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

1 from Science/Nature 68 standout
Sub-graph 1 of 22

Citing Papers

A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
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2 intermediate papers

Works of Dmitrii Usynin being referenced

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

Author Peers

Author Last Decade Papers Cites
Dmitrii Usynin 270 89 86 9 359
Alexander Ziller 258 95 100 7 355
Shivam Kalra 281 45 121 13 356
Andrew Feng 229 44 73 15 398
Nicola Rieke 263 51 134 10 372
Asma Salhi 150 108 62 14 359
Katharina Holzinger 135 110 46 7 373
Tanoy Debnath 161 47 54 10 366
Pedram Lalbakhsh 144 53 204 12 351
Piotr Miłkowski 195 93 36 7 318
Marcin Oleksy 181 91 34 12 316

All Works

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2026