Standout Papers

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology 2017 2026 2020 2023 547
  1. A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology (2017)
    Neeraj Kumar, Ruchika Verma et al. IEEE Transactions on Medical Imaging

Immediate Impact

1 by Nobel laureates 8 from Science/Nature 73 standout
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Citing Papers

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2 intermediate papers

Works of Ruchika Verma being referenced

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
2017 Standout

Author Peers

Author Last Decade Papers Cites
Ruchika Verma 430 468 88 365 24 855
Dimitris Glotsos 298 346 48 180 63 742
Olcay Sertel 277 680 21 484 19 891
Chung‐Ming Lo 688 509 105 246 59 1.1k
N. K. Timofeeva 423 642 8 257 10 866
Darvin Yi 670 309 58 194 22 1.0k
Mark D. Zarella 402 613 10 174 28 965
Rajarsi Gupta 581 400 11 170 45 1.1k
Joel H. Saltz 197 369 29 219 23 760
Tong Ding 257 306 37 112 28 779
Le Hou 413 636 6 349 23 890

All Works

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2026