Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures: 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings PDF
Preview Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures: 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings
Tanveer Syeda-Mahmood Klaus Drechsler et al. (Eds.) Multimodal Learning for Clinical Decision 5 4 4 2 Support and Clinical 1 S C Image-Based Procedures N L 10th International Workshop, ML-CDS 2020 and 9th International Workshop, CLIP 2020 Held in Conjunction with MICCAI 2020 Lima, Peru, October 4–8, 2020, Proceedings Lecture Notes in Computer Science 12445 Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA More information about this series at http://www.springer.com/series/7412 Tanveer Syeda-Mahmood (cid:129) Klaus Drechsler et al. (Eds.) Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures 10th International Workshop, ML-CDS 2020 and 9th International Workshop, CLIP 2020 Held in Conjunction with MICCAI 2020 – Lima, Peru, October 4 8, 2020 Proceedings 123 Editors Tanveer Syeda-Mahmood KlausDrechsler IBMAlmaden Research Center Aachen University of AppliedSciences SanJose, CA,USA Aachen, Germany Additional WorkshopEditors seenextpage ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notesin Computer Science ISBN 978-3-030-60945-0 ISBN978-3-030-60946-7 (eBook) https://doi.org/10.1007/978-3-030-60946-7 LNCSSublibrary:SL6–ImageProcessing,ComputerVision,PatternRecognition,andGraphics ©SpringerNatureSwitzerlandAG2020 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynow knownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbookare believedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictionalclaimsin publishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Additional Workshop Editors ML-CDS 2020Editors HayitGreenspan AnantMadabhushi TelAviv University CaseWestern ReserveUniversity Ramat Aviv, Israel Cleveland, OH, USA Alexandros Karargyris IBMAlmaden Research Center SanJose, CA,USA CLIP2020Editors Cristina Oyarzun Laura Marius George Linguraru Fraunhofer-Institute Children’sNational Hospital for Computer Graphics Research (IGD) Washington, DC,USA Darmstadt, Germany RajShekhar StefanWesarg Children’sNational Hospital Fraunhofer-Institute for Computer Graphics Washington, DC,USA Research (IGD) Darmstadt, Germany Miguel Ángel González Ballester Universitat PompeuFabra Marius Erdt Barcelona,Spain Fraunhofer Singapore Singapore, Singapore Preface ML-CDS 2020 On behalf of the organizing committee, we welcome you to the 10th Workshop on Multimodal Learning for Clinical Decision Support. The goal of these series of workshopsistobringtogetherresearchersinmedicalimaging,medicalimageretrieval, data mining, text retrieval, and machine learning/AI communities to discuss new techniques of multimodal mining/retrieval and their use in clinical decision support. Although the title of the workshop has changed slightly over the years, the common themepreservedisthenotionofclinicaldecisionsupportandtheneedformultimodal analysis. The previous seven workshops on this topic have been well-received at MICCAI,specifically,inShenzen(2019),Granada(2018),QuebecCity(2017),Athens (2016), Munich (2015), Nagoya (2013), Nice(2012), Toronto (2011), and London (2009). Continuing on the momentum built by these workshops, our focus remains on multimodal learning. As has been the norm with these workshops, the papers were submittedin8pagedouble-blindformatandwereacceptedafterreview.Theworkshop continued to stay with an oral format for all the presentations. The day ended with a lively panel composed of more doctors, medical imaging researchers, and industry experts. This year we also invited researchers to participate in a tubes and lines detection challenge within the program. Finally, as has been our tradition, our invited speakers were from the clinician world. This year, we highlighted progress in digital pathology with Dr. Michael Feldman from the University of Pennsylvania as our invited speaker. With less than 5% of medical image analysis techniques translating to clinical practice,workshopsonthistopichavehelpedraisetheawarenessofourfieldtoclinical practitioners. The approach taken in the workshop is to scale it to large collections of patient data exposing interesting issues of multimodal learning and its specific use in clinical decision support by practicing physicians. With the introduction of intelligent browsing and summarization methods, we hope to also address the ease-of-use in conveying derived informationto clinicians to aidtheir adoption. Finally, theultimate impactofthesemethodscanbejudgedwhentheybegintoaffecttreatmentplanningin clinical practice. We hope you enjoyed the