Lecture Notes in Computer Science 11073

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

Editorial Board

David HutchisonLancaster University, Lancaster, UK

Takeo KanadeCarnegie Mellon University, Pittsburgh, PA, USA

Josef KittlerUniversity of Surrey, Guildford, UK

Jon M. KleinbergCornell University, Ithaca, NY, USA

Friedemann MatternETH Zurich, Zurich, Switzerland

John C. MitchellStanford University, Stanford, CA, USA

Moni NaorWeizmann Institute of Science, Rehovot, Israel

C. Pandu RanganIndian Institute of Technology Madras, Chennai, India

Bernhard SteffenTU Dortmund University, Dortmund, Germany

Demetri TerzopoulosUniversity of California, Los Angeles, CA, USA

Doug TygarUniversity of California, Berkeley, CA, USA

Gerhard WeikumMax Planck Institute for Informatics, Saarbrücken, Germany

More information about this series at http://www.springer.com/series/7412

Alejandro F. Frangi • Julia A. SchnabelChristos Davatzikos • Carlos Alberola-LópezGabor Fichtinger (Eds.)

Medical Image Computingand Computer AssistedIntervention – MICCAI 2018

21st International ConferenceGranada, Spain, September 16–20, 2018Proceedings, Part IV

123

EditorsAlejandro F. FrangiUniversity of LeedsLeedsUK

Julia A. SchnabelKing’s College LondonLondonUK

Christos DavatzikosUniversity of PennsylvaniaPhiladelphia, PAUSA

Carlos Alberola-LópezUniversidad de ValladolidValladolidSpain

Gabor FichtingerQueen’s UniversityKingston, ONCanada

ISSN 0302-9743 ISSN 1611-3349 (electronic)Lecture Notes in Computer ScienceISBN 978-3-030-00936-6 ISBN 978-3-030-00937-3 (eBook)https://doi.org/10.1007/978-3-030-00937-3

Library of Congress Control Number: 2018909526

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

© Springer Nature Switzerland AG 2018This 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, express 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 very pleased to present the conference proceedings for the 21st InternationalConference on Medical Image Computing and Computer Assisted Intervention(MICCAI), which was successfully held at the Granada Conference Center, September16–20, 2018 in Granada, Spain.

The conference also featured 40 workshops, 14 tutorials, and ten challenges held onSeptember 16 or 20. For the first time, we had events co-located or endorsed by othersocieties. The two-day Visual Computing in Biology and Medicine (VCBM) Work-shop partnered with EUROGRAPHICS1, the one-day Biomedical WorkshopBiomedical Information Processing and Analysis: A Latin American perspectivepartnered with SIPAIM2, and the one-day MICCAI Workshop on ComputationalDiffusion on MRI was endorsed by ISMRM3. This year, at the time of writing thispreface, the MICCAI 2018 conference had over 1,400 firm registrations for the mainconference 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, fourvolumes of Lecture Notes in Computer Science (LNCS) proceedings for the mainconference, selected after a thorough double-blind peer-review process organized inseveral phases as further described below. Following the example set by the previousprogram chairs of MICCAI 2017, we employed the Conference Managing Toolkit(CMT)4 for paper submissions and double-blind peer-reviews, the Toronto PaperMatching System (TPMS)5 for automatic paper assignment to area chairs andreviewers, and Researcher.CC6 to handle conflicts between authors, area chairs, andreviewers.

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.

In total, a record 1,068 full submissions (ca. 33% more than the previous year) werereceived and sent out to peer-review, from 1,335 original intentions to submit. Of thosesubmissions, 80% were considered as pure Medical Image Computing (MIC), 14% aspure Computer-Assisted Intervention (CAI), and 6% as MICCAI papers that fitted intoboth MIC and CAI areas. The MICCAI 2018 Program Committee (PC) had a total of58 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 20manuscripts using TPMS, for each of which they suggested 9–15 potential reviewers.Subsequently, 600 invited reviewers were asked to bid for the manuscripts they hadbeen suggested for. Final reviewer allocations via CMT took PC suggestions, reviewerbidding, and TPMS scores into account, allocating 5–6 papers per reviewer. Based onthe double-blind reviews, 173 papers (16%) were directly accepted and 314 papers(30%) were directly rejected – these decisions were confirmed by the handling areachair. The remaining 579 papers (54%) were invited for rebuttal. Two further areachairs were added using CMT and TPMS scores to each of these remaining manu-scripts, who then independently scored these to accept or reject, based on the reviews,rebuttal, and manuscript, resulting in clear paper decisions using majority voting: 199further manuscripts were accepted, and 380 rejected.

The overall manuscript acceptance rate was 34.9%. Two PC teleconferences wereheld on May 14, 2018, in two different time zones to confirm the final results andcollect 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 infour 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); andCardiac, Chest, and Abdominal Applications (59)

– Volume LNCS 11072 includes: fMRI and Diffusion Imaging (45); Neuroimagingand Brain Segmentation (37)

– Volume LNCS 11073 includes: Computer-Assisted Intervention (39) grouped intoimage-guided interventions and surgery; surgical planning, simulation and workflow analysis; and visualization and augmented reality; and Image SegmentationMethods (47) grouped into general segmentation methods; multi-organ segmenta-tion; abdominal, cardiac, chest, and other segmentation applications.

