Standout Papers

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images 2019 2026 2021 2023 1.3k
  1. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images (2019)
    Gabriele Campanella, Matthew G. Hanna et al. Nature Medicine
  2. DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem (2019)
    Ida Häggström, C. Ross Schmidtlein et al. Medical Image Analysis

Immediate Impact

9 by Nobel laureates 30 from Science/Nature 86 standout
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Citing Papers

Machine learning in point-of-care testing: innovations, challenges, and opportunities
2025 Standout
A visual-language foundation model for computational pathology
2024 Standout

Works of Thomas J. Fuchs being referenced

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
2019 Standout

Author Peers

Author Last Decade Papers Cites
Thomas J. Fuchs 1570 535 1397 627 57 3.1k
Natalie Shih 1205 672 987 598 44 2.4k
John Tomaszewski 1442 469 1163 769 72 3.1k
Yun Liu 1724 475 2179 700 100 4.8k
Andrew Janowczyk 1472 314 1086 580 64 2.2k
Tahsin Kurç 1587 551 1140 803 152 3.4k
Faisal Mahmood 1347 330 1049 465 57 2.5k
Lee Cooper 1180 995 1429 470 106 4.0k
David J. Foran 978 490 689 732 95 2.6k
Jason Hipp 975 887 783 265 56 2.6k
Gabriele Campanella 1019 829 955 371 28 3.7k

All Works

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2026