AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design

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dc.contributor.authorLi, Jianning
dc.contributor.authorPimentel, Pedro
dc.contributor.authorSzengel, Angelika
dc.contributor.authorEhlke, Moritz
dc.contributor.authorLamecker, Hans
dc.contributor.authorZachow, Stefan
dc.contributor.authorEstacio, Laura
dc.contributor.authorDoenitz, Christian
dc.contributor.authorRamm, Heiko
dc.contributor.authorShi, Haochen
dc.contributor.authorChen, Xiaojun
dc.contributor.authorMatzkin, Franco
dc.contributor.authorNewcombe, Virginia
dc.contributor.authorFerrante, Enzo
dc.contributor.authorJin, Yuan
dc.contributor.authorEllis, David G.
dc.contributor.authorAizenberg, Michele R.
dc.contributor.authorKodym, Oldrich
dc.contributor.authorSpanel, Michal
dc.contributor.authorHerout, Adam
dc.contributor.authorMainprize, James G
dc.contributor.authorFishman, Zachary
dc.contributor.authorHardisty, Michael R.
dc.contributor.authorBayat, Amirhossein
dc.contributor.authorShit, Suprosanna
dc.contributor.authorWang, Bomin
dc.contributor.authorLiu, Zhi
dc.contributor.authorEder, Matthias
dc.contributor.authorPepe, Antonio
dc.contributor.authorGsaxner, Christina
dc.contributor.authorAlves, Victor
dc.contributor.authorZefferer, Ulrike
dc.contributor.authorvon Campe, Gord
dc.contributor.authorPistracher, Karin
dc.contributor.authorSchafer, Ute
dc.contributor.authorSchmalstieg, Dieter
dc.contributor.authorMenze, Bjoern H.
dc.contributor.authorGlocker, Ben
dc.contributor.authorEgger, Jan
dc.date.accessioned2022-03-10T23:42:17Z
dc.date.available2022-03-10T23:42:17Z
dc.date.issued2021
dc.description.abstractThe aim of this paper is to provide a comprehensive overview of the MICCAI 2020 AutoImplant Challenge. The approaches and publications submitted and accepted within the challenge will be summarized and reported, highlighting common algorithmic trends and algorithmic diversity. Furthermore, the evaluation results will be presented, compared and discussed in regard to the challenge aim: seeking for low cost, fast and fully automated solutions for cranial implant design. Based on feedback from collaborating neurosurgeons, this paper concludes by stating open issues and post-challenge requirements for intra-operative use. The codes can be found at https://github.com/Jianningli/tmi. © 1982-2012 IEEEes_PE
dc.description.uriTrabajo académicoes_PE
dc.identifier.doi10.1109/TMI.2021.3077047es_PE
dc.identifier.issn02780062
dc.identifier.urihttps://hdl.handle.net/20.500.12590/17066
dc.language.isoenges_PE
dc.publisherInstitute of Electrical and Electronics Engineers Inc.es_PE
dc.publisher.countryPEes_PE
dc.relationinfo:eu-repo/semantics/articlees_PE
dc.relation.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85105867867&origin=resultslist&sort=plf-f&src=s&nlo=&nlr=&nls=&sid=bf6bae9a56b2331387d9f5550bd7ed65&sot=aff&sdt=cl&cluster=scopubyr%2c%222021%22%2ct&sl=48&s=AF-ID%28%22Universidad+Cat%c3%b3lica+San+Pablo%22+60105300%29&relpos=13&citeCnt=10&searchTerm=&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.subjectCranioplastyes_PE
dc.subjectDeep learninges_PE
dc.subjectShape inpaintinges_PE
dc.subjectShape priores_PE
dc.subjectSkull reconstructiones_PE
dc.subjectStatistical shape modeles_PE
dc.subjectVolumetric shape completiones_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.01es_PE
dc.titleAutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Designes_PE
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_PE
renati.typehttps://purl.org/pe-repo/renati/type#trabajoAcademico
thesis.degree.disciplineCiencia de la Computaciónes_PE
thesis.degree.grantorUniversidad Católica San Pablo. Departamento de Ciencia de la Computaciónes_PE
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