We would like to thank everyone who contributed greatly to the success of MICCAI2018 and the quality of its proceedings. These include the MICCAI Society, for supportand insightful comments; and our sponsors for financial support and their presence onsite. We are especially grateful to all members of the Program Committee for theirdiligent work in the reviewer assignments and final paper selection, as well as the 600

7 One paper was withdrawn.

VI Preface

reviewers for their support during the entire process. Finally, and most importantly, wethank all authors, co-authors, students, and supervisors, for submitting and presentingtheir high-quality work which made MICCAI 2018 a greatly enjoyable, informative,and successful event. We are especially indebted to those reviewers and PC memberswho 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. SchnabelChristos Davatzikos

Gabor FichtingerAlejandro F. Frangi

Carlos Alberola-LópezAlberto Gomez Herrero

Spyridon BakasAntonio R. Porras

Preface VII

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, USAGabor Fichtinger Queen’s University, Canada

Associates to Program Chairs

Spyridon Bakas University of Pennsylvania, USAAlberto 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, SpainMarius Linguraru Children’s National Medical Center,

Washington D.C., USAKensaku Mori Nagoya University, JapanCarl-Fredrik Westin Harvard Medical School, USA

Workshop and Challenge Chair

Danail Stoyanov University College London, UK

Workshop and Challenge Co-chairs

Hervé Delingette Inria, FranceLena Maier-Hein German Cancer Research Center, GermanyZeike A. Taylor University of Leeds, UK

Keynote Lecture Chair

Josien Pluim TU Eindhoven, The Netherlands

Keynote Lecture Co-chairs

Matthias Harders ETH Zurich, SwitzerlandSeptimiu Salcudean The University of British Columbia, Canada

Corporate Affairs Chair

Terry Peters Western University, Canada

Corporate Affairs Co-chairs

Hayit Greenspan Tel Aviv University, IsraelDespina Kontos University of Pennsylvania, USAGuy 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, UKAmber Simpson Memorial Sloan Kettering Cancer Center, USAAndrew King King’s College London, UKBennett Landman Vanderbilt University, USABernhard Kainz Imperial College London, UKBurak Acar Bogazici University, Turkey

X Organization

Carola Schoenlieb Cambridge University, UKCaroline Essert University of Strasbourg/ICUBE, FranceChristian Wachinger Ludwig Maximilian University of Munich, GermanyChristos Bergeles King’s College London, UKDaphne Yu Siemens Healthineers, USADuygu Tosun University of California at San Francisco, USAEmanuele Trucco University of Dundee, UKEnder Konukoglu ETH Zurich, SwitzerlandEnzo Ferrante CONICET/Universidad Nacional del Litoral, ArgentinaErik Meijering Erasmus University Medical Center, The NetherlandsGozde Unal Istanbul Technical University, TurkeyGuido Gerig New York University, USAGustavo Carneiro University of Adelaide, AustraliaHassan Rivaz Concordia University, CanadaHerve Lombaert ETS Montreal, CanadaHongliang Ren National University of Singapore, SingaporeIngerid Reinertsen SINTEF, NorwayIpek Oguz University of Pennsylvania/Vanderbilt University,

USAIvana Isgum University Medical Center Utrecht, The NetherlandsJuan Eugenio Iglesias University College London, UKKayhan Batmanghelich University of Pittsburgh/Carnegie Mellon University,

USALaura Igual Universitat de Barcelona, SpainLauren O’Donnell Harvard University, USALe Lu Ping An Technology US Research Labs, USALi Cheng A*STAR Singapore, SingaporeLilla Zöllei Massachusetts General Hospital, USALinwei Wang Rochester Institute of Technology, USAMarc Niethammer University of North Carolina at Chapel Hill, USAMarius Staring Leiden University Medical Center, The NetherlandsMarleen de Bruijne Erasmus MC Rotterdam/University of Copenhagen,

The Netherlands/DenmarkMarta Kersten Concordia University, CanadaMattias Heinrich University of Luebeck, GermanyMeritxell Bach Cuadra University of Lausanne, SwitzerlandMiaomiao Zhang Washington University in St. Louis, USAMoti Freiman Philips Healthcare, IsraelNasir Rajpoot University of Warwick, UKNassir Navab Technical University of Munich, GermanyPallavi Tiwari Case Western Reserve University, USAPingkun Yan Rensselaer Polytechnic Institute, USAPurang Abolmaesumi University of British Columbia, CanadaRagini Verma University of Pennsylvania, USARaphael Sznitman University of Bern, SwitzerlandSandrine Voros University of Grenoble, France

Organization XI

Sotirios Tsaftaris University of Edinburgh, UKStamatia Giannarou Imperial College London, UKStefanie Speidel National Center for Tumor Diseases (NCT) Dresden,

GermanyStefanie Demirci Technical University of Munich, GermanyTammy Riklin Raviv Ben-Gurion University, IsraelTanveer Syeda-Mahmood IBM Research, USAUlas Bagci University of Central Florida, USAVamsi Ithapu University of Wisconsin-Madison, USAYanwu Xu Baidu Inc., China

Scientific Review Committee

Amir AbdiEhsan AdeliIman AganjOla AhmadAmr AhmedShazia AkbarAlireza Akhondi-aslSaad Ullah AkramAmir AlansaryShadi AlbarqouniLuis AlvarezDeepak AnandElsa AngeliniRahman AttarChloé AudigierAngelica Aviles-RiveroRuqayya AwanSuyash AwateDogu Baran AydoganShekoofeh AziziKatja BühlerJunjie BaiWenjia BaiDaniel BalfourWalid BarhoumiSarah BarmanMichael BarrowDeepti BathulaChristian F. BaumgartnerPierre-Louis BazinDelaram BehnamiErik BekkersRami Ben-Ari

