Lecture Notes in Computer Science 11766

Founding Editors

Gerhard GoosKarlsruhe Institute of Technology, Karlsruhe, Germany

Juris HartmanisCornell University, Ithaca, NY, USA

Editorial Board Members

Elisa BertinoPurdue University, West Lafayette, IN, USA

Wen GaoPeking University, Beijing, China

Bernhard SteffenTU Dortmund University, Dortmund, Germany

Gerhard WoegingerRWTH Aachen, Aachen, Germany

Moti YungColumbia 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 Computingand Computer AssistedIntervention – MICCAI 201922nd International ConferenceShenzhen, China, October 13–17, 2019Proceedings, Part III

123

EditorsDinggang ShenUniversity of North Carolinaat Chapel HillChapel Hill, NC, USA

Tianming LiuUniversity of GeorgiaAthens, GA, USA

Terry M. PetersWestern UniversityLondon, ON, Canada

Lawrence H. StaibYale UniversityNew Haven, CT, USA

Caroline EssertUniversity of StrasbourgIllkirch, France

Sean ZhouUnited Imaging IntelligenceShanghai, China

Pew-Thian YapUniversity of North Carolinaat Chapel HillChapel Hill, NC, USA

Ali KhanWestern UniversityLondon, ON, Canada

ISSN 0302-9743 ISSN 1611-3349 (electronic)Lecture Notes in Computer ScienceISBN 978-3-030-32247-2 ISBN 978-3-030-32248-9 (eBook)https://doi.org/10.1007/978-3-030-32248-9

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

© Springer Nature Switzerland AG 2019, corrected publication 2019This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of thematerial 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 informationstorage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology nowknown or hereafter developed.The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoes not imply, even in the absence of a specific statement, that such names are exempt from the relevantprotective 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 arebelieved to be true and accurate at the date of publication. Neither the publisher nor the authors or the editorsgive a warranty, expressed or implied, with respect to the material contained herein or for any errors oromissions that may have been made. The publisher remains neutral with regard to jurisdictional claims inpublished maps and institutional affiliations.

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

Preface

We are pleased to present the proceedings for the 22nd International Conference onMedical Image Computing and Computer-Assisted Intervention (MICCAI), which washeld at the InterContinental Hotel, Shenzhen, China, October 13–17, 2019. Theconference also featured 34 workshops, 13 tutorials, and 22 challenges held onOctober 13 or 17. MICCAI 2019 had an approximately 63% increase in submissionsand accepted papers compared with MICCAI 2018. These papers, which comprise sixvolumes of Lecture Notes in Computer Science (LNCS) proceedings, were selectedafter a thorough double-blind peer-review process. Following the example set by theprevious program chairs of MICCAI 2018 and 2017, we employed Microsoft’sConference Managing Toolkit (CMT) for paper submissions and double-blindpeer-reviews, and the Toronto Paper Matching System (TPMS) to assist withautomatic paper assignment to area chairs and reviewers.

From 2625 original intentions to submit, 1809 full submissions were received andsent out to peer-review. Of these, 63% were considered as pure Medical ImageComputing (MIC), 5% as pure Computer-Assisted Interventions (CAI), and 32% asboth MIC and CAI. The MICCAI 2019 Program Committee (PC) comprised 69 areachairs, with 25 from the Americas, 21 from Europe, and 23 from Asia/Pacific/MiddleEast. Each area chair was assigned *25 manuscripts, with up to 15 suggested potentialreviewers using TPMS scoring and self-declared research areas. Subsequently, over1200 invited reviewers were asked to bid for the papers for which they had beensuggested. Final reviewer allocations via CMT took account of PC suggestions,reviewer bidding, and TPMS scores, finally allocating 5–6 papers per reviewer. Basedon the double-blinded reviews, 306 papers (17%) were accepted immediately, and920 papers (51%) were rejected, with the remainder being sent for rebuttal. Thesedecisions were confirmed by the area chairs. During the rebuttal phase, two additionalarea chairs were assigned to each rebuttal paper using CMT and TPMS scores, whothen independently scored them to accept or reject, based on the reviews, rebuttal, andmanuscript, resulting in clear paper decisions using majority voting. This processresulted 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 andcollect PC feedback on the peer-review process.

For the MICCAI 2019 proceedings, 538 accepted papers have been organized in sixvolumes as follows:

Part I, LNCS Volume 11764: Optical Imaging; Endoscopy; MicroscopyPart II, LNCS Volume 11765: Image Segmentation; Image Registration;Cardiovascular Imaging; Growth, Development, Atrophy, and ProgressionPart III, LNCS Volume 11766: Neuroimage Reconstruction and Synthesis;Neuroimage Segmentation; Diffusion-Weighted Magnetic Resonance Imaging;Functional Neuroimaging (fMRI); Miscellaneous NeuroimagingPart 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 CAIPart VI, LNCS Volume 11769: Computed Tomography; X-ray Imaging

We would like to thank everyone who contributed to the success of MICCAI 2019and the quality of its proceedings, particularly the MICCAI Society for support,insightful comments, and providing funding for Kitty Wong to be the ongoingConference System Manager. Given the increase in workload for this year’s meeting,the Program Committee simply could not have functioned effectively without her, andshe will provide ongoing oversight of the review process for future MICCAIconferences. Without the dedication and support of all of the organizers of theworkshops, tutorials, and challenges, under the guidance of Kenji Suzuki, together withsatellite event chairs Hongen Liao, Qian Wang, Luping Zhou, Hayit Greenspan, andBram van Ginneken, none of these peripheral events would have been feasible.

Also, the Industry Forum (led by Xiaodong Tao and Yiqiang Zhan), the IndustrySession (led by Sean Zhou), as well as the Doctoral Symposium (led by JunzhouHuang 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-readyproceedings for publication by Springer.

Behind the scenes, MICCAI secretariat personnel, Janette Wallace and JohanneLangford, kept a close eye on logistics and budgets, while Doris Lam and her teamfrom Momentous Asia, this year’s Professional Conference Organization, along withthe Local Organizing Committee chair, Dong Ni (together with Jing Qin, Qianjin Feng,Dong Liang, Xiaoying Tang), handled the website and local organization. The StudentTravel Award Committee chaired by Huiguang He, Jun Shi, and Xi Jiang evaluatednumerous applications, including awards for undergraduate students, which is new inthe history of MICCAI. We also thank our sponsors for their financial support andpresence on site. We are especially grateful to all members of the Program Committeefor their diligent work in the reviewer assignments and final paper selection, as well asthe reviewers for their support during the entire process. Finally, and most importantly,we thank all authors, co-authors, students/postdocs, and supervisors, for submitting andpresenting their high-quality work that made MICCAI 2019 a greatly enjoyable,informative, and successful event. We are indebted to those reviewers and PC memberswho helped us resolve issues relating to last-minute missing reviews. Overall, we thankall of the authors and attendees for making MICCAI 2019 a spectacular success. Welook forward to seeing you in Lima, Peru at MICCAI 2020!

