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dc.contributor.authorVan Steenkiste, Tom
dc.contributor.authorRuyssinck, Joeri
dc.contributor.authorJanssens, Olivier
dc.contributor.authorVandersmissen, Baptist
dc.contributor.authorVandecasteele, Florian
dc.contributor.authorDevolder, Pieter
dc.contributor.authorAchten, Eric
dc.contributor.authorVan Hoecke, Sofie
dc.contributor.authorDeschrijver, Dirk
dc.contributor.authorDhaene, Tom
dc.date.accessioned2021-10-26T07:30:36Z
dc.date.available2021-10-26T07:30:36Z
dc.date.issued2018
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/32109
dc.sourceIIOimport
dc.titleAutomated assessment of bone age using deep learning and Gaussian process regression
dc.typeProceedings paper
dc.contributor.imecauthorVan Steenkiste, Tom
dc.contributor.imecauthorRuyssinck, Joeri
dc.contributor.imecauthorVan Hoecke, Sofie
dc.contributor.imecauthorDeschrijver, Dirk
dc.contributor.imecauthorDhaene, Tom
dc.contributor.orcidimecVan Hoecke, Sofie::0000-0002-7865-6793
dc.contributor.orcidimecDeschrijver, Dirk::0000-0001-6600-1792
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage674
dc.source.endpage677
dc.source.conference40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - EMBC
dc.source.conferencedate18/07/2018
dc.source.conferencelocationHonolulu, HI USA
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8512334
imec.availabilityPublished - open access
imec.internalnotesISBN 978-1-5386-3646-6


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