Deep Learning-Based Superresolution Reconstruction for Upper Abdominal Magnetic Resonance Imaging An Analysis of Image Quality, Diagnostic Confidence, and Lesion Conspicuity

Almansour, Haidara; Gassenmaier, Sebastian; Nickel, Dominik; Kannengiesser, Stephan; Afat, Saif; Weiss, Jakob; Hoffmann, Rudiger; Othman, Ahmed E.

dc.contributor.author	Al Mansour, Haidara
dc.contributor.author	Gassenmaier, Sebastian
dc.contributor.author	Afat, Saif
dc.contributor.author	Hoffmann, Rüdiger
dc.contributor.author	Othman, Ahmed
dc.date.accessioned	2021-10-28T12:38:59Z
dc.date.available	2021-10-28T12:38:59Z
dc.date.issued	2021
dc.identifier.issn	1536-0210
dc.identifier.uri	http://hdl.handle.net/10900/120214
dc.language.iso	en	de_DE
dc.publisher	Lippincott Williams & Wilkins	de_DE
dc.relation.uri	http://dx.doi.org/10.1097/RLI.0000000000000769	de_DE
dc.subject.ddc	610	de_DE
dc.title	Deep Learning-Based Superresolution Reconstruction for Upper Abdominal Magnetic Resonance Imaging An Analysis of Image Quality, Diagnostic Confidence, and Lesion Conspicuity	de_DE
dc.type	Article	de_DE
utue.quellen.id	20210824232002_00138
utue.publikation.seiten	509-516	de_DE
utue.personen.roh	Almansour, Haidara
utue.personen.roh	Gassenmaier, Sebastian
utue.personen.roh	Nickel, Dominik
utue.personen.roh	Kannengiesser, Stephan
utue.personen.roh	Afat, Saif
utue.personen.roh	Weiss, Jakob
utue.personen.roh	Hoffmann, Rudiger
utue.personen.roh	Othman, Ahmed E.
dcterms.isPartOf.ZSTitelID	Investigative Radiology	de_DE
dcterms.isPartOf.ZS-Issue	8	de_DE
dcterms.isPartOf.ZS-Volume	56	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE