Deep-learning denoising minimizes radiation exposure in neck CT beyond the limits of conventional reconstruction

Plajer, David; Hahn, Marlene; Chaika, Marianna; Mader, Markus; Mueck, Jonas; Nikolaou, Konstantin; Afat, Saif; Brendlin, Andreas S.

dc.contributor.author	Hahn, Marlene
dc.contributor.author	Mader, Markus
dc.contributor.author	Nikolaou, Konstantin
dc.contributor.author	Afat, Saif
dc.contributor.author	Plajer, David Robin
dc.contributor.author	Chaika, Maryanna
dc.contributor.author	Mück, Jonas
dc.contributor.author	Brendlin, Andreas Stefan
dc.date.accessioned	2024-11-26T09:30:01Z
dc.date.available	2024-11-26T09:30:01Z
dc.date.issued	2024
dc.identifier.issn	0720-048X
dc.identifier.uri	http://hdl.handle.net/10900/159106
dc.language.iso	en	de_DE
dc.publisher	Clare : Elsevier Ireland Ltd	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.ejrad.2024.111523	de_DE
dc.subject.ddc	610	de_DE
dc.title	Deep-learning denoising minimizes radiation exposure in neck CT beyond the limits of conventional reconstruction	de_DE
dc.type	Article	de_DE
utue.quellen.id	20241001000000_00741
utue.personen.roh	Plajer, David
utue.personen.roh	Hahn, Marlene
utue.personen.roh	Chaika, Marianna
utue.personen.roh	Mader, Markus
utue.personen.roh	Mueck, Jonas
utue.personen.roh	Nikolaou, Konstantin
utue.personen.roh	Afat, Saif
utue.personen.roh	Brendlin, Andreas S.
dcterms.isPartOf.ZSTitelID	European Journal of Radiology	de_DE
dcterms.isPartOf.ZS-Issue	Article 111523	de_DE
dcterms.isPartOf.ZS-Volume	178	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE