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ORCID"Private, fair and accurate: Training large-scale, privacy-preserving AI ..."
Soroosh Tayebi Arasteh et al. (2023)
- Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus R. Makowski, Sven Nebelung, Rickmer Braren, Daniel Rueckert, Daniel Truhn, Georgios Kaissis:
Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology. CoRR abs/2302.01622 (2023)
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