Standout Papers

End-to-end privacy preserving deep learning on multi-institutional medical imaging 2021 2026 2022 2024221
  1. End-to-end privacy preserving deep learning on multi-institutional medical imaging (2021)
    Georgios Kaissis, Alexander Ziller et al. Nature Machine Intelligence

Immediate Impact

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Works of Andrew Trask being referenced

End-to-end privacy preserving deep learning on multi-institutional medical imaging
2021 Standout

Author Peers

Author Last Decade Papers Cites
Andrew Trask 183 24 3 63 57 4 254
Théo Ryffel 204 30 61 60 5 270
Jesse C. Cresswell 170 26 4 56 37 5 221
Mengshen He 156 26 3 37 74 6 317
Kamil Kanclerz 193 23 4 36 93 4 310
Tianle Han 152 25 3 30 74 6 315
Ángel Fernández-Leal 128 20 1 19 46 8 309
José Bobes-Bascarán 123 17 1 19 47 5 282
David Schneeberger 114 13 28 68 4 209
Imrana Abdullahi Yari 196 60 25 38 6 252
Bernd Malle 154 25 5 16 30 4 247

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2026