program we have assembled and actively participated in the discussion on the topics of the papers and the panel. October 2020 Tanveer Syeda-Mahmood Hayit Greenspan Anant Madabhushi Alexandros Karargyris Organization Program Chairs Tanveer Syeda-Mahmood IBM Research, USA Alexandros Karargyris IBM Research, USA Hayit Greenspan Tel-Aviv University, Israel Anant Madabhushi Case Western Reserve University, USA Program Committee Amir Amini University of Louisville, USA Sameer Antani National Library of Medicine, USA Rivka Colen MD Andersen Research Center, USA Keyvan Farahani National Cancer Institute, USA Alejandro Frangi The University of Sheffield, UK Guido Gerig The University of Utah, USA David Gutman Emory University, USA Allan Halpern Memorial Sloan-Kettering Research Center, USA Ghassan Hamarneh Simon Fraser University, Canada Jayshree Kalpathy-Kramer Massachusetts General Hospital, USA Ron Kikinis Harvard University, USA Georg Langs Medical University of Vienna, Austria Robert Lundstrom Kaiser Permanente, USA B. Manjunath University of California, Santa Barbara, USA Dimitris Metaxas Rutgers, USA Nikos Paragios École Centrale Paris, France Daniel Racoceanu National University of Singapore, Singapore Eduardo Romero Universidad Nacional de Colombia, Colombia Daniel Rubin Stanford University, USA Russ Taylor Johns Hopkins University, USA Agma Traina University of São Paulo, Brazil Max Viergewer Utrecht University, The Netherlands Sean Zhou Siemens Corporate Research, USA Preface CLIP 2020 On October 4, 2020, the 9th International Workshop on Clinical Image-based Procedures:FromPlanningtoIntervention(CLIP2020),washeldinconjunctionwith the 23rd International Conference on Medical Image Computing and Computer AssistedIntervention(MICCAI2020).DuetotheCOVID-19pandemic,theworkshop was held as an online-only meeting to contribute to slowing down the spread of the virus. Despite the challenges involved, we have continued to build on what we have successfully practiced over the past eight years: providing a platform for the dissemination of clinically tested, state-of-the-art methods for image-based planning, monitoring, and evaluation of medical procedures. AmajorfocusofCLIP2020wasonthecreationofholisticpatientmodelstobetter understand the need of the individual patient and thus provide better diagnoses and therapies. In this context, it is becoming increasingly important to not only base decisions on image data alone, but to combine these with non-image data, such as ‘omics’ data, electronic medical records, electroencephalograms, and others. This approachoffersexcitingopportunitiestoresearch.CLIPprovidesaplatformtopresent and discuss these developments and work, centered on specific clinical applications already in use and evaluated by clinical users. In 2020, CLIP accepted nine original manuscripts from all over the world for oral presentationattheonlineevent.Eachofthemanuscriptsunderwentasingle-blindpeer review by two members of the Program Committee, all of them prestigious experts in the field of medical image analysis and clinical translations of technology. We would like to thank our Program Committee for its invaluable contributions and continuous support of CLIP over the years. It is not always easy to find the time to support our workshopgivenfullschedulesandchallengesduetotheongoingpandemic,andweare very grateful to all our members because CLIP 2020 would not have been possible without them. We would also like to thank all the authors for their high-quality contributionsthisyearaswellastheireffortstomakeCLIP2020asuccess.Finally,we would like to thank all MICCAI 2020 organizers for supporting the organization of CLIP 2020. October 2020 Klaus Drechsler Marius George Linguraru Cristina Oyarzun Laura Raj Shekhar Stefan Wesarg Miguel Ángel González Ballester Marius Erdt Organization Organizing Committee Klaus Drechsler Aachen University of Applied Sciences, Germany Marius Erdt Fraunhofer Singapore, Singapore Miguel González Ballester ICREA, Universitat Pompeu Fabra, Spain Marius George Linguraru Children’s National Hospital, USA Cristina Oyarzun Laura Fraunhofer IGD, Germany Raj Shekhar Children’s National Hospital, USA Stefan Wesarg Fraunhofer IGD, Germany Program Committee Yufei Chen Tongji University, China Jan Egger TU Graz, Austria Chaoqun Dong Fraunhofer Singapore, Singapore Katarzyna Heryan AGH University of Science and Technology, Poland Yogesh Karpate Gauss and Riemann Scientific, India Roman Martel Fraunhofer Singapore, Singapore Luís Rüger Sacco Fraunhofer Singapore, Singapore Xingzi Zhang Fraunhofer Singapore, Singapore Stephan Zidowitz Fraunhofer MEVIS, Germany
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