Standout Papers

Quantifying the effects of data augmentation and stain color normalization in convolutional neural network... 2019 2026 2021 2023 391
  1. Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology (2019)
    David Tellez, Geert Litjens et al. Medical Image Analysis
  2. 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 73 standout
Sub-graph 1 of 20

Citing Papers

Bias in medical AI: Implications for clinical decision-making
2024 Standout
Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics
2024 Standout
3 intermediate papers

Works of Wouter Bulten 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
Wouter Bulten 203 683 485 234 7 895
Thomas de Bel 231 582 410 198 15 905
Hans Pinckaers 206 548 427 151 14 801
Robert MacDonald 245 478 402 128 10 895
N. K. Timofeeva 98 642 423 257 10 866
Maschenka Balkenhol 61 594 464 249 18 780
Jeremias Krause 98 422 458 89 8 796
Mikhail Zaslavskiy 106 494 403 203 16 1.1k
Safoora Yousefi 98 427 415 77 6 792
Yee‐Wah Tsang 41 713 461 333 6 985
Maximilian Baust 102 520 392 300 20 913

All Works

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2026