Development and comprehensive clinical validation of a deep neural network for radiation dose modelling to enhance magnetic resonance imaging guided radiotherapy

dc.contributor.author	Schneider, Moritz
dc.contributor.author	Gutwein, Simon
dc.contributor.author	Mönnich, David
dc.contributor.author	Gani, Cihan
dc.contributor.author	Fischer, Paul
dc.contributor.author	Baumgartner, Christian F.
dc.contributor.author	Thorwarth, Daniela
dc.date.accessioned	2025-02-12T12:23:12Z
dc.date.available	2025-02-12T12:23:12Z
dc.date.issued	2025-02-07
dc.identifier.issn	2405-6316
dc.identifier.uri	http://hdl.handle.net/10900/161955
dc.language.iso	en	de_DE
dc.publisher	Elsevier	de_DE
dc.relation.uri	https://doi.org/10.1016/j.phro.2025.100723	de_DE
dc.subject.ddc	004	de_DE
dc.title	Development and comprehensive clinical validation of a deep neural network for radiation dose modelling to enhance magnetic resonance imaging guided radiotherapy	de_DE
dc.type	Article	de_DE
utue.personen.roh	Schneider, Moritz
utue.personen.roh	Gutwein, Simon
utue.personen.roh	Mönnich, David
utue.personen.roh	Gani, Cihan
utue.personen.roh	Fischer, Paul
utue.personen.roh	Baumgartner, Christian F.
utue.personen.roh	Thorwarth, Daniela
dcterms.isPartOf.ZSTitelID	Physics and Imaging in Radiation Oncology	de_DE