| 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 | 
 |