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