Publication:

SwinIR-based Dual-Domain Reconstruction for Sparse-View Computed Tomography

Date

2025-AUG 18
Journal article
https://doi.org/10.1007/s10921-025-01244-3
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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0003-4225-2487
cris.virtual.orcid0000-0002-4331-6545
cris.virtualsource.department33ee4c5e-70fd-4640-9a4b-6dff3f3210d0
cris.virtualsource.department69ce70c7-c588-4d55-8d1a-c64a8e58dac7
cris.virtualsource.orcid33ee4c5e-70fd-4640-9a4b-6dff3f3210d0
cris.virtualsource.orcid69ce70c7-c588-4d55-8d1a-c64a8e58dac7
dc.contributor.authorvan der Rauwelaert, Jonas
dc.contributor.authorBossuyt, Caroline
dc.contributor.authorVerleden, Stijn E.
dc.contributor.authorSijbers, Jan
dc.contributor.imecauthorBossuyt, Caroline
dc.contributor.imecauthorSijbers, Jan
dc.contributor.orcidimecBossuyt, Caroline::0000-0002-4331-6545
dc.contributor.orcidimecSijbers, Jan::0000-0003-4225-2487
dc.date.accessioned2025-08-26T03:56:35Z
dc.date.available2025-08-26T03:56:35Z
dc.date.issued2025-AUG 18
dc.description.wosFundingTextThe authors have received funding from Research Foundation Flanders (G090020N), the Flemish Government under Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen, and from the University of Antwerp (50954).
dc.identifier.doi10.1007/s10921-025-01244-3
dc.identifier.issn0195-9298
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/46110
dc.publisherSPRINGER/PLENUM PUBLISHERS
dc.source.beginpage1
dc.source.issue3
dc.source.journalJOURNAL OF NONDESTRUCTIVE EVALUATION
dc.source.numberofpages17
dc.source.volume44
dc.title

SwinIR-based Dual-Domain Reconstruction for Sparse-View Computed Tomography

dc.typeJournal article
dspace.entity.typePublication
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