Prospective Deployment of Deep Learning Reconstruction Facilitates Highly Accelerated Upper Abdominal MRI

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dc.contributor.author Jacoby, Johann
dc.contributor.author Dehdab, Reza
dc.contributor.author Ursprung, Stephan
dc.contributor.author Fritz, Victor
dc.contributor.author Werner, Sebastian
dc.contributor.author Herrmann, Judith
dc.contributor.author Gassenmaier, Sebastian
dc.contributor.author Schick, Fritz
dc.contributor.author Nikolaou, Konstantin
dc.contributor.author Afat, Saif
dc.contributor.author Almansour, Haidara
dc.contributor.author Brendel, Jan Michael
dc.contributor.author Brendlin, Andreas Stefan
dc.date.accessioned 2025-05-05T06:48:00Z
dc.date.available 2025-05-05T06:48:00Z
dc.date.issued 2024
dc.identifier.issn 1076-6332
dc.identifier.uri http://hdl.handle.net/10900/165018
dc.language.iso en de_DE
dc.publisher New York : Elsevier Science Inc de_DE
dc.relation.uri http://dx.doi.org/10.1016/j.acra.2024.05.044 de_DE
dc.subject.ddc 610 de_DE
dc.title Prospective Deployment of Deep Learning Reconstruction Facilitates Highly Accelerated Upper Abdominal MRI de_DE
dc.type Article de_DE
utue.quellen.id 20250203000000_00369
utue.publikation.seiten 4965-4973 de_DE
utue.personen.roh Brendel, Jan M.
utue.personen.roh Jacoby, Johann
utue.personen.roh Dehdab, Reza
utue.personen.roh Ursprung, Stephan
utue.personen.roh Fritz, Victor
utue.personen.roh Werner, Sebastian
utue.personen.roh Herrmann, Judith
utue.personen.roh Brendlin, Andreas S.
utue.personen.roh Gassenmaier, Sebastian
utue.personen.roh Schick, Fritz
utue.personen.roh Nickel, Dominik
utue.personen.roh Nikolaou, Konstantin
utue.personen.roh Afat, Saif
utue.personen.roh Almansour, Haidara
dcterms.isPartOf.ZSTitelID Academic Radiology de_DE
dcterms.isPartOf.ZS-Issue 12 de_DE
dcterms.isPartOf.ZS-Volume 31 de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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