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. [doi]
@article{KaissisZPRUTLMJ21,
title = {End-to-end privacy preserving deep learning on multi-institutional medical imaging},
author = {Georgios Kaissis and Alexander Ziller and Jonathan Passerat-Palmbach and Théo Ryffel and Dmitrii Usynin and Andrew Trask and Ionésio Lima and Jason Mancuso and Friederike Jungmann and Marc-Matthias Steinborn and Andreas Saleh and Marcus R. Makowski and Daniel Rueckert and Rickmer Braren},
year = {2021},
doi = {10.1038/s42256-021-00337-8},
url = {https://doi.org/10.1038/s42256-021-00337-8},
researchr = {https://researchr.org/publication/KaissisZPRUTLMJ21},
cites = {0},
citedby = {0},
journal = {Nat. Mach. Intell.},
volume = {3},
number = {6},
pages = {473-484},
}