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

Gassenmaier, Sebastian; Kuestner, Thomas; Nickel, Dominik; Herrmann, Judith; Hoffmann, Ruediger; Almansour, Haidara; Afat, Saif; Nikolaou, Konstantin; Othman, Ahmed E.

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	Article	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