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  Reproducibility in the context of AI in health care

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

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015444 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015444_1
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2023-02_reproducibility_AI_in_medicine.pdf (Publisher version), 6MB
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2023-02_reproducibility_AI_in_medicine.pdf
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 Creators:
Wagner, Sophia1, 2, Author
Matek, Christian1, 2, Author
Boushehri, Sayedali Shetab1, 2, Author
Boxberg, Melanie1, 2, Author
Lamm, Lorenz1, 2, Author
Sadafi, Ario1, 2, Author
Waibel, Dominik Jens Elias1, 2, Author
Marr, Carsten1, 2, Author
Peng, Tingying1, 2, Author
Affiliations:
1Helmholtz Zentrum München, ou_persistent22              
2Helmholtz Open Science Office, External Organizations, Potsdam, ou_3863888              

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Language(s): eng - English
 Dates: 20232023
 Publication Status: Finally published
 Pages: -
 Publishing info: Potsdam : Helmholtz Open Science Office
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.48440/os.helmholtz.062
 Degree: -

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Title: Love your data? Make it reproducible! A workshop on reproducibility in data science on 14.02.2023
Place of Event: Online
Start-/End Date: 2023-02-14 - 2023-02-14

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