dc.contributor.author |
Hepp, Tobias |
|
dc.contributor.author |
Blum, Dominik |
|
dc.contributor.author |
Gatidis, Sergios |
|
dc.contributor.author |
Schölkopf, Bernhard |
|
dc.date.accessioned |
2022-03-21T09:14:17Z |
|
dc.date.available |
2022-03-21T09:14:17Z |
|
dc.date.issued |
2021 |
|
dc.identifier.issn |
1879-0771 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/125457 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
Pergamon - Elsevier Science Ltd |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1016/j.compmedimag.2021.101967 |
de_DE |
dc.subject.ddc |
600 |
de_DE |
dc.subject.ddc |
610 |
de_DE |
dc.title |
Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20211125174918_00837 |
|
utue.personen.roh |
Hepp, Tobias |
|
utue.personen.roh |
Blum, Dominik |
|
utue.personen.roh |
Armanious, Karim |
|
utue.personen.roh |
Schoelkopf, Bernhard |
|
utue.personen.roh |
Stern, Darko |
|
utue.personen.roh |
Yang, Bin |
|
utue.personen.roh |
Gatidis, Sergios |
|
dcterms.isPartOf.ZSTitelID |
Computerized Medical Imaging and Graphics |
de_DE |
dcterms.isPartOf.ZS-Issue |
Article 101967 |
de_DE |
dcterms.isPartOf.ZS-Volume |
92 |
de_DE |
utue.fakultaet |
04 Medizinische Fakultät |
de_DE |