, Maxime Descoteaux, and Ragini Verma

Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation...... 383 Carla Semedo, M. Jorge Cardoso, Sjoerd B. Vos, Carole H. Sudre, Martina Bocchetta, Annemie Ribbens, Dirk Smeets, Jonathan D. Rohrer, and Sebastien Ourselin

On Quantifying Local Geometric Structures of Fiber Tracts ...... 392 Jian Cheng, Tao Liu, Feng Shi, Ruiliang Bai, Jicong Zhang, Haogang Zhu, Dacheng Tao, and Peter J. Basser

Neuroimaging and Brain Segmentation Methods: Neuroimaging

Modeling Longitudinal Voxelwise Feature Change in Normal Aging with Spatial-Anatomical Regularization ...... 403 Zhuo Sun, Wei Xu, Shuhao Wang, Junhai Xu, and Yuchuan Qiao

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis ...... 411 Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, and Dinggang Shen

A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis...... 420 Yonghui Fan, Gang Wang, Natasha Lepore, and Yalin Wang

Graph of Brain Structures Grading for Early Detection of Alzheimer’s Disease ...... 429 Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé, and the Alzheimer’s Disease Neuroimaging Initiative

Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia ...... 437 Can Gafuroğlu, Islem Rekikfor, and for the Alzheimer’s Disease Neuroimaging Initiative XXVI Contents – Part III

Temporal Correlation Structure Learning for MCI Conversion Prediction . . . . 446 Xiaoqian Wang, Weidong Cai, Dinggang Shen, and Heng Huang

Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer’s Disease Diagnosis...... 455 Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia, and Dinggang Shen

Exploratory Population Analysis with Unbalanced Optimal Transport ...... 464 Samuel Gerber, Marc Niethammer, Martin Styner, and Stephen Aylward

Multi-modal Synthesis of ASL-MRI Features with KPLS Regression on Heterogeneous Data ...... 473 Toni Lassila, Helena M. Faria, Ali Sarrami-Foroushani, Francesca Meneghello, Annalena Venneri, and Alejandro F. Frangi

A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models ...... 482 Jeff Craley, Emily Johnson, and Archana Venkataraman

Deep Convolutional Networks for Automated Detection of Epileptogenic Brain Malformations ...... 490 Ravnoor S. Gill, Seok-Jun Hong, Fatemeh Fadaie, Benoit Caldairou, Boris C. Bernhardt, Carmen Barba, Armin Brandt, Vanessa C. Coelho, Ludovico d’Incerti, Matteo Lenge, Mira Semmelroch, Fabrice Bartolomei, Fernando Cendes, Francesco Deleo, Renzo Guerrini, Maxime Guye, Graeme Jackson, Andreas Schulze-Bonhage, Tommaso Mansi, Neda Bernasconi, and Andrea Bernasconi

Binary Glioma Grading: Radiomics versus Pre-trained CNN Features ...... 498 Milan Decuyper, Stijn Bonte, and Roel Van Holen

Automatic Irregular Texture Detection in Brain MRI Without Human Supervision ...... 506 Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, and Taku Komura

Learning Myelin Content in Multiple Sclerosis from Multimodal MRI Through Adversarial Training ...... 514 Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, and Olivier Colliot

Deep Multi-structural Shape Analysis: Application to Neuroanatomy ...... 523 Benjamín Gutiérrez-Becker and Christian Wachinger Contents – Part III XXVII

Computational Modelling of Pathogenic Protein Behaviour-Governing Mechanisms in the Brain ...... 532 Konstantinos Georgiadis, Alexandra L. Young, Michael Hütel, Adeel Razi, Carla Semedo, Jonathan Schott, Sébastien Ourselin, Jason D. Warren, and Marc Modat

Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging ...... 540 Erdem Varol, Aristeidis Sotiras, Ke Zeng, and Christos Davatzikos

Using the Anisotropic Laplace Equation to Compute Cortical Thickness . . . . 549 Anand A. Joshi, Chitresh Bhushan, Ronald Salloum, Jessica L. Wisnowski, David W. Shattuck, and Richard M. Leahy

Dilatation of Lateral Ventricles with Brain Volumes in Infants with 3D Transfontanelle US ...... 557 Marc-Antoine Boucher, Sarah Lippé,Amélie Damphousse, Ramy El-Jalbout, and Samuel Kadoury

Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? ...... 566 Islem Rekik, Gang Li, Weili Lin, and Dinggang Shen

Multi-label Transduction for Identifying Disease Comorbidity Patterns...... 575 Ehsan Adeli, Dongjin Kwon, and Kilian M. Pohl

Text to Brain: Predicting the Spatial Distribution of Neuroimaging Observations from Text Reports ...... 584 Jérôme Dockès, Demian Wassermann, Russell Poldrack, Fabian Suchanek, Bertrand Thirion, and Gaël Varoquaux

Neuroimaging and Brain Segmentation Methods: Brain Segmentation Methods

Semi-supervised Learning for Segmentation Under Semantic Constraint. . . . . 595 Pierre-Antoine Ganaye, Michaël Sdika, and Hugues Benoit-Cattin

Autofocus Layer for Semantic Segmentation...... 603 Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison Cottrell, Antonio Criminisi, and Aditya Nori

3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes ...... 612 Ken C. L. Wong, Mehdi Moradi, Hui Tang, and Tanveer Syeda-Mahmood XXVIII Contents – Part III

Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding ...... 620 Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Islem Rekik, Nadine Hahner, Elisenda Eixarch, Miguel Angel González Ballester, Dinggang Shen, and Gang Li

CompNet: Complementary Segmentation Network for Brain MRI Extraction ...... 628 Raunak Dey and Yi Hong

One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation ...... 637 Chenhong Zhou, Changxing Ding, Zhentai Lu, Xinchao Wang, and Dacheng Tao

Deep Recurrent Level Set for Segmenting Brain Tumors ...... 646 T. Hoang Ngan Le, Raajitha Gummadi, and Marios Savvides

Pulse Sequence Resilient Fast Brain Segmentation ...... 654 Amod Jog and Bruce Fischl

Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks...... 663 Hannah Spitzer, Kai Kiwitz, Katrin Amunts, Stefan Harmeling, and Timo Dickscheid

Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks ...... 672 Zhengwang Wu, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, and Dinggang Shen

Joint Segmentation of Intracerebral Hemorrhage and Infarct from Non-Contrast CT Images of Post-treatment Acute Ischemic Stroke Patients ...... 681 Hulin Kuang, Mohamed Najm, Bijoy K. Menon, and Wu Qiu

Patch-Based Mapping of Transentorhinal Cortex with a Distributed Atlas. . . . 689 Jin Kyu Gahm, Yuchun Tang, and Yonggang Shi

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data...... 698 Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, and Bennett A. Landman

Adaptive Feature Recombination and Recalibration for Semantic Segmentation: Application to Brain Tumor Segmentation in MRI ...... 706 Sérgio Pereira, Victor Alves, and Carlos A. Silva Contents – Part III XXIX

Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection...... 715 Weicheng Kuo, Christian Häne, Esther Yuh, Pratik Mukherjee, and Jitendra Malik

Author Index ...... 725