Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
Soroosh Tayebi Arasteh(Friedrich-Alexander-Universität Erlangen-Nürnberg), Georgios Kaissis(TUM Klinikum), Rickmer Braren(Klinikum rechts der Isar), Daniel Truhn(Universitätsklinikum Aachen), Alexander Ziller(TUM Klinikum), Marcus R. Makowski(TUM Klinikum), Christiane Kühl(University of Bonn), Sven Nebelung(Universitätsklinikum Aachen), Daniel Rueckert(Munich Center for Machine Learning)
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