| dc.contributor.author |
Helo, Majd |
|
| dc.contributor.author |
Küstner, Thomas |
|
| dc.date.accessioned |
2026-10-27T11:54:09Z |
|
| dc.date.available |
2026-10-27T11:54:09Z |
|
| dc.date.issued |
2026 |
|
| dc.identifier.issn |
0740-3194 |
|
| dc.identifier.uri |
http://hdl.handle.net/10900/185038 |
|
| dc.language.iso |
en |
de_DE |
| dc.publisher |
New York, NY : Wiley-Liss |
de_DE |
| dc.relation.uri |
http://dx.doi.org/10.1002/mrm.70057 |
de_DE |
| dc.subject.ddc |
610 |
de_DE |
| dc.title |
Liver fat quantification at 0.55 T enabled by locally low-rank enforced deep learning reconstruction |
de_DE |
| dc.type |
Article |
de_DE |
| utue.quellen.id |
20260422000000_01768 |
|
| utue.publikation.seiten |
569-584 |
de_DE |
| utue.personen.roh |
Helo, Majd |
|
| utue.personen.roh |
Nickel, Dominik |
|
| utue.personen.roh |
Kannengiesser, Stephan |
|
| utue.personen.roh |
Kuestner, Thomas |
|
| dcterms.isPartOf.ZSTitelID |
Magnetic Resonance in Medicine |
de_DE |
| dcterms.isPartOf.ZS-Issue |
1 |
de_DE |
| dcterms.isPartOf.ZS-Volume |
95 |
de_DE |
| utue.fakultaet |
04 Medizinische Fakultät |
de_DE |