October 2019 Dinggang ShenTianming Liu

Terry M. PetersLawrence H. Staib

Caroline EssertSean Zhou

Pew-Thian YapAli Khan

The original version of the book was revised: For detailed information see correctionchapter. The correction to the book is available at https://doi.org/10.1007/978-3-030-32248-9_98

vi Preface

Organization

General Chairs

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

Program Executive

Terry Peters Robarts Research Institute, Western University, CanadaLawrence H. Staib Yale University, USASean Zhou United Imaging Intelligence (UII), ChinaCaroline Essert University of Strasbourg, FrancePew-Thian Yap The University of North Carolina at Chapel Hill, USAAli 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, USAHayit Greenspan Tel Aviv University, IsraelBram van Ginneken Radboud University Medical Center, The NetherlandsQian Wang Shanghai Jiao Tong University, ChinaLuping Zhou The University of Sydney, AustraliaHongen Liao Tsinghua University, China

MICCAI Society, Board of Directors

Leo Joskowicz (President) The Hebrew University of Jerusalem, IsraelStephen Aylward

(Treasurer)Kitware, Inc., NY, USA

Josien Pluim (Secretary) Eindhoven University of Technology, The NetherlandsWiro Niessen

(Past President)Erasmus Medical Centre, The Netherlands

Marleen de Bruijne Erasmus Medical Centre, The Netherlandsand University of Copenhagen, Denmark

Hervé Delinguette Inria, Sophia Antipolis, FranceCaroline Essert University of Strasbourg, FranceAlejandro Frangi University of Leeds, UKLena Maier-Hein German Cancer Research Center, Germany

Shuo Li Western University, London, CanadaTianming Liu University of Georgia, USAAnne Martel University of Toronto, CanadaDaniel Racoceanu Pontifical Catholic University of Peru, PeruJulia Schnabel King’s College, London, UKGuoyan Zheng Institute for Surgical Technology & Biomechanics,

SwitzerlandKevin Zhou Chinese Academy of Sciences, China

Industry Forum

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

Publication Committee

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

Finance Committee

Dong Ni Shenzhen University, ChinaJanette Wallace Robarts Research Institute, Western University, CanadaStephen Aylward Kitware, Inc., USA

Local Organization Chairs

Dong Ni Shenzhen University, ChinaJing Qin The Hong Kong Polytechnic University, SAR ChinaQianjin Feng Southern Medical University, ChinaDong Liang Shenzhen Institutes of Advanced Technology,

Chinese Academy of Sciences, ChinaXiaoying Tang Southern University of Science and Technology, China

Sponsors and Publicity Liaison

Kevin Zhou Institute of Computing Technology, Chinese Academyof Sciences, China

Hongen Liao Tsinghua University, ChinaWenjian Qin Shenzhen Institutes of Advanced Technology,

Chinese Academy of Sciences, China

viii Organization

Keynote Lectures Chairs

Max Viergever University Medical Center Utrecht, The NetherlandsKensaku Mori Nagoya University, JapanGözde Ünal Istanbul Technical University, Turkey

Student Travel Award Committee

Huiguang He Institute of Automation, Chinese Academy of Sciences,China

Jun Shi Shanghai University, ChinaXi Jiang University of Electronic Science and Technology

of China, China

Student Activities Liaison

Julia Schnabel King’s College London, UKCaroline Essert University of Strasbourg, FranceDimitris Metaxas Rutgers University, USAMICCAI Student Board Members

Area Chairs

Purang Abolmaesumi The University of British Columbia, CanadaShadi Albarqouni The Technical University of Munich (TUM), GermanyElsa Angelini Imperial College London, UKSuyash Awate Indian Institute of Technology (IIT) Bombay, IndiaUlas Bagci University of Central Florida (UCF), USAKayhan Batmanghelich University of Pittsburgh, USAChristian Baumgartner Swiss Federal Institute of Technology Zurich,

SwitzerlandIsmail Ben Ayed Ecole de Technologie Superieure (ETS), CanadaWeidong Cai The University of Sydney, AustraliaXiaohuan Cao United Imaging Intelligence (UII), ChinaElvis Chen Robarts Research Institute, Western University, CanadaXinjian Chen Soochow University, ChinaJian Cheng Beihang University, ChinaJun Cheng Cixi Institute of Biomedical Engineering, Chinese

Academy of Sciences, ChinaVeronika Cheplygina Eindhoven University of Technology, The NetherlandsElena De Momi Politecnico di Milano, ItalyAyman El-Baz University of Louisville, USAAaron Fenster Robarts Research Institute, Western University, USAMoti Freiman Philips Healthcare, The NetherlandsYue Gao Tsinghua University, China

Organization ix

Xiujuan Geng Chinese University of Hong Kong, SAR ChinaStamatia Giannarou Imperial College London, UKOrcun Goksel Swiss Federal Institute of Technology Zurich,

SwitzerlandXiao Han AI Healthcare Center, Tencent Inc., ChinaHuiguang He Institute of Automation, Chinese Academy of Sciences,

ChinaYi Hong The University of Georgia, USAJunzhou Huang The University of Texas at Arlington, USAXiaolei Huang The Pennsylvania State University, USAJuan Eugenio Iglesias University College London, UKPierre Jannin The University of Rennes, FranceBernhard Kainz Imperial College London, UKAli Kamen Siemens Healthcare, USAJaeil Kim Kyungpook National University, South KoreaAndrew King King’s College London, UKKarim Lekadir Universitat Pompeu Fabra, SpainCristian Linte Rochester Institute of Technology, USAMingxia Liu The University of North Carolina at Chapel Hill, USAKlaus Maier-Hein German Cancer Research Center, GermanyAnne Martel Sunnybrook Research Institute, USAAndrew Melbourne University College London, UKAnirban Mukhopadhyay Technische Universität Darmstadt, GermanyAnqi Qiu National University of Singapore, SingaporeIslem Rekik Istanbul Technical University, TurkeyHassan Rivaz Concordia University, USAFeng Shi United Imaging Intelligence (UII), ChinaAmber Simpson Memorial Sloan Kettering Cancer Center, USAMarius Staring Leiden University Medical Center, The NetherlandsHeung-Il Suk Korea University, South KoreaTanveer Syeda-Mahmood University Medical Center Utrecht, The NetherlandsXiaoying Tang Southern University of Science and Technology, ChinaPallavi Tiwari Case Western Reserve University, USAEmanuele Trucco University of Dundee, UKMartin Urschler Graz University of Technology, AustriaHien Van Nguyen University of Houston, USAArchana Venkataraman Johns Hopkins University, USAChristian Wachinger Ludwig Maximilian University of Munich, GermanyLinwei Wang Rochester Institute of Technology, USAYong Xia Northwestern Polytechnical University, ChinaYanwu Xu Baidu Inc., ChinaZhong Xue United Imaging Intelligence (UII), ChinaPingkun Yan Rensselaer Polytechnic Institute, USAXin Yang Huazhong University of Science and Technology,

ChinaYixuan Yuan City University of Hong Kong, SAR China

x Organization

Daoqiang Zhang Nanjing University of Aeronautics and Astronautics,China

Miaomiao Zhang Washington University in St. Louis, USATuo Zhang Northwestern Polytechnical University, ChinaGuoyan Zheng Shanghai Jiao Tong University, ChinaS. Kevin Zhou Institute of Computing Technology, Chinese Academy

of Sciences, ChinaDajiang Zhu The University of Texas at Arlington, USA

Reviewers

Abdi, AmirAbduljabbar, KhalidAdeli, EhsanAganj, ImanAggarwal, PriyaAgrawal, PrafulAhmad, OlaAhmad, SaharAhn, EuijoonAkbar, ShaziaAkhondi-Asl, AlirezaAkram, SaadAl-Kadi, OmarAlansary, AmirAlghamdi, HananAli, SharibAllan, MaximilianAmiri, MinaAnton, EstherAnwar, SyedArmin, MohammadAudigier, ChloeAviles-Rivero, AngelicaAwan, RuqayyaAwate, SuyashAydogan, DoguAzizi, ShekoofehBai, JunjieBai, WenjiaBalbastre, YaëlBalsiger, FabianBanerjee, AbhirupBano, Sophia

Barbu, AdrianBardosi, ZoltanBateson, MathildeBathula, DeeptiBatmanghelich, KayhanBaumgartner, ChristianBaur, ChristophBaxter, JohnBayramoglu, NeslihanBecker, BenjaminBehnami, DelaramBeig, NihaBelyaev, MikhailBenkarim, OualidBentaieb, AichaBernal, JoseBeyeler, MichaelBhatia, ParmeetBhole, ChetanBhushan, ChitreshBi, LeiBian, ChengBilinski, PiotrBise, RyomaBnouni, NesrineBo, WangBodenstedt, SebastianBogunovic, HrvojeBozorgtabar, BehzadBragman, FelixBraman, NathanielBridge, ChristopherBroaddus, Coleman

