Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity

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dc.contributor.author Almansour, Haidara
dc.contributor.author Herrmann, Judith
dc.contributor.author Gassenmaier, Sebastian
dc.contributor.author Lingg, Andreas
dc.contributor.author Afat, Saif
dc.contributor.author Othman, Ahmed
dc.date.accessioned 2023-07-24T05:49:49Z
dc.date.available 2023-07-24T05:49:49Z
dc.date.issued 2023
dc.identifier.issn 1076-6332
dc.identifier.uri http://hdl.handle.net/10900/143580
dc.language.iso en de_DE
dc.publisher Elsevier Science Inc de_DE
dc.relation.uri http://dx.doi.org/10.1016/j.acra.2022.06.003 de_DE
dc.subject.ddc 610 de_DE
dc.title Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity de_DE
dc.type Article de_DE
utue.quellen.id 20230619000000_00414
utue.publikation.seiten 863-872 de_DE
utue.personen.roh Almansour, Haidara
utue.personen.roh Herrmann, Judith
utue.personen.roh Gassenmaier, Sebastian
utue.personen.roh Lingg, Andreas
utue.personen.roh Nickel, Marcel Dominik
utue.personen.roh Kannengiesser, Stephan
utue.personen.roh Arberet, Simon
utue.personen.roh Othman, Ahmed E.
utue.personen.roh Afat, Saif
dcterms.isPartOf.ZSTitelID Academic Radiology de_DE
dcterms.isPartOf.ZS-Issue 5 de_DE
dcterms.isPartOf.ZS-Volume 30 de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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