Uncertainty estimation for reliable neural network-based radiotherapy dose modelling using Monte Carlo dropout, mean variance estimation and deep ensemble

dc.contributor.author	Schneider, Moritz
dc.contributor.author	Eberhardt, Tabea
dc.contributor.author	Gani, Cihan
dc.contributor.author	Fischer, Paul
dc.contributor.author	Baumgartner, Christian F.
dc.date.accessioned	2026-09-10T10:47:23Z
dc.date.available	2026-09-10T10:47:23Z
dc.date.issued	2026-09
dc.identifier.issn	2405-6316
dc.identifier.uri	http://hdl.handle.net/10900/183232
dc.language.iso	en	de_DE
dc.publisher	Elsevier	de_DE
dc.relation.uri	https://doi.org/10.1016/j.phro.2026.101072	de_DE
dc.subject.ddc	004	de_DE
dc.title	Uncertainty estimation for reliable neural network-based radiotherapy dose modelling using Monte Carlo dropout, mean variance estimation and deep ensemble	de_DE
dc.type	Article	de_DE
utue.personen.roh	Schneider, Moritz
utue.personen.roh	Eberhardt, Tabea
utue.personen.roh	Gani, Cihan
utue.personen.roh	Fischer, Paul
utue.personen.roh	Baumgartner, Christian F.
dcterms.isPartOf.ZSTitelID	Physics and Imaging in Radiation Oncology	de_DE
dcterms.isPartOf.ZS-Volume	Volume 41	de_DE