Organization xi

Bron, EstherBrooks, RupertBruijne, MarleenBühler, KatjaBui, DucBurlutskiy, NikolayBurwinkel, HendrikBustin, AurelienCabeen, RyanCai, HongminCai, JinzhengCai, YunliangCamino, AcnerCao, JiezhangCao, QingCao, TianCarapella, ValentinaCardenes, RubenCardoso, M.Carolus, HeikeCastro, DanielCattin, PhilippeChabanas, MatthieuChaddad, AhmadChaitanya, KrishnaChakraborty, JayasreeChakraborty, RudrasisChang, KenChang, VioletaCharaborty, TapabrataChatelain, PierreChatterjee, SudhanyaChen, AlvinChen, AntongChen, CameronChen, ChaoChen, ChenChen, ElvisChen, FangChen, FeiChen, GengChen, HanboChen, HaoChen, Jia-WeiChen, JialeiChen, Jianxu

Chen, JieChen, JingyunChen, LeiChen, LiangChen, MinChen, PingjunChen, QingchaoChen, XiaoChen, XiaoranChen, XinChen, XuejinChen, YangChen, YuanyuanChen, YuncongChen, ZhiqiangChen, ZhixiangCheng, JunCheng, LiCheng, YuanCheng, YupengCheriet, FaridaChong, MinqiChoo, JaegulChristiaens, DaanChristodoulidis, ArgyriosChristodoulidis, StergiosChung, AiÇiçek, ÖzgünCid, YashinClarkson, MatthewClough, JamesCollins, TobyCommowick, OlivierConze, Pierre-HenriCootes, TimothyCorreia, TeresaCoulon, OlivierCoupé, PierrickCourtecuisse, HadrienCraley, JeffreyCrimi, AlessandroCury, ClaireD’souza, NiharikaDai, HangDalca, AdrianDas, Abhijit

xii Organization

Das, DhritimanDeeba, FarahDekhil, OmarDemiray, BeatriceDeniz, CemDepeursinge, AdrienDesrosiers, ChristianDewey, BlakeDey, RaunakDhamala, JwalaDing, MengDistergoft, AlexanderDobrenkii, AntonDolz, JoseDong, LiangDong, MengjinDong, NanqingDong, XiaoDong, YanniDou, QiDu, ChangdeDu, LeiDu, ShaoyiDuan, DingnaDuan, LixinDubost, FlorianDuchateau, NicolasDuncan, JamesDuong, LucDvornek, NichaDzyubachyk, OlehEaton-Rosen, ZachEbner, MichaelEbrahimi, MehranEdwards, PhilipEgger, BernhardEguizabal, AlmaEinarsson, GudmundurEkin, AhmetElazab, AhmedElhabian, ShireenElmogy, MohammedEltanboly, AhmedErdt, MariusErnst, FlorisEsposito, Marco

Esteban, OscarFan, JingfanFan, XinFan, YongFan, YonghuiFang, XiFarag, AlyFarzi, MohsenFauser, JohannesFawaz, HassanFedorov, AndreyFehri, HamidFeng, ChiyuFeng, JunFeng, XinyangFeng, YuanFenster, AaronFerrante, EnzoFeydy, JeanFischer, LukasFischer, PeterFishbaugh, JamesFletcher, TomFlores, KevinForestier, GermainForkert, NilsFotouhi, JavadFountoukidou, TatianaFranz, AlfredFrau-Pascual, AinaFreysinger, WolfgangFripp, JurgenFu, HuazhuFunka-Lea, GarethFunke, IsabelFunke, JanFürnstahl, PhilippFurukawa, RyoGahm, JinGalassi, FrancescaGaldran, AdrianGan, YuGao, FeiGao, MingchenGao, SiyuanGao, Zhifan

Organization xiii

Gardezi, SyedGe, BaoGerber, SamuelGerig, GuidoGessert, NilsGevaert, OlivierGharabaghi, SaraGhesu, FlorinGhimire, SandeshGholipour, AliGhosal, SayanGiraud, RémiGlocker, BenGoceri, EvginGoetz, MichaelGomez, AlbertoGong, KuangGong, MingmingGonzalez, GermanGopal, SharathGopinath, KarthikGordon, ShiriGori, PietroGou, ShuipingGranados, AlejandroGrau, VicenteGreen, MichaelGritsenko, AndreyGrupp, RobertGu, LinGu, YunGu, ZaiwangGueziri, Houssem-EddineGuo, HengtaoGuo, JixiangGuo, XiaoqingGuo, YanrongGuo, YongGupta, KratikaGupta, VikashGutman, BorisGyawali, PrashnnaHacihaliloglu, IlkerHadjidemetriou, StathisHaldar, JustinHamarneh, Ghassan

Hamze, NouraHan, HuHan, JungongHan, XiaoguangHan, XuHan, ZhiHancox, JonnyHanson, ErikHao, XiaokeHaq, RabiaHarders, MatthiasHarrison, AdamHaskins, GrantHatamizadeh, AliHatt, CharlesHauptmann, AndreasHavaei, MohammadHe, TianchengHe, YufanHeimann, TobiasHeldmann, StefanHeller, NicholasHernandez-Matas, CarlosHernandez, MonicaHett, KilianHigger, MattHinkle, JacobHo, Tsung-YingHoffmann, NicoHolden, MatthewHong, SongHong, SungminHou, BenjaminHsu, Li-MingHu, DanHu, KaiHu, XiaoweiHu, XintaoHu, YanHu, YipengHuang, HengHuang, HuifangHuang, JiashuangHuang, KevinHuang, RuobingHuang, Shih-Gu

xiv Organization

Huang, WeilinHuang, XiaoleiHuang, YawenHuang, YixingHuang, YufangHuang, ZhongweiHuaulmé, ArnaudHuisman, HenkjanHuo, XingHuo, YuankaiHusch, AndreasHussein, SarfarazHutter, JanaHwang, SeongIcke, IlknurIgwe, KayIngalhalikar, MadhuraIrmakci, IsmailIvashchenko, OleksandraIzadyyazdanabadi, MohammadhassanJafari, MohammadJäger, PaulJamaludin, AmirJanatka, MirekJaouen, VincentJarayathne, UdithaJavadi, GolaraJaver, AvelinoJensen, ToddJi, ZexuanJia, HaozheJiang, JueJiang, SteveJiang, TingtingJiang, WeixiongJiang, XiJiao, JianboJiao, JieqingJiao, ZhichengJie, BiaoJin, DakaiJin, TaisongJin, YuemingJohn, RogersJoshi, AnandJoshi, Shantanu

Jud, ChristophJung, Kyu-HwanJungo, AlainKadkhodamohammadi, AbdolrahimKakileti, SivaKamnitsas, KonstantinosKang, EunsongKao, Po-YuKapoor, AnkurKarani, NeeravKarayumak, SuheylaKazi, AneesKerrien, ErwanKervadec, HoelKhalifa, FahmiKhalili, NadiehKhallaghi, SiavashKhalvati, FarzadKhan, HassanKhanal, BisheshKhansari, MaziyarKhosravan, NajiKia, SeyedKikinis, RonKim, GeenaKim, HosungKim, Hyo-EunKim, Jae-HunKim, JinmanKim, JinyoungKim, MinjeongKim, NamkugKim, SeongKim, Young-HoKitasaka, TakayukiKlein, StefanKlinder, TobiasKolli, KranthiKong, BinKong, Xiang-ZhenKonukoglu, EnderKoo, BongjinKoohbanani, NavidKopriva, IvicaKose, KivancKoutsoumpa, Christina

Organization xv

Kozinski, MateuszKrebs, JulianKrishnan, AnithapriyaKrishnaswamy, PavitraKrivov, EgorKruggel, FrithjofKrupinski, ElizabethKuang, HulinKügler, DavidKuijper, ArjanKulkarni, PrachiKumar, ArunKumar, AshnilKumar, KuldeepKumar, NeerajKumar, NitinKumaradevan, PunithakumarKunz, ManuelaKunze, HolgerKuo, WeichengKurc, TahsinKurmann, ThomasKwak, JinKwon, YongchanLaadhari, AymenLadikos, AlexanderLalonde, RodneyLamata, PabloLangs, GeorgLartizien, CaroleLasso, AndrasLau, FelixLaura, CristinaLe, NganLedig, ChristianLee, HansangLee, HyekyoungLee, Jong-HwanLee, KyongLee, MinhoLee, SoochahnLéger, ÉtienneLeger, StefanLei, BaiyingLekadir, KarimLenga, Matthias

