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Mixed-scale dense convolutional neural network based improvement of glass fiber-reinforced composite CT images

dc.contributor.authorElberfeld, Tim
dc.contributor.authorBazrafkan, Shabab
dc.contributor.authorDe Beenhouwer, Jan
dc.contributor.authorSijbers, Jan
dc.date.accessioned2021-10-27T09:02:44Z
dc.date.available2021-10-27T09:02:44Z
dc.date.issued2019
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/32932
dc.sourceIIOimport
dc.titleMixed-scale dense convolutional neural network based improvement of glass fiber-reinforced composite CT images
dc.typeMeeting abstract
dc.contributor.imecauthorElberfeld, Tim
dc.contributor.imecauthorBazrafkan, Shabab
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.conference4th International Conference on Tomography of Materials & Structures
dc.source.conferencedate22/07/2019
dc.source.conferencelocationCairns Australia
dc.identifier.urlhttps://visielab.uantwerpen.be/publications/mixed-scale-dense-convolutional-neural-network-based-improvement-glass-fiber-reinforced
imec.availabilityPublished - imec


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