High-resolution neural network-driven mapping of multiple diffusion metrics leveraging asymmetries in the balanced steady-state free precession frequency profile

Birk, Florian; Glang, Felix; Loktyushin, Alexander; Birkl, Christoph; Ehses, Philipp; Scheffler, Klaus; Heule, Rahel

dc.contributor.author	Birk, Florian
dc.contributor.author	Glang, Felix
dc.contributor.author	Loktyushin, Alexander
dc.contributor.author	Scheffler, Klaus
dc.contributor.author	Heule, Rahel
dc.date.accessioned	2023-02-14T11:24:32Z
dc.date.available	2023-02-14T11:24:32Z
dc.date.issued	2022
dc.identifier.issn	0952-3480
dc.identifier.uri	http://hdl.handle.net/10900/136537
dc.language.iso	en	de_DE
dc.publisher	Wiley	de_DE
dc.relation.uri	http://dx.doi.org/10.1002/nbm.4669	de_DE
dc.subject.ddc	530	de_DE
dc.subject.ddc	540	de_DE
dc.subject.ddc	570	de_DE
dc.subject.ddc	610	de_DE
dc.title	High-resolution neural network-driven mapping of multiple diffusion metrics leveraging asymmetries in the balanced steady-state free precession frequency profile	de_DE
dc.type	Article	de_DE
utue.quellen.id	20220728000000_02709
utue.personen.roh	Birk, Florian
utue.personen.roh	Glang, Felix
utue.personen.roh	Loktyushin, Alexander
utue.personen.roh	Birkl, Christoph
utue.personen.roh	Ehses, Philipp
utue.personen.roh	Scheffler, Klaus
utue.personen.roh	Heule, Rahel
dcterms.isPartOf.ZSTitelID	Nmr in Biomedicine	de_DE
dcterms.isPartOf.ZS-Issue	6	de_DE
dcterms.isPartOf.ZS-Volume	35	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE
utue.fakultaet	08 Zentrale, interfakultäre und fakultätsübergreifende Einrichtungen	de_DE