Leow, WeeLessmann, NikolasLi, AnnanLi, BinLi, FuhaiLi, GangLi, GuoshiLi, HongweiLi, HongyingLi, HuiqiLi, JianLi, JianningLi, KeLi, MinliLi, QuanzhengLi, RongjianLi, ShaohuaLi, ShulongLi, ShuyuLi, WenqiLi, XiangLi, XianjunLi, XiaojieLi, XiaomengLi, XiaoxiaoLi, XiuliLi, YangLi, YuexiangLi, ZhangLi, Zhi-ChengLi, ZhiyuanLi, ZhjinLian, ChunfengLiang, JianmingLiang, ShanshanLiang, YudongLiao, RuizhiLiao, XiangyunLicandro, RoxaneLin, HongxiangLin, LanfenLin, MuqingLindner, ClaudiaLippert, ChristophLisowska, AnetaLitjens, Geert

xvi Organization

Liu, BinLiu, DaochangLiu, DongLiu, DongnanLiu, FangLiu, FeihongLiu, FengLiu, HongLiu, HuiLiu, JianfeiLiu, JiangLiu, JinLiu, JingLiu, JundongLiu, KefeiLiu, LiLiu, MingxiaLiu, NaLiu, PengLiu, ShenghuaLiu, SiqiLiu, SiyuanLiu, TianmingLiu, TiffanyLiu, XianglongLiu, YixunLiu, YongLiu, YueLiu, ZheLoddo, AndreaLopes, DanielLorenzi, MarcoLou, BinLu, AllenLu, DonghuanLu, JiwenLu, LeLu, WeijiaLu, YaoLu, Yueh-HsunLuo, GongningLuo, JieLv, JingleiLyu, IlwooLyu, JunyanMa, Benteng

Ma, BurtonMa, DaMa, KaiMa, XuelinMahapatra, DwarikanathMahdavi, SaraMahmoud, AliMaicas, GabrielMaier-Hein, KlausMaier, AndreasMakrogiannis, SokratisMalandain, GrégoireMalik, BilalMalpani, AnandMancini, MatteoManhart, MichaelManjon, JoseMansoor, AwaisMao, YunxiangMartel, AnneMartinez-Torteya, AntonioMathai, TejasMato, DavidMcclelland, JamieMcleod, JonathanMedrano-Gracia, PauMehta, RonakMeier, RaphaelMelbourne, AndrewMeng, QingjieMeng, XianjingMeng, YuMenze, BjoernMi, LiangMiao, ShunMichielse, StijnMidya, AbhishekMilchenko, MikhailMin, ZheMiyamoto, TadashiMo, YuanhanMolina, RafaelMontillo, AlbertMoradi, MehdiMoreno, RodrigoMortazi, Aliasghar

Organization xvii

Mozaffari, MohammadMuetzel, RyanMüller, HenningMuñoz-Barrutia, ArrateMunsell, BrentNadeem, SaadNahlawi, LayanNandakumar, NareshNardi, GiacomoNeila, PabloNi, DongNichols, ThomasNickisch, HannesNie, DongNie, JingxinNie, WeizhiNiethammer, MarcNigam, AdityaNing, LipengNiu, ShuaichengNiu, SijieNoble, JackNoblet, VincentNovo, JorgeO’donnell, ThomasObeid, MohammadOda, HirohisaOda, MasahiroOdry, BenjaminOeltze-Jafra, SteffenOksuz, IlkayOliveira, MarceloOliver, ArnauOñativia, JonOnofrey, JohnOrasanu, ElizaOrihuela-Espina, FelipeOrlando, JoseOsmanlioglu, YusufOtalora, SebastianPace, DaniellePagador, J.Pai, AkshayPan, YongshengPang, ShumaoPapiez, Bartlomiej

Parajuli, NripeshPark, HyunjinPark, JongchanPark, SanghyunPark, Seung-JongPaschali, MagdaliniPaul, AngshumanPayer, ChristianPei, YuruPeng, JialinPeng, TingyingPennec, XavierPerdomo, OscarPereira, SérgioPérez-Carrasco, Jose-AntonioPesteie, MehranPeter, LoicPeters, JorgPetitjean, CarolinePezold, SimonPfeiffer, MichaPhellan, RenzoPhophalia, AshishPisharady, PramodPlayout, ClementPluim, JosienPohl, KilianPortenier, TizianoPouch, AlisonPrasanna, PrateekPrevost, RaphaelPs, ViswanathPujades, SergiQi, XinQian, ZhenQiang, YanQiao, LishanQiao, YuchuanQin, ChenQin, WenjianQirong, BuQiu, WuQu, LiangqiongRaamana, PradeepRabbani, HosseinRackerseder, Julia

xviii Organization

Rad, RezaRafii-Tari, HedyehRajpoot, KashifRamachandram, DhaneshRan, LingyanRaniga, ParneshRashwan, HatemRathore, SaimaRatnarajah, NagulanRaval, MehulRavikumar, NishantRaviprakash, HarishRaza, ShanReaungamornrat, SurreeratRekik, IslemRemeseiro, BeatrizRempfler, MarkusRen, JianRen, XuhuaRen, YudanReyes-Aldasoro, ConstantinoReyes, MauricioRiedel, BrandalynRieke, NicolaRisser, LaurentRittner, LeticiaRivera, DiegoRo, YongRobinson, EmmaRobinson, RobertRodas, NicolasRodrigues, RafaelRohr, KarlRoohani, YusufRoszkowiak, LukaszRoth, HolgerRouco, JoséRoy, AbhijitRuijters, DannyRusu, MirabelaRutter, EricaS., SharathSabuncu, MertSachse, FrankSafta, WiemSaha, Monjoy

Saha, PramitSahu, ManishSamani, AbbasSamek, WojciechSánchez-Margallo, FranciscoSánchez-Margallo, JuanSankaran, SethuramanSanroma, GerardSao, AnilSarhan, MhdSarikaya, DuyguSarker, Md.Sato, ImariSaut, OlivierSavardi, MattiaSavitha, RamasamyScarpa, FabioScheinost, DustinScherf, NicoSchirmer, MarkusSchlaefer, AlexanderSchmid, JeromeSchnabel, JuliaSchultz, ThomasSchwartz, ErnstSdika, MichaelSedai, SumanSekou, TaibouSekuboyina, AnjanySelvan, RaghavendraSemedo, CarlaSenouf, OrtalSeoud, LamaSermesant, MaximeSerrano, CarmenSethi, AmitShaban, MuhammadShaffie, AhmedShah, MeetShalaby, AhmedShamir, ReubenShan, HongmingShao, YeqinSharma, HarshitaShehata, MohamedShen, Haocheng

Organization xix

Shen, LiShen, MaliShen, YiruSheng, KeShi, BiboShi, JunShi, KuangyuShi, XiaoshuangShi, YonggangShi, YonghongShigwan, SaurabhShin, Hoo-ChangShin, JitaeShontz, SuzanneSignoroni, AlbertoSiless, VivianaSilva, CarlosSilva, WilsonSimonovsky, MartinSimson, WalterSinclair, MatthewSingh, VivekSoans, RajathSohel, FerdousSokooti, HessamSoliman, AhmedSommen, FonsSommer, StefanSong, MingSong, YangSotiras, AristeidisSparks, RachelSpiclin, ZigaSt-Jean, SamuelSteinbach, PeterStern, DarkoStimpel, BernhardStrait, JustinStudholme, ColinStyner, MartinSu, HaiSu, Yun-HsuanSubramanian, VaishnaviSubsol, GérardSudre, CaroleSuk, Heung-Il