Martin BenningAïcha BenTaiebRuth BergmanAlessandro BevilacquaRyoma BiseIsabelle BlochSebastian BodenstedtHrvoje BogunovicGerda BortsovaSylvain BouixFelix BragmanChristopher BridgeTom BroschAurelien BustinIrène BuvatCesar Caballero-GaudesRyan CabeenNathan CahillJinzheng CaiWeidong CaiTian CaoValentina CarapellaM. Jorge CardosoDaniel CastroDaniel Coelho de CastroPhilippe C. CattinJuan CerrolazaSuheyla Cetin KarayumakMatthieu ChabanasJayasree ChakrabortyRudrasis ChakrabortyRajib ChakravortyVimal Chandran

XII Organization

Catie ChangPierre ChatelainAkshay ChaudhariAntong ChenChao ChenGeng ChenHao ChenJianxu ChenJingyun ChenMin ChenXin ChenYang ChenYuncong ChenJiezhi ChengJun ChengVeronika CheplyginaFarida CherietMinqi ChongDaan ChristiaensSerkan CimenFrancesco CiompiCedric ClouchouxJames CloughDana CobzasNoel CodellaToby CollinsOlivier CommowickSailesh ConjetiPierre-Henri ConzeTessa CookTimothy CootesPierrick CoupéAlessandro CrimiAdrian DalcaSune DarknerDhritiman DasJohan DebayleFarah DeebaSilvana DellepianeAdrien DepeursingeMaria DeprezChristian DesrosiersBlake DeweyJwala DhamalaQi DouKaren Drukker

Lei DuLixin DuanFlorian DubostNicolas DuchateauJames DuncanLuc DuongNicha DvornekOleh DzyubachykZach Eaton-RosenMehran EbrahimiMatthias J. EhrhardtAhmet EkinAyman El-BazRandy EllisMohammed ElmogyMarius ErdtGuray ErusMarco EspositoJoset EtzelJingfan FanYong FanAly FaragMohsen FarziAnahita Fathi KazerooniHamid FehriXinyang FengOlena FilatovaJames FishbaughTom FletcherGermain ForestierDenis FortunAlfred FranzMuhammad Moazam FrazWolfgang FreysingerJurgen FrippHuazhu FuYang FuBernhard FuerstGareth Funka-LeaIsabel FunkeJan FunkeFrancesca GalassiLinlin GaoMingchen GaoYue GaoZhifan Gao

Organization XIII

Utpal GarainMona GarvinAimilia GastouniotiRomane GauriauBao GeSandesh GhimireAli GholipourRémi GiraudBen GlockerEhsan GolkarPolina GollandYuanhao GongGerman GonzalezPietro GoriAlejandro GranadosSasa GrbicEnrico GrisanAndrey GritsenkoAbhijit Guha RoyYanrong GuoYong GuoVikash GuptaBenjamin Gutierrez BeckerSéverine HabertIlker HacihalilogluStathis HadjidemetriouGhassan HamarnehAdam HarrisonGrant HaskinsCharles HattTiancheng HeMehdi Hedjazi MoghariTobias HeimannChristoph HennerspergerAlfredo HernandezMonica HernandezMoises Hernandez FernandezCarlos Hernandez-MatasMatthew HoldenYi HongNicolas HonnoratBenjamin HouYipeng HuHeng HuangJunzhou HuangWeilin Huang

Xiaolei HuangYawen HuangHenkjan HuismanYuankai HuoSarfaraz HusseinJana HutterSeong Jae HwangAtsushi ImiyaAmir JamaludinFaraz JananUditha JarayathneXi JiangJieqing JiaoDakai JinYueming JinBano JordanAnand JoshiShantanu JoshiLeo JoskowiczChristoph JudSiva Teja KakiletiJayashree Kalpathy-CramerAli KamenNeerav KaraniAnees KaziEric KerfootErwan KerrienFarzad KhalvatiHassan KhanBishesh KhanalRon KikinisHyo-Eun KimHyunwoo KimJinman KimMinjeong KimBenjamin KimiaKivanc KoseJulia KrügerPavitra KrishnaswamyFrithjof KruggelElizabeth KrupinskiSofia Ira KtenaArjan KuijperAshnil KumarNeeraj KumarPunithakumar Kumaradevan

XIV Organization

Manuela KunzJin Tae KwakAlexander LadikosRodney LalondePablo LamataCatherine LaporteCarole LartizienToni LassilaAndras LassoMatthieu LeMaria J. Ledesma-CarbayoHansang LeeJong-Hwan LeeSoochahn LeeEtienne LégerBeatrice LentesWee Kheng LeowNikolas LessmannAnnan LiGang LiRuoyu LiWenqi LiXiang LiYuanwei LiChunfeng LianJianming LiangHongen LiaoRuizhi LiaoRoxane LicandroLanfen LinClaudia LindnerCristian LinteFeng LiuHui LiuJianfei LiuJundong LiuKefei LiuMingxia LiuSidong LiuMarco LorenziXiongbiao LuoJinglei LvIlwoo LyuOmar M. RijalPablo Márquez NeilaHenning Müller

Kai MaKhushhall Chandra MahajanDwarikanath MahapatraAndreas MaierKlaus H. Maier-HeinSokratis MakrogiannisGrégoire MalandainAnand MalpaniJose ManjonTommaso MansiAwais MansoorAnne MartelDiana MateusArnaldo MayerJamie McClellandStephen McKennaRonak MehtaRaphael MeierQier MengYu MengBjoern MenzeLiang MiShun MiaoAbhishek MidyaZhe MinRashika MishraMarc ModatNorliza Mohd NoorMehdi MoradiRodrigo MorenoKensaku MoriAliasghar MortaziPeter MountneyArrate Muñoz-BarrutiaAnirban MukhopadhyayArya NabaviLayan NahlawiAna Ineyda NambureteValery NaranjoPeter NeherHannes NickischDong NieLipeng NingJack NobleVincent NobletAlexey Novikov

Organization XV

Ilkay OksuzOzan OktayJohn OnofreyEliza OrasanuFelipe Orihuela-EspinaJose OrlandoYusuf OsmanliogluDavid OwenCristina Oyarzun LauraJose-Antonio Pérez-CarrascoDanielle PaceJ. Blas PagadorAkshay PaiXenophon PapademetrisBartlomiej PapiezToufiq ParagMagdalini PaschaliAngshuman PaulChristian PayerJialin PengTingying PengXavier PennecSérgio PereiraMehran PesteieLoic PeterIgor PeterlikSimon PezoldMicha PfeiferDzung PhamRenzo PhellanPramod PisharadyJosien PluimKilian PohlJean-Baptiste PolineAlison PouchPrateek PrasannaPhilip PrattRaphael PrevostEsther Puyol AntonYuchuan QiaoGwénolé QuellecPradeep Reddy RaamanaJulia RackersederHedyeh Rafii-TariMehdi RahimKashif Rajpoot

Parnesh RanigaYogesh RathiSaima RathoreNishant RavikumarShan E. Ahmed RazaIslem RekikBeatriz RemeseiroMarkus RempflerMauricio ReyesConstantino Reyes-AldasoroNicola RiekeLaurent RisserLeticia RittnerYong Man RoEmma RobinsonRafael RodriguesMarc-Michel RohéRobert RohlingKarl RohrPlantefeve RosalieHolger RothSu RuanDanny RuijtersJuan Ruiz-AlzolaMert SabuncuFrank SachseFarhang SahbaSeptimiu SalcudeanGerard SanromaEmine SaritasImari SatoAlexander SchlaeferJerome SchmidCaitlin SchneiderJessica SchrouffThomas SchultzSuman SedaiBiswa SenguptaOrtal SenoufMaxime SermesantCarmen SerranoAmit SethiMuhammad ShabanReuben ShamirYeqin ShaoLi Shen

XVI Organization

Bibo ShiKuangyu ShiHoo-Chang ShinRussell ShinoharaViviana SilessCarlos A. SilvaMatthew SinclairVivek SinghKorsuk SirinukunwattanaIhor SmalMichal SofkaJure SokolicHessam SokootiAhmed SolimanStefan SommerDiego SonaYang SongAristeidis SotirasJamshid SouratiRachel SparksZiga SpiclinLawrence StaibRalf StauderDarko SternColin StudholmeMartin StynerHeung-Il SukJian SunXu SunKyunghyun SungNima TajbakhshSylvain TakerkartChaowei TanJeremy TanMingkui TanHui TangMin TangYoubao TangYuxing TangChristine TannerQian TaoGiacomo TarroniZeike TaylorKim Han ThungYanmei TieDaniel Toth

Nicolas ToussaintJocelyne TroccazTomasz TrzcinskiAhmet TuysuzogluAndru TwinandaCarole TwiningEranga UkwattaMathias UnberathTamas UngiMartin UrschlerMaria VakalopoulouVanya ValindriaKoen Van LeemputHien Van NguyenGijs van TulderS. Swaroop VedulaHarini VeeraraghavanMiguel VegaAnant VemuriGopalkrishna VeniArchana VenkataramanFrançois-Xavier VialardPierre-Frederic VillardSatish ViswanathWolf-Dieter VoglIngmar VoigtTomaz VrtovecBo WangGuotai WangJiazhuo WangLiansheng WangManning WangSheng WangYalin WangZhe WangSimon WarfieldChong-Yaw WeeJuergen WeeseBenzheng WeiWolfgang WeinWilliam WellsRene WernerDaniel WesierskiMatthias WilmsAdam WittekJelmer Wolterink

Organization XVII

Ken C. L. WongJonghye WooPengxiang WuTobias WuerflYong XiaYiming XiaoWeidi XieYuanpu XieFangxu XingFuyong XingTao XiongDaguang XuYan XuZheng XuZhoubing XuZiyue XuWufeng XueJingwen YanKe YanYuguang YanZhennan YanDong YangGuang YangXiao YangXin YangJianhua YaoJiawen YaoXiaohui YaoChuyang YeMenglong YeJingru YiJinhua YuLequan YuWeimin YuYixuan YuanEvangelia ZacharakiErnesto Zacur

Guillaume ZahndMarco ZenatiKe ZengOliver ZettinigDaoqiang ZhangFan ZhangHan ZhangHeye ZhangJiong ZhangJun ZhangLichi ZhangLin ZhangLing ZhangMingli ZhangPin ZhangShu ZhangTong ZhangYong ZhangYunyan ZhangZizhao ZhangQingyu ZhaoShijie ZhaoYitian ZhaoGuoyan ZhengYalin ZhengYinqiang ZhengZichun ZhongLuping ZhouZhiguo ZhouDajiang ZhuWentao ZhuXiaofeng ZhuXiahai ZhuangAneeq ZiaVeronika ZimmerMajd ZreikReyer Zwiggelaar

Mentorship Program (Mentors)

Stephen Aylward Kitware Inc., USAChristian Barillot IRISA/CNRS/University of Rennes, FranceKayhan Batmanghelich University of Pittsburgh/Carnegie Mellon University,

USAChristos Bergeles King’s College London, UK

XVIII Organization

Marleen de Bruijne Erasmus Medical Center Rotterdam/Universityof Copenhagen, The Netherlands/Denmark

Cheng Li University of Alberta, CanadaStefanie Demirci Technical University of Munich, GermanySimon Duchesne University of Laval, CanadaEnzo Ferrante CONICET/Universidad Nacional del Litoral, ArgentinaAlejandro F. Frangi University of Leeds, UKMiguel A.

