dc.contributor.author |
Küstner, Thomas |
|
dc.date.accessioned |
2024-11-15T10:22:19Z |
|
dc.date.available |
2024-11-15T10:22:19Z |
|
dc.date.issued |
2021 |
|
dc.identifier.issn |
0740-3194 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/158938 |
|
dc.language.iso |
de |
de_DE |
dc.publisher |
New York, NY : Wiley-Liss |
de_DE |
dc.relation.uri |
https://dx.doi.org/10.1002/mrm.28911 |
de_DE |
dc.subject.ddc |
610 |
de_DE |
dc.title |
Deep-learning based super-resolution for 3D isotropic coronary MR angiography in less than a minute |
de_DE |
dc.type |
Article |
de_DE |
utue.publikation.seiten |
2827-2852 |
de_DE |
utue.personen.roh |
Küstner, Thomas |
|
utue.personen.roh |
Munoz, Camila |
|
utue.personen.roh |
Psenicny, Alina |
|
utue.personen.roh |
Bustin, Aurelien |
|
utue.personen.roh |
Fuin, Nicolo |
|
utue.personen.roh |
Qi, Haikun |
|
utue.personen.roh |
Neji, Radhouene |
|
utue.personen.roh |
Kunz, Karl |
|
utue.personen.roh |
Hajhosseiny, Reza |
|
utue.personen.roh |
Prieto, Claudia |
|
utue.personen.roh |
Botnar, René |
|
dcterms.isPartOf.ZSTitelID |
Magnetic resonance in medicine |
de_DE |
dcterms.isPartOf.ZS-Issue |
5 |
de_DE |
dcterms.isPartOf.ZS-Volume |
86 |
de_DE |
utue.fakultaet |
04 Medizinische Fakultät |
de_DE |