Sun, JianSun, LiSun, TaoSung, KyunghyunSuter, YannickTajbakhsh, NimaTan, ChaoweiTan, JiaxingTan, WenjunTang, MinTang, ShengTang, ThomasTang, XiaoyingTang, YoubaoTang, YuxingTang, ZhenyuTanner, ChristineTanno, RyutaroTao, QianTarroni, GiacomoTasdizen, TolgaThung, KimTian, JiangTian, YunToews, MatthewTong, YubingTopsakal, OguzhanTorosdagli, NeslisahToussaint, NicolasTroccaz, JocelyneTrzcinski, TomaszTulder, GijsTustison, NickTuysuzoglu, AhmetUkwatta, ErangaUnberath, MathiasUngi, TamasUpadhyay, UddeshyaUrschler, MartinUslu, FatmatulzehraUyanik, IlyasVaillant, RégisVakalopoulou, MariaValindria, VanyaVarela, MartaVarsavsky, Thomas

xx Organization

Vedula, S.Vedula, SankethVeeraraghavan, HariniVega, RobertoVeni, GopalkrishnaVerma, UjjwalVetter, ThomasVialard, Francois-XavierVillard, Pierre-FredericVillarini, BarbaraVirga, SalvatoreVishnevskiy, ValeryViswanath, SatishVlontzos, AthanasiosVogl, Wolf-DieterVoigt, IngmarVos, BobVrtovec, TomazWang, BoWang, ChangmiaoWang, ChengjiaWang, ChunliangWang, DadongWang, GuotaiWang, HaifengWang, HaoqianWang, HongkaiWang, HongzhiWang, HuaWang, HuanWang, JiazhuoWang, JingwenWang, JunWang, JunyanWang, KuanquanWang, KunWang, LeiWang, LiWang, LianshengWang, ManningWang, MingliangWang, NizhuanWang, PeiWang, PuyangWang, RuixuanWang, Shanshan

Wang, ShengWang, ShuaiWang, WenzheWang, XiangxueWang, XiaosongWang, XuchuWang, YalinWang, YanWang, YapingWang, YuanjunWang, ZeWang, ZheWang, ZhinuoWang, ZhiweiWang, ZileiWeber, JonathanWee, Chong-YawWeese, JürgenWei, BenzhengWei, DongWei, DonglaiWei, DongmingWeigert, MartinWein, WolfgangWels, MichaelWemmert, CédricWerner, ReneWesierski, DanielWilliams, BryanWilliams, JacquelineWilliams, TravisWilliamson, TomWilms, MatthiasWiskin, JamesWittek, AdamWollmann, ThomasWolterink, JelmerWong, KenWoo, JonghyeWu, GuoqingWu, JiWu, JianWu, JiongWu, PengxiangWu, XiWu, Ye

Organization xxi

Wu, YichengWuerfl, TobiasXi, XiaomingXia, JingXia, WenfengXiao, DeqiangXiao, YimingXie, HaiXie, HongtaoXie, JianyangXie, LongXie, WeidiXie, YitingXie, YuanpuXie, YutongXing, FuyongXiong, TaoXu, ChenchuXu, JiaofengXu, JunXu, KeleXu, RuiXu, TingXu, YanXu, YongchaoXu, ZhengXu, ZhenlinXu, ZhoubingXu, ZiyueXue, JieXue, WufengXue, YuanYahya, FaridahYan, ChenggangYan, KeYan, WeizhengYan, YuYan, YuguangYan, ZhennanYang, GuangYang, GuanyuYang, Hao-YuYang, JieYang, LinYang, ShanYang, Xiao

Yang, XiaohuiYang, XinYao, DongrenYao, JianhuaYao, JiawenYe, ChuyangYe, JongYe, MenglongYe, XujiongYi, JingruYi, XinYing, ShihuiYoo, YoungjinYousefi, BardiaYousefi, SaharYu, JinhuaYu, KaiYu, LequanYu, RenpingYu, WeichuanYushkevich, PaulZanjani, FarhadZenati, MarcoZeng, DongZeng, GuodongZettinig, OliverZhan, LiangZhang, BaochangZhang, ChunchengZhang, DongqingZhang, FanZhang, HaichongZhang, HanZhang, HaopengZhang, HeyeZhang, JianpengZhang, JiongZhang, JunZhang, LeZhang, LichiZhang, MingliZhang, PengyueZhang, PinZhang, QiangZhang, RongzhaoZhang, Shengping

xxii Organization

Zhang, ShuZhang, SongzeZhang, TianyangZhang, TongZhang, WeiZhang, WenZhang, WenluZhang, XiangZhang, XinZhang, YiZhang, YifanZhang, YizheZhang, YongZhang, YongqinZhang, YouZhang, YuZhang, YueZhang, YueyiZhang, YungengZhang, YunyanZhang, YuyaoZhang, ZizhaoZhao, HaifengZhao, JunZhao, QingyuZhao, RongchangZhao, ShijieZhao, ShiwanZhao, TengdaZhao, WeiZhao, YitianZhao, Yiyuan

Zhao, YuZhao, ZijianZheng, ShenhaiZheng, YalinZheng, YinqiangZhong, ZichunZhou, BoZhou, JianlongZhou, LupingZhou, NiyunZhou, S.Zhou, ShoujunZhou, TaoZhou, WenjinZhou, YuyinZhou, ZhiguoZhu, HancanZhu, JunjieZhu, QikuiZhu, WeifangZhu, WentaoZhu, XiaofengZhu, XinliangZhu, YingyingZhu, YueminZhu, ZhuotunZhuang, XiahaiZia, AneeqZimmer, VeronikaZolgharni, MassoudZou, JuZuluaga, Maria

Organization xxiii

Accepted MICCAI 2019 Papers

North America 36%

Europe26%

Central/South America, 0.40%

Australasia1%

Asia37%

Africa, 0%

By Region of First Author

Big Data1%

Anatomy & Physiology4%

CAD12%

Reconstruction7%

Interventions3%

Segmentation, Registration & Fusion

25%

Biomarkers1%

Machine Learning & AI28%

Microscopy & Histology5%

Neuro Imaging5%

Surgical Planning & Visualization3%

Others 6%

By Technical Keyword

Awards Presented at MICCAI 2018, Granada, Spain

MICCAI Society Enduring Impact Award: The Enduring Impact Award is the highestaward of the MICCAI Society. It is a career award for continued excellence in theMICCAI research field. The 2018 Enduring Impact Award was presented to SandyWells, Brigham and Women’s Hospital/Harvard Medical School, USA.

MICCAI Society Fellowships: MICCAI Fellowships are bestowed annually on asmall number of senior members of the society in recognition of substantial scientificcontributions to the MICCAI research field and service to the MICCAI community. In2018, 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 hispaper entitled “Dual-modality Endoscopic Probe for Tissue Surface ShapeReconstruction 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 SemanticNeedle Detection in 3D Ultrasound Using Orthogonal-Plane Convolutional NeuralNetworks,” authored by Arash Pourtaherian, Farhad Ghazvinian Zanjani, SvitlanaZinger, Nenad Mihajlovic, Gary C. Ng, Hendrikus H. M. Korsten, and Peter H. N. deWith.

Young Scientist Publication Impact Award: MICCAI papers by a young scientistfrom the past 5 years were eligible for this award. It is made to a researcher whose workhad an impact on the MICCAI field in terms of citations, secondary citations,subsequent publications, h-index. The 2018 Young Scientist Publication Impact Awardwas given to Holger R Roth: “A New 2.5D Representation for Lymph Node DetectionUsing Random Sets of Deep Convolutional Neural Network Observations” authored byHolger 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 stimulationprizes awarded for the best first authors of MICCAI contributions in distinct subjectareas. The nominees had to be full-time students at a recognized university at, orwithin, two years prior to submission. The 2018 MICCAI Young Scientist Awardswere given to:

– Erik J. Bekkers for the paper entitled: “Roto-Translation Covariant ConvolutionalNetworks for Medical Image Analysis”

– Bastian Bier for the paper entitled: “X-ray-transform Invariant AnatomicalLandmark Detection for Pelvic Trauma Surgery”

– Yuanhan Mo for his paper entitled: “The Deep Poincaré Map: A Novel Approachfor Left Ventricle Segmentation”

– Tanya Nair for the paper entitled: “Exploring Uncertainty Measures in DeepNetworks for Multiple Sclerosis Lesion Detection and Segmentation”

– Yue Zhang for the paper entitled: “Task-Driven Generative Modeling forUnsupervised Domain Adaptation: Application to X-ray Image Segmentation”

xxviii Awards Presented at MICCAI 2018, Granada, Spain

Contents – Part III

Neuroimage Reconstruction and Synthesis

Isotropic MRI Super-Resolution Reconstruction with Multi-scaleGradient Field Prior. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

Yao Sui, Onur Afacan, Ali Gholipour, and Simon K. Warfield

A Two-Stage Multi-loss Super-Resolution Network for ArterialSpin Labeling Magnetic Resonance Imaging. . . . . . . . . . . . . . . . . . . . . . . . 12

Zheng Li, Qingping Liu, Yiran Li, Qiu Ge, Yuanqi Shang, Donghui Song,Ze Wang, and Jun Shi

Model Learning: Primal Dual Networks for Fast MR Imaging . . . . . . . . . . . 21Jing Cheng, Haifeng Wang, Leslie Ying, and Dong Liang

Model-Based Convolutional De-Aliasing Network Learningfor Parallel MR Imaging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30

Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, and Shanshan Wang

Joint Reconstruction of PET + Parallel-MRI in a BayesianCoupled-Dictionary MRF Framework . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39

Viswanath P. Sudarshan, Kratika Gupta, Gary Egan, Zhaolin Chen,and Suyash P. Awate

Deep Learning Based Framework for Direct Reconstructionof PET Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48

Zhiyuan Liu, Huai Chen, and Huafeng Liu

Nonuniform Variational Network: Deep Learning for AcceleratedNonuniform MR Image Reconstruction . . . . . . . . . . . . . . . . . . . . . . . . . . . 57

Jo Schlemper, Seyed Sadegh Mohseni Salehi, Prantik Kundu,Carole Lazarus, Hadrien Dyvorne, Daniel Rueckert, and Michal Sofka

Reconstruction of Isotropic High-Resolution MR Imagefrom Multiple Anisotropic Scans Using Sparse Fidelity Lossand Adversarial Regularization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65

Kai Xuan, Dongming Wei, Dijia Wu, Zhong Xue, Yiqiang Zhan,Weiwu Yao, and Qian Wang

Single Image Based Reconstruction of High Field-Like MR Images . . . . . . . 74Prabhjot Kaur and Anil Kumar Sao

Deep Gated Convolutional Neural Network for QSM BackgroundField Removal . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83

Juan Liu and Kevin M. Koch

RinQ Fingerprinting: Recurrence-Informed Quantile Networksfor Magnetic Resonance Fingerprinting . . . . . . . . . . . . . . . . . . . . . . . . . . . 92

Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer,Christopher Syben, Franziska Schirrmacher, Mathias Nittka,Josef Pfeuffer, Heiko Meyer, and Andreas Maier

RCA-U-Net: Residual Channel Attention U-Net for Fast TissueQuantification in Magnetic Resonance Fingerprinting . . . . . . . . . . . . . . . . . 101

Zhenghan Fang, Yong Chen, Dong Nie, Weili Lin, and Dinggang Shen

GANReDL: Medical Image Enhancement Using a GenerativeAdversarial Network with Real-Order Derivative Induced Loss Functions . . . . 110

Pan Liu, Chao Li, and Carola-Bibiane Schönlieb

Generation of 3D Brain MRI Using Auto-Encoding GenerativeAdversarial Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118

Gihyun Kwon, Chihye Han, and Dae-shik Kim

Semi-supervised VAE-GAN for Out-of-Sample Detection Appliedto MRI Quality Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127

Mahmoud Mostapha, Juan Prieto, Veronica Murphy, Jessica Girault,Mark Foster, Ashley Rumple, Joseph Blocher, Weili Lin, Jed Elison,John Gilmore, Steve Pizer, and Martin Styner

Disease-Image Specific Generative Adversarial Network for BrainDisease Diagnosis with Incomplete Multi-modal Neuroimages . . . . . . . . . . . 137

Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia,and Dinggang Shen

Predicting the Evolution of White Matter Hyperintensities in BrainMRI Using Generative Adversarial Networks and Irregularity Map . . . . . . . . 146

Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández,Stephen Makin, Joanna M. Wardlaw, and Taku Komura

CoCa-GAN: Common-Feature-Learning-Based Context-AwareGenerative Adversarial Network for Glioma Grading . . . . . . . . . . . . . . . . . . 155

Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Guoshi Li,Qian Wang, Han Zhang, and Dinggang Shen

Degenerative Adversarial NeuroImage Nets: Generating Imagesthat Mimic Disease Progression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164

Daniele Ravi, Daniel C. Alexander, Neil P. Oxtoby,and for the Alzheimer’s Disease Neuroimaging Initiative

xxx Contents – Part III

Neuroimage Segmentation

Scribble-Based Hierarchical Weakly Supervised Learning for BrainTumor Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175

Zhanghexuan Ji, Yan Shen, Chunwei Ma, and Mingchen Gao

3D Dilated Multi-fiber Network for Real-Time Brain TumorSegmentation in MRI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184

Chen Chen, Xiaopeng Liu, Meng Ding, Junfeng Zheng, and Jiangyun Li

Refined Segmentation R-CNN: A Two-Stage Convolutional NeuralNetwork for Punctate White Matter Lesion Segmentationin Preterm Infants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193

Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Xianjun Li,Zhicheng Jiao, Jian Yang, and Xingbo Gao

VoteNet: A Deep Learning Label Fusion Methodfor Multi-atlas Segmentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202

Zhipeng Ding, Xu Han, and Marc Niethammer

Weakly Supervised Brain Lesion Segmentation via AttentionalRepresentation Learning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211

Kai Wu, Bowen Du, Man Luo, Hongkai Wen, Yiran Shen,and Jianfeng Feng

Scalable Neural Architecture Search for 3D Medical Image Segmentation . . . . 220Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek,Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, and Taesup Kim

Unified Attentional Generative Adversarial Network for Brain TumorSegmentation from Multimodal Unpaired Images . . . . . . . . . . . . . . . . . . . . 229

Wenguang Yuan, Jia Wei, Jiabing Wang, Qianli Ma, and Tolga Tasdizen

High Resolution Medical Image Segmentation UsingData-Swapping Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238

Haruki Imai, Samuel Matzek, Tung D. Le, Yasushi Negishi,and Kiyokuni Kawachiya

X-Net: Brain Stroke Lesion Segmentation Based on DepthwiseSeparable Convolution and Long-Range Dependencies . . . . . . . . . . . . . . . . 247

Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu,and Shanshan Wang

Multi-view Semi-supervised 3D Whole Brain Segmentationwith a Self-ensemble Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256

Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, and Cheng-Lin Liu

Contents – Part III xxxi

CLCI-Net: Cross-Level Fusion and Context Inference Networksfor Lesion Segmentation of Chronic Stroke . . . . . . . . . . . . . . . . . . . . . . . . 266

Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu,Meiyun Wang, Hairong Zheng, and Shanshan Wang

Brain Segmentation from k-Space with End-to-End RecurrentAttention Network. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275

Qiaoying Huang, Xiao Chen, Dimitris Metaxas,and Mariappan S. Nadar

Spatial Warping Network for 3D Segmentation of the Hippocampusin MR Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284

Nicola K. Dinsdale, Mark Jenkinson, and Ana I. L. Namburete

CompareNet: Anatomical Segmentation Network with DeepNon-local Label Fusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292

Yuan Liang, Weinan Song, J. P. Dym, Kun Wang, and Lei He

A Joint 3D+2D Fully Convolutional Frameworkfor Subcortical Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301

