Standout Papers

Secure, privacy-preserving and federated machine learning in medical imaging 2020 2026 2022 2024549
  1. Secure, privacy-preserving and federated machine learning in medical imaging (2020)
    Georgios Kaissis, Marcus R. Makowski et al. Nature Machine Intelligence

Immediate Impact

4 from Science/Nature 58 standout
Sub-graph 1 of 23

Citing Papers

Multi‐Mode/Signal Biosensors: Electrochemical Integrated Sensing Techniques
2024 Standout
Robotic wireless capsule endoscopy: recent advances and upcoming technologies
2024 Standout
1 intermediate paper

Works of Daniel Rückert being referenced

Secure, privacy-preserving and federated machine learning in medical imaging
2020 Standout

Author Peers

Author Last Decade Papers Cites
Daniel Rückert 184 25 29 365 170 14 681
Apeksha Koul 173 21 28 249 130 13 678
Zahra Shakeri Hossein Abad 250 13 18 325 281 8 790
Wei‐Hung Weng 129 7 22 267 96 21 601
Ruchi Singla 184 13 19 194 140 10 601
Zhengliang Liu 183 57 13 343 195 46 803
Jie Wu 457 7 15 275 312 16 824
Silvia Seoni 150 95 72 237 127 28 698
Nazik Alturki 170 12 15 458 99 44 813
Mohammad Amin Morid 153 13 26 241 68 16 644
M.A. Chyad 168 27 9 281 57 12 721

All Works

Loading papers...

Rankless by CCL
2026