End-to-end reproducible AI pipelines in radiology using the cloud

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
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

Creator
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.
Contributor
SpringerLink (Online service)

DOI
10.1038/s41467-024-51202-2
URN
urn:nbn:de:101:1-2411010752052.391135047663
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:24 AM CEST

Data provider

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Associated

  • 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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