"End-to-end privacy preserving deep learning on multi-institutional medical ..."

Georgios Kaissis et al. (2021)

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DOI: 10.1038/S42256-021-00337-8

access: closed

type: Journal Article

metadata version: 2022-10-02

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Georgios Kaissis, Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Lima, Jason Mancuso, Friederike Jungmann, Marc-Matthias Steinborn, Andreas Saleh, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren:
End-to-end privacy preserving deep learning on multi-institutional medical imaging. Nat. Mach. Intell. 3(6): 473-484 (2021)

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