| dc.contributor.author |
Dehdab, Reza |
|
| dc.contributor.author |
Streich, Sebastian |
|
| dc.contributor.author |
Ladurner, Ruth |
|
| dc.contributor.author |
Stenzl, Benedikt |
|
| dc.contributor.author |
Mueck, Jonas |
|
| dc.contributor.author |
Gassenmaier, Sebastian |
|
| dc.contributor.author |
Krumm, Patrick |
|
| dc.contributor.author |
Werner, Sebastian |
|
| dc.contributor.author |
Herrmann, Judith |
|
| dc.contributor.author |
Nikolaou, Konstantin |
|
| dc.contributor.author |
Afat, Saif |
|
| dc.contributor.author |
Brendel, Jan Michael |
|
| dc.contributor.author |
Brendlin, Andreas Stefan |
|
| dc.date.accessioned |
2025-09-16T08:18:02Z |
|
| dc.date.available |
2025-09-16T08:18:02Z |
|
| dc.date.issued |
2025 |
|
| dc.identifier.issn |
1076-6332 |
|
| dc.identifier.uri |
http://hdl.handle.net/10900/170281 |
|
| 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.2024.12.052 |
de_DE |
| dc.subject.ddc |
610 |
de_DE |
| dc.title |
Evaluation of a Deep Learning Denoising Algorithm for Dose Reduction in Whole-Body Photon-Counting CT Imaging: A Cadaveric Study |
de_DE |
| dc.type |
Article |
de_DE |
| utue.quellen.id |
20250630000000_00301 |
|
| utue.publikation.seiten |
3519-3531 |
de_DE |
| utue.personen.roh |
Dehdab, Reza |
|
| utue.personen.roh |
Brendel, Jan M. |
|
| utue.personen.roh |
Streich, Sebastian |
|
| utue.personen.roh |
Ladurner, Ruth |
|
| utue.personen.roh |
Stenzl, Benedikt |
|
| utue.personen.roh |
Mueck, Jonas |
|
| utue.personen.roh |
Gassenmaier, Sebastian |
|
| utue.personen.roh |
Krumm, Patrick |
|
| utue.personen.roh |
Werner, Sebastian |
|
| utue.personen.roh |
Herrmann, Judith |
|
| utue.personen.roh |
Nikolaou, Konstantin |
|
| utue.personen.roh |
Afat, Saif |
|
| utue.personen.roh |
Brendlin, Andreas |
|
| dcterms.isPartOf.ZSTitelID |
Academic Radiology |
de_DE |
| dcterms.isPartOf.ZS-Issue |
6 |
de_DE |
| dcterms.isPartOf.ZS-Volume |
32 |
de_DE |
| utue.fakultaet |
04 Medizinische Fakultät |
de_DE |