González-BallesterUniversitat Pompeu Fabra, Spain

Stamatia (Matina)Giannarou

Imperial College London, UK

Juan EugenioIglesias-Gonzalez

University College London, UK

Laura Igual Universitat de Barcelona, SpainLeo Joskowicz The Hebrew University of Jerusalem, IsraelBernhard Kainz Imperial College London, UKShuo Li University of Western Ontario, CanadaMarius G. Linguraru Children’s National Health System/George Washington

University, USALe Lu Ping An Technology US Research Labs, USATommaso Mansi Siemens Healthineers, USAAnne Martel Sunnybrook Research Institute, USAKensaku Mori Nagoya University, JapanParvin Mousavi Queen’s University, CanadaNassir Navab Technical University of Munich/Johns Hopkins

University, USAMarc Niethammer University of North Carolina at Chapel Hill, USAIpek Oguz University of Pennsylvania/Vanderbilt University,

USAJosien Pluim Eindhoven University of Technology, The NetherlandsJerry L. Prince Johns Hopkins University, USANicola Rieke NVIDIA Corp./Technical University of Munich,

GermanyDaniel Rueckert Imperial College London, UKJulia A. Schnabel King’s College London, UKRaphael Sznitman University of Bern, SwitzerlandJocelyne Troccaz CNRS/University of Grenoble, FranceGozde Unal Istanbul Technical University, TurkeyMax A. Viergever Utrecht University/University Medical Center Utrecht,

The NetherlandsLinwei Wang Rochester Institute of Technology, USAYanwu Xu Baidu Inc., ChinaMiaomiao Zhang Lehigh University, USAGuoyan Zheng University of Bern, SwitzerlandLilla Zöllei Massachusetts General Hospital, USA

Organization XIX

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

XX Organization

Contents – Part IV

Computer Assisted Interventions: Image Guided Interventionsand Surgery

Uncertainty in Multitask Learning: Joint Representations for ProbabilisticMR-only Radiotherapy Planning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen,Wenqi Li, David J. Hawkes, Sebastien Ourselin, Daniel C. Alexander,Jamie R. McClelland, and M. Jorge Cardoso

A Combined Simulation and Machine Learning Approach for Image-BasedForce Classification During Robotized Intravitreal Injections . . . . . . . . . . . . 12

Andrea Mendizabal, Tatiana Fountoukidou, Jan Hermann,Raphael Sznitman, and Stephane Cotin

Learning from Noisy Label Statistics: Detecting High Grade ProstateCancer in Ultrasound Guided Biopsy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

Shekoofeh Azizi, Pingkun Yan, Amir Tahmasebi, Peter Pinto,Bradford Wood, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter Choyke,Parvin Mousavi, and Purang Abolmaesumi

A Feature-Driven Active Framework for Ultrasound-Based BrainShift Compensation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30

Jie Luo, Matthew Toews, Ines Machado, Sarah Frisken,Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding,Steve Pieper, Polina Golland, Alexandra Golby, Masashi Sugiyama,and William M. Wells III

Soft-Body Registration of Pre-operative 3D Models to Intra-operativeRGBD Partial Body Scans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39

Richard Modrzejewski, Toby Collins, Adrien Bartoli,Alexandre Hostettler, and Jacques Marescaux

Automatic Classification of Cochlear Implant ElectrodeCavity Positioning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47

Jack H. Noble, Robert F. Labadie, and Benoit M. Dawant

X-ray-transform Invariant Anatomical Landmark Detectionfor Pelvic Trauma Surgery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55

Bastian Bier, Mathias Unberath, Jan-Nico Zaech, Javad Fotouhi,Mehran Armand, Greg Osgood, Nassir Navab, and Andreas Maier

Endoscopic Navigation in the Absence of CT Imaging . . . . . . . . . . . . . . . . 64Ayushi Sinha, Xingtong Liu, Austin Reiter, Masaru Ishii,Gregory D. Hager, and Russell H. Taylor

A Novel Mixed Reality Navigation System for Laparoscopy Surgery . . . . . . 72Jagadeesan Jayender, Brian Xavier, Franklin King, Ahmed Hosny,David Black, Steve Pieper, and Ali Tavakkoli

Respiratory Motion Modelling Using cGANs . . . . . . . . . . . . . . . . . . . . . . . 81Alina Giger, Robin Sandkühler, Christoph Jud, Grzegorz Bauman,Oliver Bieri, Rares Salomir, and Philippe C. Cattin

Physics-Based Simulation to Enable Ultrasound Monitoring of HIFUAblation: An MRI Validation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89

Chloé Audigier, Younsu Kim, Nicholas Ellens, and Emad M. Boctor

DeepDRR – A Catalyst for Machine Learningin Fluoroscopy-Guided Procedures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98

Mathias Unberath, Jan-Nico Zaech, Sing Chun Lee, Bastian Bier,Javad Fotouhi, Mehran Armand, and Nassir Navab

Exploiting Partial Structural Symmetry for Patient-Specific ImageAugmentation in Trauma Interventions . . . . . . . . . . . . . . . . . . . . . . . . . . . 107

Javad Fotouhi, Mathias Unberath, Giacomo Taylor,Arash Ghaani Farashahi, Bastian Bier, Russell H. Taylor,Greg M. Osgood, Mehran Armand, and Nassir Navab

Intraoperative Brain Shift Compensation Using a Hybrid Mixture Model . . . . 116Siming Bayer, Nishant Ravikumar, Maddalena Strumia,Xiaoguang Tong, Ying Gao, Martin Ostermeier, Rebecca Fahrig,and Andreas Maier

