dc.contributor.author |
Zaiss, Moritz |
|
dc.date.accessioned |
2023-01-16T15:14:31Z |
|
dc.date.available |
2023-01-16T15:14:31Z |
|
dc.date.issued |
2022 |
|
dc.identifier.issn |
0740-3194 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/135415 |
|
dc.language.iso |
en |
en |
dc.publisher |
Wiley |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1002/mrm.29173 |
|
dc.subject.ddc |
610 |
de_DE |
dc.title |
An end-to-end AI-based framework for automated discovery of rapid CEST/MT MRI acquisition protocols and molecular parameter quantification (AutoCEST) |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20220728000000_02305 |
|
utue.publikation.seiten |
2792-2810 |
de_DE |
utue.personen.roh |
Perlman, Or |
|
utue.personen.roh |
Zhu, Bo |
|
utue.personen.roh |
Zaiss, Moritz |
|
utue.personen.roh |
Rosen, Matthew S. |
|
utue.personen.roh |
Farrar, Christian T. |
|
dcterms.isPartOf.ZSTitelID |
Magnetic Resonance in Medicine |
de_DE |
dcterms.isPartOf.ZS-Issue |
6 |
de_DE |
dcterms.isPartOf.ZS-Volume |
87 |
de_DE |
utue.fakultaet |
Sonstige |
|