Ultrafast Brain MRI at 3 T for MS: Evaluation of a 51-Second Deep Learning-Enhanced T2-EPI-FLAIR Sequence

dc.contributor.author	Schuhholz, Martin
dc.contributor.author	Ruff, Christer
dc.contributor.author	Kowarik, Markus
dc.contributor.author	Bender, Benjamin
dc.contributor.author	Bürkle, Eva Felicitas
dc.date.accessioned	2025-01-27T11:08:36Z
dc.date.available	2025-01-27T11:08:36Z
dc.date.issued	2024
dc.identifier.issn	2075-4418
dc.identifier.uri	http://hdl.handle.net/10900/161209
dc.language.iso	en	de_DE
dc.publisher	Basel : Mdpi	de_DE
dc.relation.uri	http://dx.doi.org/10.3390/diagnostics14171841	de_DE
dc.subject.ddc	610	de_DE
dc.title	Ultrafast Brain MRI at 3 T for MS: Evaluation of a 51-Second Deep Learning-Enhanced T2-EPI-FLAIR Sequence	de_DE
dc.type	Article	de_DE
utue.quellen.id	20241001000000_00208
utue.personen.roh	Schuhholz, Martin
utue.personen.roh	Ruff, Christer
utue.personen.roh	Buerkle, Eva
utue.personen.roh	Feiweier, Thorsten
utue.personen.roh	Clifford, Bryan
utue.personen.roh	Kowarik, Markus
utue.personen.roh	Bender, Benjamin
dcterms.isPartOf.ZSTitelID	Diagnostics	de_DE
dcterms.isPartOf.ZS-Issue	Article 1841	de_DE
dcterms.isPartOf.ZS-Volume	14 (17)	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE

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