Deep Learning Applications in Magnetic Resonance Imaging: Has the Future Become Present?

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dc.contributor.author Gassenmaier, Sebastian
dc.contributor.author Herrmann, Judith
dc.contributor.author Afat, Saif
dc.contributor.author Nikolaou, Konstantin
dc.contributor.author Küstner, Thomas
dc.contributor.author Hoffmann, Rüdiger
dc.contributor.author Al Mansour, Haidara
dc.contributor.author Othman, Ahmed
dc.date.accessioned 2022-05-24T08:15:53Z
dc.date.available 2022-05-24T08:15:53Z
dc.date.issued 2021
dc.identifier.issn 2075-4418
dc.identifier.uri http://hdl.handle.net/10900/127364
dc.language.iso en de_DE
dc.publisher Basel de_DE
dc.relation.uri http://dx.doi.org/10.3390/diagnostics11122181 de_DE
dc.subject.ddc 610 de_DE
dc.title Deep Learning Applications in Magnetic Resonance Imaging: Has the Future Become Present? de_DE
dc.type Artikel de_DE
utue.quellen.id 20220404000000_00271
utue.personen.roh Gassenmaier, Sebastian
utue.personen.roh Kuestner, Thomas
utue.personen.roh Nickel, Dominik
utue.personen.roh Herrmann, Judith
utue.personen.roh Hoffmann, Ruediger
utue.personen.roh Almansour, Haidara
utue.personen.roh Afat, Saif
utue.personen.roh Nikolaou, Konstantin
utue.personen.roh Othman, Ahmed E.
dcterms.isPartOf.ZSTitelID Diagnostics de_DE
dcterms.isPartOf.ZS-Issue Article 2181 de_DE
dcterms.isPartOf.ZS-Volume 11 (12) de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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