An end-to-end AI-based framework for automated discovery of rapid CEST/MT MRI acquisition protocols and molecular parameter quantification (AutoCEST)

DSpace Repository

Show simple item record

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


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record