dc.contributor.author |
Jacoby, Johann |
|
dc.contributor.author |
Dehdab, Reza |
|
dc.contributor.author |
Ursprung, Stephan |
|
dc.contributor.author |
Fritz, Victor |
|
dc.contributor.author |
Werner, Sebastian |
|
dc.contributor.author |
Herrmann, Judith |
|
dc.contributor.author |
Gassenmaier, Sebastian |
|
dc.contributor.author |
Schick, Fritz |
|
dc.contributor.author |
Nikolaou, Konstantin |
|
dc.contributor.author |
Afat, Saif |
|
dc.contributor.author |
Almansour, Haidara |
|
dc.contributor.author |
Brendel, Jan Michael |
|
dc.contributor.author |
Brendlin, Andreas Stefan |
|
dc.date.accessioned |
2025-05-05T06:48:00Z |
|
dc.date.available |
2025-05-05T06:48:00Z |
|
dc.date.issued |
2024 |
|
dc.identifier.issn |
1076-6332 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/165018 |
|
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.2024.05.044 |
de_DE |
dc.subject.ddc |
610 |
de_DE |
dc.title |
Prospective Deployment of Deep Learning Reconstruction Facilitates Highly Accelerated Upper Abdominal MRI |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20250203000000_00369 |
|
utue.publikation.seiten |
4965-4973 |
de_DE |
utue.personen.roh |
Brendel, Jan M. |
|
utue.personen.roh |
Jacoby, Johann |
|
utue.personen.roh |
Dehdab, Reza |
|
utue.personen.roh |
Ursprung, Stephan |
|
utue.personen.roh |
Fritz, Victor |
|
utue.personen.roh |
Werner, Sebastian |
|
utue.personen.roh |
Herrmann, Judith |
|
utue.personen.roh |
Brendlin, Andreas S. |
|
utue.personen.roh |
Gassenmaier, Sebastian |
|
utue.personen.roh |
Schick, Fritz |
|
utue.personen.roh |
Nickel, Dominik |
|
utue.personen.roh |
Nikolaou, Konstantin |
|
utue.personen.roh |
Afat, Saif |
|
utue.personen.roh |
Almansour, Haidara |
|
dcterms.isPartOf.ZSTitelID |
Academic Radiology |
de_DE |
dcterms.isPartOf.ZS-Issue |
12 |
de_DE |
dcterms.isPartOf.ZS-Volume |
31 |
de_DE |
utue.fakultaet |
04 Medizinische Fakultät |
de_DE |