Video-Based Computer Aided Arthroscopy for Patient SpecificReconstruction of the Anterior Cruciate Ligament . . . . . . . . . . . . . . . . . . . . 125

Carolina Raposo, Cristóvão Sousa, Luis Ribeiro, Rui Melo,João P. Barreto, João Oliveira, Pedro Marques, and Fernando Fonseca

Simultaneous Segmentation and Classification of Bone Surfacesfrom Ultrasound Using a Multi-feature Guided CNN . . . . . . . . . . . . . . . . . . 134

Puyang Wang, Vishal M. Patel, and Ilker Hacihaliloglu

Endoscopic Laser Surface Scanner for Minimally InvasiveAbdominal Surgeries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143

Jordan Geurten, Wenyao Xia, Uditha Jayarathne, Terry M. Peters,and Elvis C. S. Chen

XXII Contents – Part IV

Deep Adversarial Context-Aware Landmark Detectionfor Ultrasound Imaging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151

Ahmet Tuysuzoglu, Jeremy Tan, Kareem Eissa, Atilla P. Kiraly,Mamadou Diallo, and Ali Kamen

Towards a Fast and Safe LED-Based Photoacoustic Imaging Using DeepConvolutional Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159

Emran Mohammad Abu Anas, Haichong K. Zhang, Jin Kang,and Emad M. Boctor

An Open Framework Enabling Electromagnetic Trackingin Image-Guided Interventions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168

Herman Alexander Jaeger, Stephen Hinds,and Pádraig Cantillon-Murphy

Colon Shape Estimation Method for Colonoscope Tracking UsingRecurrent Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176

Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kasuhiro Furukawa,Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab,and Kensaku Mori

Towards Automatic Report Generation in Spine Radiology Using WeaklySupervised Framework. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185

Zhongyi Han, Benzheng Wei, Stephanie Leung, Jonathan Chung,and Shuo Li

Computer Assisted Interventions: Surgical Planning, Simulationand Work Flow Analysis

A Natural Language Interface for Dissemination of ReproducibleBiomedical Data Science . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197

Rogers Jeffrey Leo John, Jignesh M. Patel, Andrew L. Alexander,Vikas Singh, and Nagesh Adluru

Spatiotemporal Manifold Prediction Model for Anterior Vertebral BodyGrowth Modulation Surgery in Idiopathic Scoliosis . . . . . . . . . . . . . . . . . . . 206

William Mandel, Olivier Turcot, Dejan Knez, Stefan Parent,and Samuel Kadoury

Evaluating Surgical Skills from Kinematic Data Using ConvolutionalNeural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber,Lhassane Idoumghar, and Pierre-Alain Muller

Contents – Part IV XXIII

Needle Tip Force Estimation Using an OCT Fiber and a FusedconvGRU-CNN Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222

Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni,David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann,Christoph Otte, and Alexander Schlaefer

Fast GPU Computation of 3D Isothermal Volumes in the Vicinity of MajorBlood Vessels for Multiprobe Cryoablation Simulation . . . . . . . . . . . . . . . . 230

Ehsan Golkar, Pramod P. Rao, Leo Joskowicz, Afshin Gangi,and Caroline Essert

A Machine Learning Approach to Predict Instrument Bendingin Stereotactic Neurosurgery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238

Alejandro Granados, Matteo Mancini, Sjoerd B. Vos, Oeslle Lucena,Vejay Vakharia, Roman Rodionov, Anna Miserocchi,Andrew W. McEvoy, John S. Duncan, Rachel Sparks,and Sébastien Ourselin

Deep Reinforcement Learning for Surgical Gesture Segmentationand Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247

Daochang Liu and Tingting Jiang

Automated Performance Assessment in TransoesophagealEchocardiography with Convolutional Neural Networks . . . . . . . . . . . . . . . . 256

Evangelos B. Mazomenos, Kamakshi Bansal, Bruce Martin,Andrew Smith, Susan Wright, and Danail Stoyanov

DeepPhase: Surgical Phase Recognition in CATARACTS Videos . . . . . . . . . 265Odysseas Zisimopoulos, Evangello Flouty, Imanol Luengo,Petros Giataganas, Jean Nehme, Andre Chow, and Danail Stoyanov

Surgical Activity Recognition in Robot-Assisted Radical ProstatectomyUsing Deep Learning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273

Aneeq Zia, Andrew Hung, Irfan Essa, and Anthony Jarc

Unsupervised Learning for Surgical Motion by Learning to Predictthe Future . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281

Robert DiPietro and Gregory D. Hager

Computer Assisted Interventions: Visualizationand Augmented Reality

Volumetric Clipping Surface: Un-occluded Visualization of StructuresPreserving Depth Cues into Surrounding Organs . . . . . . . . . . . . . . . . . . . . . 291

Bhavya Ajani, Aditya Bharadwaj, and Karthik Krishnan

XXIV Contents – Part IV

Closing the Calibration Loop: An Inside-Out-Tracking Paradigm forAugmented Reality in Orthopedic Surgery . . . . . . . . . . . . . . . . . . . . . . . . . 299

Jonas Hajek, Mathias Unberath, Javad Fotouhi, Bastian Bier,Sing Chun Lee, Greg Osgood, Andreas Maier, Mehran Armand,and Nassir Navab

Higher Order of Motion Magnification for Vessel Localisationin Surgical Video . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307

Mirek Janatka, Ashwin Sridhar, John Kelly, and Danail Stoyanov

Simultaneous Surgical Visibility Assessment, Restoration, and AugmentedStereo Surface Reconstruction for Robotic Prostatectomy . . . . . . . . . . . . . . . 315

Xiongbiao Luo, Ying Wan, Hui-Qing Zeng, Yingying Guo,Henry Chidozie Ewurum, Xiao-Bin Zhang, A. Jonathan McLeod,and Terry M. Peters

Real-Time Augmented Reality for Ear Surgery . . . . . . . . . . . . . . . . . . . . . . 324Raabid Hussain, Alain Lalande, Roberto Marroquin,Kibrom Berihu Girum, Caroline Guigou, and Alexis Bozorg Grayeli

Framework for Fusion of Data- and Model-Based Approachesfor Ultrasound Simulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 332

Christine Tanner, Rastislav Starkov, Michael Bajka, and Orcun Goksel

Image Segmentation Methods: General Image Segmentation Methods,Measures and Applications

Esophageal Gross Tumor Volume Segmentation Using a 3D ConvolutionalNeural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343

Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Femke P. Peters,Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, and Marius Staring

Deep Learning Based Instance Segmentation in 3D Biomedical ImagesUsing Weak Annotation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352

Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Siyuan Zhang,and Danny Z. Chen

Learn the New, Keep the Old: Extending Pretrained Models with NewAnatomy and Images. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361

Firat Ozdemir, Philipp Fuernstahl, and Orcun Goksel

ASDNet: Attention Based Semi-supervised Deep Networks for MedicalImage Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 370

Dong Nie, Yaozong Gao, Li Wang, and Dinggang Shen

Contents – Part IV XXV

MS-Net: Mixed-Supervision Fully-Convolutional Networksfor Full-Resolution Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379

Meet P. Shah, S. N. Merchant, and Suyash P. Awate

How to Exploit Weaknesses in Biomedical Challenge Designand Organization. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388

Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic,Patrick Scholz, Peter M. Full, Hrvoje Bogunovic, Bennett A. Landman,Oskar Maier, Bjoern Menze, Gregory C. Sharp,Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen,Guoyan Zheng, Henning Müller, Michal Kozubek, Tal Arbel,Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider,and Lena Maier-Hein

Accurate Weakly-Supervised Deep Lesion Segmentation UsingLarge-Scale Clinical Annotations: Slice-Propagated 3D Mask Generationfrom 2D RECIST . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 396

Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan,Jing Xiao, Lin Yang, and Ronald M. Summers

Semi-automatic RECIST Labeling on CT Scans with CascadedConvolutional Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405

Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri, Jing Xiao,and Ronald M. Summers

Image Segmentation Methods: Multi-organ Segmentation

A Multi-scale Pyramid of 3D Fully Convolutional Networks for AbdominalMulti-organ Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417

Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino,Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, and Kensaku Mori

3D U-JAPA-Net: Mixture of Convolutional Networks for AbdominalMulti-organ CT Segmentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 426

Hideki Kakeya, Toshiyuki Okada, and Yukio Oshiro

Training Multi-organ Segmentation Networks with Sample Selectionby Relaxed Upper Confident Bound . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 434

Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman,and Alan L. Yuille

XXVI Contents – Part IV

Image Segmentation Methods: Abdominal Segmentation Methods

Bridging the Gap Between 2D and 3D Organ Segmentationwith Volumetric Fusion Net . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445

Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman,and Alan L. Yuille

Segmentation of Renal Structures for Image-Guided Surgery . . . . . . . . . . . . 454Junning Li, Pechin Lo, Ahmed Taha, Hang Wu, and Tao Zhao

Kid-Net: Convolution Networks for Kidney Vessels Segmentationfrom CT-Volumes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 463

Ahmed Taha, Pechin Lo, Junning Li, and Tao Zhao

Local and Non-local Deep Feature Fusion for Malignancy Characterizationof Hepatocellular Carcinoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 472

Tianyou Dou, Lijuan Zhang, Hairong Zheng, and Wu Zhou

A Novel Bayesian Model Incorporating Deep Neural Networkand Statistical Shape Model for Pancreas Segmentation . . . . . . . . . . . . . . . . 480

Jingting Ma, Feng Lin, Stefan Wesarg, and Marius Erdt

Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks . . . . 488Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang,Jianping Yin, and Dinggang Shen

Generalizing Deep Models for Ultrasound Image Segmentation . . . . . . . . . . 497Xin Yang, Haoran Dou, Ran Li, Xu Wang, Cheng Bian, Shengli Li,Dong Ni, and Pheng-Ann Heng

Inter-site Variability in Prostate Segmentation Accuracy UsingDeep Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 506

Eli Gibson, Yipeng Hu, Nooshin Ghavami, Hashim U. Ahmed,Caroline Moore, Mark Emberton, Henkjan J. Huisman,and Dean C. Barratt

Deep Learning-Based Boundary Detection for Model-Based Segmentationwith Application to MR Prostate Segmentation . . . . . . . . . . . . . . . . . . . . . . 515

Tom Brosch, Jochen Peters, Alexandra Groth, Thomas Stehle,and Jürgen Weese

Deep Attentional Features for Prostate Segmentation in Ultrasound . . . . . . . . 523Yi Wang, Zijun Deng, Xiaowei Hu, Lei Zhu, Xin Yang, Xuemiao Xu,Pheng-Ann Heng, and Dong Ni

Contents – Part IV XXVII

Accurate and Robust Segmentation of the Clinical Target Volumefor Prostate Brachytherapy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 531

Davood Karimi, Qi Zeng, Prateek Mathur, Apeksha Avinash,Sara Mahdavi, Ingrid Spadinger, Purang Abolmaesumi,and Septimiu Salcudean

