dc.contributor.author | Almansour, Haidara | |
dc.contributor.author | Herrmann, Judith | |
dc.contributor.author | Gassenmaier, Sebastian | |
dc.contributor.author | Lingg, Andreas | |
dc.contributor.author | Afat, Saif | |
dc.contributor.author | Othman, Ahmed | |
dc.date.accessioned | 2023-07-24T05:49:49Z | |
dc.date.available | 2023-07-24T05:49:49Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 1076-6332 | |
dc.identifier.uri | http://hdl.handle.net/10900/143580 | |
dc.language.iso | en | de_DE |
dc.publisher | Elsevier Science Inc | de_DE |
dc.relation.uri | http://dx.doi.org/10.1016/j.acra.2022.06.003 | de_DE |
dc.subject.ddc | 610 | de_DE |
dc.title | Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity | de_DE |
dc.type | Article | de_DE |
utue.quellen.id | 20230619000000_00414 | |
utue.publikation.seiten | 863-872 | de_DE |
utue.personen.roh | Almansour, Haidara | |
utue.personen.roh | Herrmann, Judith | |
utue.personen.roh | Gassenmaier, Sebastian | |
utue.personen.roh | Lingg, Andreas | |
utue.personen.roh | Nickel, Marcel Dominik | |
utue.personen.roh | Kannengiesser, Stephan | |
utue.personen.roh | Arberet, Simon | |
utue.personen.roh | Othman, Ahmed E. | |
utue.personen.roh | Afat, Saif | |
dcterms.isPartOf.ZSTitelID | Academic Radiology | de_DE |
dcterms.isPartOf.ZS-Issue | 5 | de_DE |
dcterms.isPartOf.ZS-Volume | 30 | de_DE |
utue.fakultaet | 04 Medizinische Fakultät | de_DE |
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