Standout Papers

Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study 2020 2026 2022 2024391
  1. Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study (2020)
    Wouter Bulten, Hans Pinckaers et al. The Lancet Oncology

Immediate Impact

2 from Science/Nature 66 standout
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Citing Papers

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3 intermediate papers

Works of Thomas de Bel being referenced

Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
2020 Standout
Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
2020

Author Peers

Author Last Decade Papers Cites
Thomas de Bel 582 145 410 231 15 905
Hans Pinckaers 548 134 427 206 14 801
Wouter Bulten 683 144 485 203 7 895
Robert MacDonald 478 154 402 245 10 895
Guy Nir 394 71 455 293 25 878
N. K. Timofeeva 642 128 423 98 10 866
Maximilian Baust 520 71 392 102 20 913
Jeremias Krause 422 286 458 98 8 796
José E. Velázquez Vega 370 115 380 106 14 760
Dyke Ferber 463 354 436 67 18 857
Maschenka Balkenhol 594 133 464 61 18 780

All Works

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2026