Jiong Wu, Yue Zhang, and Xiaoying Tang

U-ReSNet: Ultimate Coupling of Registration and Segmentationwith Deep Nets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310

Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis,Enzo Battistela, Marvin Lerousseau, Alexandre Carre,Guillaume Klausner, Roger Sun, Charlotte Robert,Stavroula Mougiakakou, Nikos Paragios, and Eric Deutsch

Generative Adversarial Network for Segmentation of MotionAffected Neonatal Brain MRI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320

N. Khalili, E. Turk, M. Zreik, M. A. Viergever, M. J. N. L. Benders,and I. Išgum

Interactive Deep Editing Framework for Medical Image Segmentation . . . . . . 329Bowei Zhou, Li Chen, and Zhao Wang

Multiple Sclerosis Lesion Segmentation with Tiramisuand 2.5D Stacked Slices. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338

Huahong Zhang, Alessandra M. Valcarcel, Rohit Bakshi, Renxin Chu,Francesca Bagnato, Russell T. Shinohara, Kilian Hett, and Ipek Oguz

Improving Multi-atlas Segmentation by Convolutional NeuralNetwork Based Patch Error Estimation . . . . . . . . . . . . . . . . . . . . . . . . . . . 347

Long Xie, Jiancong Wang, Mengjin Dong, David A. Wolk,and Paul A. Yushkevich

xxxii Contents – Part III

Unsupervised Deep Learning for Bayesian Brain MRI Segmentation . . . . . . . 356Adrian V. Dalca, Evan Yu, Polina Golland, Bruce Fischl,Mert R. Sabuncu, and Juan Eugenio Iglesias

Online Atlasing Using an Iterative Centroid . . . . . . . . . . . . . . . . . . . . . . . . 366Antoine Legouhy, Olivier Commowick, François Rousseau,and Christian Barillot

ARS-Net: Adaptively Rectified Supervision Network for Automated3D Ultrasound Image Segmentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 375

Chaoyue Liu, Guohao Dong, Muqing Lin, Yaoxian Zou, Tianzhu Liang,Xujin He, Zhijie Chen, Dong Ni, Yi Xiong, and Lei Zhu

Complete Fetal Head Compounding from Multi-view 3D Ultrasound. . . . . . . 384Robert Wright, Nicolas Toussaint, Alberto Gomez, Veronika Zimmer,Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz,Daniel Rueckert, Joseph V. Hajnal, and Julia A. Schnabel

SegNAS3D: Network Architecture Search with Derivative-Free GlobalOptimization for 3D Image Segmentation. . . . . . . . . . . . . . . . . . . . . . . . . . 393

Ken C. L. Wong and Mehdi Moradi

Overfitting of Neural Nets Under Class Imbalance: Analysisand Improvements for Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 402

Zeju Li, Konstantinos Kamnitsas, and Ben Glocker

RSANet: Recurrent Slice-Wise Attention Network for MultipleSclerosis Lesion Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411

Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang,Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen,Mert Sabuncu, and Yi Wang

Deep Cascaded Attention Network for Multi-task BrainTumor Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 420

Hai Xu, Hongtao Xie, Yizhi Liu, Chuandong Cheng, Chaoshi Niu,and Yongdong Zhang

A Partially Reversible U-Net for Memory-Efficient VolumetricImage Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429

Robin Brügger, Christian F. Baumgartner, and Ender Konukoglu

3DQ: Compact Quantized Neural Networks for Volumetric WholeBrain Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 438

Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy,Michael Y.-S. Fang, and Nassir Navab

Contents – Part III xxxiii

Robust Multimodal Brain Tumor Segmentation via FeatureDisentanglement and Gated Fusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447

Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin,and Pheng-Ann Heng

Multi-task Attention-Based Semi-supervised Learning for MedicalImage Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 457

Shuai Chen, Gerda Bortsova, Antonio García-Uceda Juárez,Gijs van Tulder, and Marleen de Bruijne

AssemblyNet: A Novel Deep Decision-Making Process for WholeBrain MRI Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 466

Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud,Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit,and José V. Manjon

Automated Parcellation of the Cortex Using StructuralConnectome Harmonics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 475

Hoyt Patrick Taylor IV, Zhengwang Wu, Ye Wu, Dinggang Shen,Han Zhang, and Pew-Thian Yap

Hierarchical Parcellation of the Cerebellum . . . . . . . . . . . . . . . . . . . . . . . . 484Shuo Han, Aaron Carass, and Jerry L. Prince

Intrinsic Patch-Based Cortical Anatomical Parcellation Using GraphConvolutional Neural Network on Surface Manifold . . . . . . . . . . . . . . . . . . 492

Zhengwang Wu, Fenqiang Zhao, Jing Xia, Li Wang, Weili Lin,John H. Gilmore, Gang Li, and Dinggang Shen

Cortical Surface Parcellation Using Spherical ConvolutionalNeural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501

Prasanna Parvathaneni, Shunxing Bao, Vishwesh Nath,Neil D. Woodward, Daniel O. Claassen, Carissa J. Cascio,David H. Zald, Yuankai Huo, Bennett A. Landman, and Ilwoo Lyu

A Soft STAPLE Algorithm Combined with Anatomical Knowledge . . . . . . . 510Eytan Kats, Jacob Goldberger, and Hayit Greenspan

Diffusion-Weighted Magnetic Resonance Imaging

Multi-stage Image Quality Assessment of Diffusion MRIvia Semi-supervised Nonlocal Residual Networks . . . . . . . . . . . . . . . . . . . . 521

Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap,Dinggang Shen, and the UNC/UMN Baby Connectome ProjectConsortium

Reconstructing High-Quality Diffusion MRI Data from OrthogonalSlice-Undersampled Data Using Graph Convolutional Neural Networks . . . . . 529

Yoonmi Hong, Geng Chen, Pew-Thian Yap, and Dinggang Shen

xxxiv Contents – Part III

Surface-Based Tracking of U-Fibers in the Superficial White Matter . . . . . . . 538Jin Kyu Gahm and Yonggang Shi

Probing Brain Micro-architecture by Orientation Distribution InvariantIdentification of Diffusion Compartments . . . . . . . . . . . . . . . . . . . . . . . . . . 547

Khoi Minh Huynh, Tiantian Xu, Ye Wu, Geng Chen, Kim-Han Thung,Haiyong Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap,and the UNC/UMN Baby Connectome Project Consortium

Characterizing Non-Gaussian Diffusion in Heterogeneously OrientedTissue Microenvironments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 556

Khoi Minh Huynh, Tiantian Xu, Ye Wu, Kim-Han Thung, Geng Chen,Weili Lin, Dinggang Shen, and Pew-Thian Yap

Topographic Filtering of Tractograms as Vector Field Flows . . . . . . . . . . . . 564Xinyu Nie and Yonggang Shi

Enabling Multi-shell b-Value Generalizability of Data-Driven DiffusionModels with Deep SHORE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 573

Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling, Prasanna Parvathaneni,Colin B. Hansen, Yuankai Huo, Vaibhav A. Janve, Yurui Gao,Iwona Stepniewska, Adam W. Anderson, and Bennett A. Landman

Super-Resolved q-Space Deep Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . 582Chuyang Ye, Yu Qin, Chenghao Liu, Yuxing Li, Xiangzhu Zeng,and Zhiwen Liu

Joint Identification of Network Hub Nodes by MultivariateGraph Inference . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 590

Defu Yang, Chenggang Yan, Feiping Nie, Xiaofeng Zhu,Md Asadullah Turja, Leo Charles Peek Zsembik, Martin Styner,and Guorong Wu

Deep White Matter Analysis: Fast, Consistent TractographySegmentation Across Populations and dMRI Acquisitions . . . . . . . . . . . . . . 599

Fan Zhang, Nico Hoffmann, Suheyla Cetin Karayumak, Yogesh Rathi,Alexandra J. Golby, and Lauren J. O’Donnell

Improved Placental Parameter Estimation Using Data-DrivenBayesian Modelling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 609

Dimitra Flouri, David Owen, Rosalind Aughwane, Nada Mufti,Magdalena Sokolska, David Atkinson, Giles Kendall, Alan Bainbridge,Tom Vercauteren, Anna L. David, Sebastien Ourselin,and Andrew Melbourne

Optimal Experimental Design for Biophysical Modellingin Multidimensional Diffusion MRI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 617

Santiago Coelho, Jose M. Pozo, Sune N. Jespersen,and Alejandro F. Frangi

Contents – Part III xxxv

DeepTract: A Probabilistic Deep Learning Frameworkfor White Matter Fiber Tractography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 626

Itay Benou and Tammy Riklin Raviv

Fast and Scalable Optimal Transport for Brain Tractograms . . . . . . . . . . . . . 636Jean Feydy, Pierre Roussillon, Alain Trouvé, and Pietro Gori

A Hybrid Deep Learning Framework for Integrated Segmentationand Registration: Evaluation on Longitudinal White MatterTract Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 645

Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, M. Arfan Ikram,Meike W. Vernooij, and Esther E. Bron

Constructing Consistent Longitudinal Brain Networksby Group-Wise Graph Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 654

Md Asadullah Turja, Leo Charles Peek Zsembik, Guorong Wu,and Martin Styner

Functional Neuroimaging (fMRI)

Multi-layer Temporal Network Analysis Reveals Increasing TemporalReachability and Spreadability in the First Two Years of Life . . . . . . . . . . . 665

Zhen Zhou, Han Zhang, Li-Ming Hsu, Weili Lin, Gang Pan,Dinggang Shen, and for UNC/UMN Baby Connectome ProjectConsortium

A Matched Filter Decomposition of fMRI into Restingand Task Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 673

Anand A. Joshi, Haleh Akrami, Jian Li, and Richard M. Leahy

Identification of Abnormal Circuit Dynamics in Major Depressive Disordervia Multiscale Neural Modeling of Resting-State fMRI . . . . . . . . . . . . . . . . 682

Guoshi Li, Yujie Liu, Yanting Zheng, Ye Wu, Pew-Thian Yap, Shijun Qiu,Han Zhang, and Dinggang Shen

Integrating Functional and Structural Connectivitiesvia Diffusion-Convolution-Bilinear Neural Network. . . . . . . . . . . . . . . . . . . 691

Jiashuang Huang, Luping Zhou, Lei Wang, and Daoqiang Zhang

Invertible Network for Classification and Biomarker Selection for ASD. . . . . 700Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola,and James S. Duncan

Integrating Neural Networks and Dictionary Learning for MultidimensionalClinical Characterizations from Functional Connectomics Data . . . . . . . . . . . 709

Niharika Shimona D’Souza, Mary Beth Nebel, Nicholas Wymbs,Stewart Mostofsky, and Archana Venkataraman

xxxvi Contents – Part III

Revealing Functional Connectivity by Learning Graph Laplacian . . . . . . . . . 718Minjeong Kim, Amr Moussa, Peipeng Liang, Daniel Kaufer,Paul J. Larienti, and Guorong Wu

Constructing Multi-scale Connectome Atlas by Learning GraphLaplacian of Common Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 727

Minjeong Kim, Xiaofeng Zhu, Ziwen Peng, Peipeng Liang,Daniel Kaufer, Paul J. Larienti, and Guorong Wu

Autism Classification Using Topological Featuresand Deep Learning: A Cautionary Tale . . . . . . . . . . . . . . . . . . . . . . . . . . . 736

Archit Rathore, Sourabh Palande, Jeffrey S. Anderson,Brandon A. Zielinski, P. Thomas Fletcher, and Bei Wang

Identify Hierarchical Structures from Task-Based fMRI Datavia Hybrid Spatiotemporal Neural Architecture Search Net . . . . . . . . . . . . . . 745

Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang,Tuo Zhang, and Tianming Liu

A Deep Learning Framework for Noise Component Detectionfrom Resting-State Functional MRI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 754

Tae-Eui Kam, Xuyun Wen, Bing Jin, Zhicheng Jiao, Li-Ming Hsu,Zhen Zhou, Yujie Liu, Koji Yamashita, Sheng-Che Hung, Weili Lin,Han Zhang, Dinggang Shen, and for UNC/UMNBaby Connectome Project Consortium

A Novel Graph Wavelet Model for Brain Multi-scaleActivational-Connectional Feature Fusion. . . . . . . . . . . . . . . . . . . . . . . . . . 763

Wenyan Xu, Qing Li, Zhiyuan Zhu, and Xia Wu

Combining Multiple Behavioral Measures and Multiple Connectomesvia Multipath Canonical Correlation Analysis . . . . . . . . . . . . . . . . . . . . . . . 772

Siyuan Gao, Xilin Shen, R. Todd Constable, and Dustin Scheinost

Decoding Brain Functional Connectivity Implicated in AD and MCI . . . . . . . 781Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse,and the Alzheimer’s Disease Neuroimaging Initiative

Interpretable Feature Learning Using Multi-output Takagi-Sugeno-KangFuzzy System for Multi-center ASD Diagnosis . . . . . . . . . . . . . . . . . . . . . . 790

Jun Wang, Ying Zhang, Tao Zhou, Zhaohong Deng, Huifang Huang,Shitong Wang, Jun Shi, and Dinggang Shen

Interpretable Multimodality Embedding of Cerebral Cortex Using AttentionGraph Network for Identifying Bipolar Disorder . . . . . . . . . . . . . . . . . . . . . 799

Huzheng Yang, Xiaoxiao Li, Yifan Wu, Siyi Li, Su Lu, James S. Duncan,James C. Gee, and Shi Gu

Contents – Part III xxxvii

Miscellaneous Neuroimaging

Doubly Weak Supervision of Deep Learning Models for Head CT . . . . . . . . 811Khaled Saab, Jared Dunnmon, Roger Goldman, Alex Ratner,Hersh Sagreiya, Christopher Ré, and Daniel Rubin

Radiologist-Level Stroke Classification on Non-contrast CT Scanswith Deep U-Net. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 820

Avetisian Manvel, Kokh Vladimir, Tuzhilin Alexander,and Umerenkov Dmitry

FocusNet: Imbalanced Large and Small Organ Segmentation withan End-to-End Deep Neural Network for Head and Neck CT Images . . . . . . 829

Yunhe Gao, Rui Huang, Ming Chen, Zhe Wang, Jincheng Deng,Yuanyuan Chen, Yiwei Yang, Jie Zhang, Chanjuan Tao,and Hongsheng Li

Regression-Based Line Detection Network for Delineationof Largely Deformed Brain Midline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 839

Hao Wei, Xiangyu Tang, Minqing Zhang, Qingfeng Li, Xiaodan Xing,Xiang Sean Zhou, Zhong Xue, Wenzhen Zhu, Zailiang Chen,and Feng Shi

Siamese U-Net with Healthy Template for Accurate Segmentationof Intracranial Hemorrhage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 848

Doyoung Kwon, Jaesin Ahn, Jaeil Kim, Inchul Choi, Sungmoon Jeong,Young-Sup Lee, Jaechan Park, and Minho Lee

Automated Infarct Segmentation from Follow-up Non-ContrastCT Scans in Patients with Acute Ischemic Stroke Using DenseMulti-Path Contextual Generative Adversarial Network . . . . . . . . . . . . . . . . 856

Hulin Kuang, Bijoy K. Menon, and Wu Qiu

Recurrent Sub-volume Analysis of Head CT Scans for the Detectionof Intracranial Hemorrhage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 864

M. S. Vidya, Yogish Mallya, Arun Shastry, and J. Vijayananda

Cephalometric Landmark Detection by Attentive Feature PyramidFusion and Regression-Voting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 873

Runnan Chen, Yuexin Ma, Nenglun Chen, Daniel Lee,and Wenping Wang

Correction to: Medical Image Computing and Computer AssistedIntervention – MICCAI 2019 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C1

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

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 883

xxxviii Contents – Part III