dc.contributor.author | Küstner, Thomas | |
dc.date.accessioned | 2022-07-19T08:00:10Z | |
dc.date.available | 2022-07-19T08:00:10Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 0730-725X | |
dc.identifier.uri | http://hdl.handle.net/10900/129564 | |
dc.language.iso | en | de_DE |
dc.publisher | New York | de_DE |
dc.relation.uri | http://dx.doi.org/10.1016/j.mri.2021.10.004 | de_DE |
dc.subject.ddc | 610 | de_DE |
dc.title | Self-supervised learning-based diffeomorphic non-rigid motion estimation for fast motion-compensated coronary MR angiography | de_DE |
dc.type | Article | de_DE |
utue.quellen.id | 20220404000000_00875 | |
utue.publikation.seiten | 10-18 | de_DE |
utue.personen.roh | Munoz, Camila | |
utue.personen.roh | Qi, Haikun | |
utue.personen.roh | Cruz, Gastao | |
utue.personen.roh | Kuestner, Thomas | |
utue.personen.roh | Botnar, Rene M. | |
utue.personen.roh | Prieto, Claudia | |
dcterms.isPartOf.ZSTitelID | Magnetic Resonance Imaging | de_DE |
dcterms.isPartOf.ZS-Volume | 85 | de_DE |
utue.fakultaet | 04 Medizinische Fakultät | de_DE |
Dateien | Größe | Format | Anzeige |
---|---|---|---|
Zu diesem Dokument gibt es keine Dateien. |