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A Deep Convolutional Framelet Network based on Tight steerable Wavelet: application to sparse-view medical tomosynthesis

dc.contributor.authorPereira, Luis F. Alves
dc.contributor.authorVan Nieuwenhove, Vincent
dc.contributor.authorDe Beenhouwer, Jan
dc.contributor.authorSijbers, Jan
dc.date.accessioned2021-10-31T10:22:47Z
dc.date.available2021-10-31T10:22:47Z
dc.date.issued2021-10
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/37054
dc.sourceIIOimport
dc.titleA Deep Convolutional Framelet Network based on Tight steerable Wavelet: application to sparse-view medical tomosynthesis
dc.typeProceedings paper
dc.contributor.imecauthorDe Beenhouwer, Jan
dc.contributor.imecauthorSijbers, Jan
dc.contributor.orcidimecDe Beenhouwer, Jan::0000-0001-5253-1274
dc.contributor.orcidimecSijbers, Jan::0000-0003-4225-2487
dc.source.peerreviewyes
dc.source.beginpage399
dc.source.endpage402
dc.source.conferenceProceedings of the 16th Virtual International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine
dc.source.conferencedate19/07/2021
dc.source.conferencelocationLeuven Belgi�
dc.identifier.urlhttps://arxiv.org/abs/2110.04143v1 https://arxiv.org/abs/2110.04143v1 dan pdf downloaden https://arxiv.org/ftp/arxiv/papers/2110/2110.04143.pdf en dan op pagina van 399 tot 402
imec.availabilityPublished - imec


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