Diagnostic Confidence and Feasibility of a Deep Learning Accelerated HASTE Sequence of the Abdomen in a Single Breath-Hold

Herrmann, Judith; Gassenmaier, Sebastian; Nickel, Dominik; Arberet, Simon; Afat, Saif; Lingg, Andreas; Kundel, Matthias; Othman, Ahmed E.

dc.contributor.author	Herrmann, Judith
dc.contributor.author	Gassenmaier, Sebastian
dc.contributor.author	Afat, Saif
dc.contributor.author	Lingg, Andreas
dc.contributor.author	Kundel, Matthias
dc.contributor.author	Othman, Ahmed
dc.date.accessioned	2021-12-27T09:21:00Z
dc.date.available	2021-12-27T09:21:00Z
dc.date.issued	2021
dc.identifier.issn	1536-0210
dc.identifier.uri	http://hdl.handle.net/10900/122162
dc.language.iso	en	de_DE
dc.publisher	Lippincott Williams & Wilkins	de_DE
dc.relation.uri	http://dx.doi.org/10.1097/RLI.0000000000000743	de_DE
dc.subject.ddc	610	de_DE
dc.title	Diagnostic Confidence and Feasibility of a Deep Learning Accelerated HASTE Sequence of the Abdomen in a Single Breath-Hold	de_DE
dc.type	Article	de_DE
utue.quellen.id	20210824232002_01432
utue.publikation.seiten	313-319	de_DE
utue.personen.roh	Herrmann, Judith
utue.personen.roh	Gassenmaier, Sebastian
utue.personen.roh	Nickel, Dominik
utue.personen.roh	Arberet, Simon
utue.personen.roh	Afat, Saif
utue.personen.roh	Lingg, Andreas
utue.personen.roh	Kundel, Matthias
utue.personen.roh	Othman, Ahmed E.
dcterms.isPartOf.ZSTitelID	Investigative Radiology	de_DE
dcterms.isPartOf.ZS-Issue	5	de_DE
dcterms.isPartOf.ZS-Volume	56	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE