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dc.contributor.authorAstudillo, P.
dc.contributor.authorMortier, P.
dc.contributor.authorDe Beule, M.
dc.contributor.authorWyffels, Francis
dc.date.accessioned2021-10-28T20:11:30Z
dc.date.available2021-10-28T20:11:30Z
dc.date.issued2020
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/34656
dc.sourceIIOimport
dc.titleCurriculum deep reinforcement learning with different exploration strategies : a feasibility study on cardiac landmark detection
dc.typeProceedings paper
dc.contributor.imecauthorWyffels, Francis
dc.contributor.orcidimecWyffels, Francis::0000-0002-5491-8349
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage37
dc.source.endpage45
dc.source.conference13th International Joint Conference on Biomedical Engineering Systems and Technologies - (Volume 2)
dc.source.conferencedate24/02/2020
dc.source.conferencelocationValetta Malta
imec.availabilityPublished - open access
imec.internalnotesISBN 9789897583988


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