Novel Deep Learning Denoising Enhances Image Quality and Lowers Radiation Exposure in Interventional Bronchial Artery Embolization Cone Beam CT

DSpace Repositorium (Manakin basiert)

Zur Kurzanzeige

dc.contributor.author Dehdab, Reza
dc.contributor.author Stenzl, Benedikt
dc.contributor.author Ghibes, Patrick
dc.contributor.author Afat, Saif
dc.contributor.author Artzner, Christoph
dc.contributor.author Brendlin, Andreas Stefan
dc.contributor.author Mück, Jonas
dc.contributor.author Grözinger, Gerd Christian
dc.date.accessioned 2025-01-20T11:24:00Z
dc.date.available 2025-01-20T11:24:00Z
dc.date.issued 2024
dc.identifier.issn 1076-6332
dc.identifier.uri http://hdl.handle.net/10900/160286
dc.language.iso en de_DE
dc.publisher New York : Elsevier Science Inc de_DE
dc.relation.uri http://dx.doi.org/10.1016/j.acra.2023.11.003 de_DE
dc.subject.ddc 610 de_DE
dc.title Novel Deep Learning Denoising Enhances Image Quality and Lowers Radiation Exposure in Interventional Bronchial Artery Embolization Cone Beam CT de_DE
dc.type Article de_DE
utue.quellen.id 20241001000000_01619
utue.publikation.seiten 2144-2155 de_DE
utue.personen.roh Brendlin, Andreas S.
utue.personen.roh Dehdab, Reza
utue.personen.roh Stenzl, Benedikt
utue.personen.roh Mueck, Jonas
utue.personen.roh Ghibes, Patrick
utue.personen.roh Groezinger, Gerd
utue.personen.roh Kim, Jonghyo
utue.personen.roh Afat, Saif
utue.personen.roh Artzner, Christoph
dcterms.isPartOf.ZSTitelID Academic Radiology de_DE
dcterms.isPartOf.ZS-Issue 5 de_DE
dcterms.isPartOf.ZS-Volume 31 de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


Dateien zu dieser Ressource

Dateien Größe Format Anzeige

Zu diesem Dokument gibt es keine Dateien.

Das Dokument erscheint in:

Zur Kurzanzeige