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dc.contributor.authorDhont, Jennifer
dc.contributor.authorCusumano, Davide
dc.contributor.authorBoldrini, Luca
dc.contributor.authorChiloiro, Giuditta
dc.contributor.authorAzario, Luigi
dc.contributor.authorCellini, Francesco
dc.contributor.authorOmelina, Lubos
dc.contributor.authorVandemeulebroucke, Jef
dc.contributor.authorVerellen, Dirk
dc.contributor.authorValentini, Vincenzo
dc.date.accessioned2021-10-25T18:10:52Z
dc.date.available2021-10-25T18:10:52Z
dc.date.issued2018
dc.identifier.issn0167-8140
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/30622
dc.sourceIIOimport
dc.titleReal-time long-term multi-object tracking on cineMR using a tracking-learning-detection framework
dc.typeJournal article
dc.contributor.imecauthorOmelina, Lubos
dc.contributor.imecauthorVandemeulebroucke, Jef
dc.contributor.orcidimecVandemeulebroucke, Jef::0000-0001-5714-3254
dc.source.peerreviewyes
dc.source.beginpageS99
dc.source.endpageS100
dc.source.journalRadiotherapy and Oncology
dc.source.issue1
dc.source.volume127
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0167814018304961
imec.availabilityPublished - imec
imec.internalnotesSpecial issue: ESTRO 37, April 20-24, 2018, Barcelona, Spain


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