dc.contributor.author | Agrawal, Vaibhav | |
dc.contributor.author | Heni, Martin | |
dc.contributor.author | Dienes, Julia | |
dc.contributor.author | Reichert, Steffen | |
dc.contributor.author | Birkenfeld, Andreas L. | |
dc.contributor.author | Schick, Fritz | |
dc.contributor.author | Stefan, Norbert | |
dc.contributor.author | Bauer, Stefan | |
dc.contributor.author | Machann, Jürgen | |
dc.contributor.author | Häring, Hans-Ulrich | |
dc.contributor.author | Fritsche, Andreas | |
dc.contributor.author | Preißl, Hubert | |
dc.contributor.author | Schölkopf, Bernhard | |
dc.contributor.author | Wagner, Róbert | |
dc.date.accessioned | 2022-07-04T09:52:58Z | |
dc.date.available | 2022-07-04T09:52:58Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 2379-3708 | |
dc.identifier.uri | http://hdl.handle.net/10900/129000 | |
dc.language.iso | en | de_DE |
dc.publisher | Ann Arbor | de_DE |
dc.relation.uri | http://dx.doi.org/10.1172/jci.insight.146999 | de_DE |
dc.subject.ddc | 610 | de_DE |
dc.title | Detection of diabetes from whole-body MRI using deep learning | de_DE |
dc.type | Article | de_DE |
utue.quellen.id | 20220404000000_00596 | |
utue.personen.roh | Dietz, Benedikt | |
utue.personen.roh | Machann, Juergen | |
utue.personen.roh | Agrawal, Vaibhav | |
utue.personen.roh | Heni, Martin | |
utue.personen.roh | Schwab, Patrick | |
utue.personen.roh | Dienes, Julia | |
utue.personen.roh | Reichert, Steffen | |
utue.personen.roh | Birkenfeld, Andreas L. | |
utue.personen.roh | Haering, Hans-Ulrich | |
utue.personen.roh | Schick, Fritz | |
utue.personen.roh | Stefan, Norbert | |
utue.personen.roh | Fritsche, Andreas | |
utue.personen.roh | Preissl, Hubert | |
utue.personen.roh | Schoelkopf, Bernhard | |
utue.personen.roh | Bauer, Stefan | |
utue.personen.roh | Wagner, Robert | |
dcterms.isPartOf.ZSTitelID | Jci Insight | de_DE |
dcterms.isPartOf.ZS-Issue | Article e146999 | de_DE |
dcterms.isPartOf.ZS-Volume | 6 (21) | de_DE |
utue.fakultaet | 04 Medizinische Fakultät | de_DE |
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