Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 T

Olthof, Susann-Cathrin; Weiland, Elisabeth; Benkert, Thomas; Wessling, Daniel; Leyhr, Daniel; Afat, Saif; Nikolaou, Konstantin; Preibsch, Heike

dc.contributor.author	Olthof, Susann-Cathrin
dc.contributor.author	Leyhr, Daniel
dc.contributor.author	Afat, Saif
dc.contributor.author	Nikolaou, Konstantin
dc.contributor.author	Preibsch, Heike
dc.date.accessioned	2024-11-19T10:53:12Z
dc.date.available	2024-11-19T10:53:12Z
dc.date.issued	2024
dc.identifier.issn	2075-4418
dc.identifier.uri	http://hdl.handle.net/10900/158976
dc.language.iso	en	de_DE
dc.publisher	Basel : Mdpi	de_DE
dc.relation.uri	http://dx.doi.org/10.3390/diagnostics14161742	de_DE
dc.subject.ddc	610	de_DE
dc.title	Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 T	de_DE
dc.type	Article	de_DE
utue.quellen.id	20241001000000_00560
utue.personen.roh	Olthof, Susann-Cathrin
utue.personen.roh	Weiland, Elisabeth
utue.personen.roh	Benkert, Thomas
utue.personen.roh	Wessling, Daniel
utue.personen.roh	Leyhr, Daniel
utue.personen.roh	Afat, Saif
utue.personen.roh	Nikolaou, Konstantin
utue.personen.roh	Preibsch, Heike
dcterms.isPartOf.ZSTitelID	Diagnostics	de_DE
dcterms.isPartOf.ZS-Issue	Article 1742	de_DE
dcterms.isPartOf.ZS-Volume	14 (16)	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE
utue.fakultaet	06 Wirtschafts- und sozialwissenschaftliche Fakultät	de_DE