Image Segmentation Methods: Cardiac Segmentation Methods

Hashing-Based Atlas Ranking and Selection for Multiple-AtlasSegmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 543

Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang,Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth Clarkson,and Nassir Navab

Corners Detection for Bioresorbable Vascular Scaffolds Segmentationin IVOCT Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 552

Linlin Yao, Yihui Cao, Qinhua Jin, Jing Jing, Yundai Chen, Jianan Li,and Rui Zhu

The Deep Poincaré Map: A Novel Approach for Left VentricleSegmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 561

Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang,Jingqing Zhang, Taigang He, and Yike Guo

Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated ResidualNetwork for Whole Heart Segmentation from 3D MR Images . . . . . . . . . . . 569

Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li,Guang Yang, and Guoyan Zheng

Real-Time Prediction of Segmentation Quality . . . . . . . . . . . . . . . . . . . . . . 578Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria,Mihir M. Sanghvi, Nay Aung, José M. Paiva, Filip Zemrak,Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella,Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer,Steffen E. Petersen, Chris Page, Daniel Rueckert, and Ben Glocker

Recurrent Neural Networks for Aortic Image Sequence Segmentationwith Sparse Annotations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 586

Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay,Paul M. Matthews, and Daniel Rueckert

Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MRImages in Patients with Pulmonary Hypertension . . . . . . . . . . . . . . . . . . . . 595

Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes,Ghalib Bello, Georgia Doumou, Antonio De Marvao,Declan P. O’Regan, and Daniel Rueckert

XXVIII Contents – Part IV

Atrial Fibrosis Quantification Based on Maximum Likelihood Estimatorof Multivariate Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 604

Fuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin,David Firmin, Jennifer Keegan, Lingchao Xu, and Xiahai Zhuang

Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis CineMRI: Preserving the Temporal Coherence of Cardiac Motion . . . . . . . . . . . . 613

Wenjun Yan, Yuanyuan Wang, Zeju Li, Rob J. van der Geest,and Qian Tao

VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiographywith Atlas Guided Generation and Voxel-to-Voxel Discrimination. . . . . . . . . 622

Suyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao,Ashley Mercado, Olga Shmuilovich, Henggui Zhang, and Shuo Li

Domain and Geometry Agnostic CNNs for Left Atrium Segmentationin 3D Ultrasound . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 630

Markus A. Degel, Nassir Navab, and Shadi Albarqouni

Image Segmentation Methods: Chest, Lung and Spine Segmentation

Densely Deep Supervised Networks with Threshold Loss for CancerDetection in Automated Breast Ultrasound . . . . . . . . . . . . . . . . . . . . . . . . . 641

Na Wang, Cheng Bian, Yi Wang, Min Xu, Chenchen Qin, Xin Yang,Tianfu Wang, Anhua Li, Dinggang Shen, and Dong Ni

Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learningof Local Spine Prior . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 649

Anjany Sekuboyina, Markus Rempfler, Jan Kukačka, Giles Tetteh,Alexander Valentinitsch, Jan S. Kirschke, and Bjoern H. Menze

AtlasNet: Multi-atlas Non-linear Deep Networks for MedicalImage Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 658

M. Vakalopoulou, G. Chassagnon, N. Bus, R. Marini, E. I. Zacharaki,M.-P. Revel, and N. Paragios

CFCM: Segmentation via Coarse to Fine Context Memory. . . . . . . . . . . . . . 667Fausto Milletari, Nicola Rieke, Maximilian Baust, Marco Esposito,and Nassir Navab

Image Segmentation Methods: Other Segmentation Applications

Pyramid-Based Fully Convolutional Networks for Cell Segmentation . . . . . . 677Tianyi Zhao and Zhaozheng Yin

Contents – Part IV XXIX

Automated Object Tracing for Biomedical Image SegmentationUsing a Deep Convolutional Neural Network . . . . . . . . . . . . . . . . . . . . . . . 686

Erica M. Rutter, John H. Lagergren, and Kevin B. Flores

RBC Semantic Segmentation for Sickle Cell Disease Basedon Deformable U-Net . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 695

Mo Zhang, Xiang Li, Mengjia Xu, and Quanzheng Li

Accurate Detection of Inner Ears in Head CTs Using a DeepVolume-to-Volume Regression Network with False Positive Suppressionand a Shape-Based Constraint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 703

Dongqing Zhang, Jianing Wang, Jack H. Noble, and Benoit M. Dawant

Automatic Teeth Segmentation in Panoramic X-Ray ImagesUsing a Coupled Shape Model in Combination with a Neural Network . . . . . 712

Andreas Wirtz, Sudesh Ganapati Mirashi, and Stefan Wesarg

Craniomaxillofacial Bony Structures Segmentation from MRIwith Deep-Supervision Adversarial Learning . . . . . . . . . . . . . . . . . . . . . . . 720

Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong,Sahar Ahmad, Angela Ho, Peng Yuan, Steve H. Fung, Hannah H. Deng,James Xia, and Dinggang Shen

Automatic Skin Lesion Segmentation on Dermoscopic Imagesby the Means of Superpixel Merging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 728

Diego Patiño, Jonathan Avendaño, and John W. Branch

Star Shape Prior in Fully Convolutional Networks for SkinLesion Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 737

Zahra Mirikharaji and Ghassan Hamarneh

Fast Vessel Segmentation and Tracking in Ultra High-FrequencyUltrasound Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 746

Tejas Sudharshan Mathai, Lingbo Jin, Vijay Gorantla,and John Galeotti

Deep Reinforcement Learning for Vessel Centerline Tracingin Multi-modality 3D Volumes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 755

Pengyue Zhang, Fusheng Wang, and Yefeng Zheng

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 765

XXX Contents – Part IV