English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Other

Reproducibility in the context of AI in health care

Authors

Wagner,  Sophia
Helmholtz Zentrum München;
Helmholtz Open Science Office, External Organizations;

Matek,  Christian
Helmholtz Zentrum München;
Helmholtz Open Science Office, External Organizations;

Boushehri,  Sayedali Shetab
Helmholtz Zentrum München;
Helmholtz Open Science Office, External Organizations;

Boxberg,  Melanie
Helmholtz Zentrum München;
Helmholtz Open Science Office, External Organizations;

Lamm,  Lorenz
Helmholtz Zentrum München;
Helmholtz Open Science Office, External Organizations;

Sadafi,  Ario
Helmholtz Zentrum München;
Helmholtz Open Science Office, External Organizations;

Waibel,  Dominik Jens Elias
Helmholtz Zentrum München;
Helmholtz Open Science Office, External Organizations;

Marr,  Carsten
Helmholtz Zentrum München;
Helmholtz Open Science Office, External Organizations;

Peng,  Tingying
Helmholtz Zentrum München;
Helmholtz Open Science Office, External Organizations;

External Ressource
No external resources are shared
Fulltext (public)
Supplementary Material (public)
There is no public supplementary material available
Citation

Wagner, S., Matek, C., Boushehri, S. S., Boxberg, M., Lamm, L., Sadafi, A., Waibel, D. J. E., Marr, C., Peng, T. (2023): Reproducibility in the context of AI in health care, Love your data? Make it reproducible! A workshop on reproducibility in data science on 14.02.2023 (Online 2023), Potsdam : Helmholtz Open Science Office.
https://doi.org/10.48440/os.helmholtz.062


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015444
Abstract
There is no abstract available