Analysis of a Deep Learning-Based Superresolution Algorithm Tailored to Partial Fourier Gradient Echo Sequences of the Abdomen at 1.5 T Reduction of Breath-Hold Time and Improvement of Image Quality

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dc.contributor.author Afat, Saif
dc.contributor.author Wessling, Daniel
dc.contributor.author Afat, Carmen
dc.contributor.author Herrmann, Judith
dc.contributor.author Gassenmaier, Sebastian
dc.contributor.author Othman, Ahmed
dc.date.accessioned 2023-12-12T09:10:16Z
dc.date.available 2023-12-12T09:10:16Z
dc.date.issued 2022
dc.identifier.issn 0020-9996
dc.identifier.uri http://hdl.handle.net/10900/148644
dc.language.iso en de_DE
dc.publisher Philadelphia : Lippincott Williams & Wilkins de_DE
dc.relation.uri http://dx.doi.org/10.1097/RLI.0000000000000825 de_DE
dc.subject.ddc 610 de_DE
dc.title Analysis of a Deep Learning-Based Superresolution Algorithm Tailored to Partial Fourier Gradient Echo Sequences of the Abdomen at 1.5 T Reduction of Breath-Hold Time and Improvement of Image Quality de_DE
dc.type Article de_DE
utue.quellen.id 20230925000000_04686
utue.publikation.seiten 157-162 de_DE
utue.personen.roh Afat, Saif
utue.personen.roh Wessling, Daniel
utue.personen.roh Afat, Carmen
utue.personen.roh Nickel, Dominik
utue.personen.roh Arberet, Simon
utue.personen.roh Herrmann, Judith
utue.personen.roh Othman, Ahmed E.
utue.personen.roh Gassenmaier, Sebastian
dcterms.isPartOf.ZSTitelID Investigative Radiology de_DE
dcterms.isPartOf.ZS-Issue 3 de_DE
dcterms.isPartOf.ZS-Volume 57 de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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