Potential of Deep Learning in Quantitative Magnetic Resonance Imaging for Personalized Radiotherapy

Gurney-Champion, Oliver J.; Landry, Guillaume; Redalen, Kathrine Roe; Thorwarth, Daniela

dc.contributor.author	Thorwarth, Daniela
dc.date.accessioned	2023-03-20T10:47:07Z
dc.date.available	2023-03-20T10:47:07Z
dc.date.issued	2022
dc.identifier.issn	1053-4296
dc.identifier.uri	http://hdl.handle.net/10900/138258
dc.language.iso	en	de_DE
dc.publisher	W B Saunders Co - Elsevier Inc	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.semradonc.2022.06.007	de_DE
dc.subject.ddc	610	de_DE
dc.title	Potential of Deep Learning in Quantitative Magnetic Resonance Imaging for Personalized Radiotherapy	de_DE
dc.type	Article	de_DE
utue.quellen.id	20230202000000_01038
utue.publikation.seiten	377-388	de_DE
utue.personen.roh	Gurney-Champion, Oliver J.
utue.personen.roh	Landry, Guillaume
utue.personen.roh	Redalen, Kathrine Roe
utue.personen.roh	Thorwarth, Daniela
dcterms.isPartOf.ZSTitelID	Seminars in Radiation Oncology	de_DE
dcterms.isPartOf.ZS-Issue	4	de_DE
dcterms.isPartOf.ZS-Volume	32	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE