- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
End-to-end reproducible AI pipelines in radiology using the cloud ; volume:15 ; number:1 ; day:13 ; month:8 ; year:2024 ; pages:1-9 ; date:12.2024
Nature Communications ; 15, Heft 1 (13.8.2024), 1-9, 12.2024
- Urheber
-
Bontempi, Dennis
Nuernberg, Leonard
Pai, Suraj
Krishnaswamy, Deepa
Thiriveedhi, Vamsi
Hosny, Ahmed
Mak, Raymond H.
Farahani, Keyvan
Kikinis, Ron
Fedorov, Andrey
Aerts, Hugo J. W. L.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-024-51202-2
- URN
-
urn:nbn:de:101:1-2411010752052.391135047663
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Bontempi, Dennis
- Nuernberg, Leonard
- Pai, Suraj
- Krishnaswamy, Deepa
- Thiriveedhi, Vamsi
- Hosny, Ahmed
- Mak, Raymond H.
- Farahani, Keyvan
- Kikinis, Ron
- Fedorov, Andrey
- Aerts, Hugo J. W. L.
- SpringerLink (Online service)
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