Standout Papers

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer H... 2016 2026 2019 2022 677
  1. Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images (2016)
    Korsuk Sirinukunwattana, Shan E Ahmed Raza et al. IEEE Transactions on Medical Imaging
  2. Gland segmentation in colon histology images: The glas challenge contest (2016)
    Korsuk Sirinukunwattana, Josien P. W. Pluim et al. Medical Image Analysis

Immediate Impact

1 by Nobel laureates 20 from Science/Nature 70 standout
Sub-graph 1 of 19

Citing Papers

Machine learning in point-of-care testing: innovations, challenges, and opportunities
2025 Standout
Artificial intelligence in drug development
2025 Standout
3 intermediate papers

Works of David Snead being referenced

Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study
2021
Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation
2017
and 2 more

Author Peers

Author Last Decade Papers Cites
David Snead 2040 2051 919 1146 123 6.0k
Filippo Molinari 1372 2471 199 794 293 7.6k
Brian S. Garra 578 4797 367 955 147 7.6k
Eliot L. Siegel 560 2273 278 417 214 5.0k
Namkug Kim 992 4316 660 1201 400 10.1k
Bradley J. Erickson 1555 4171 473 840 265 9.4k
Francesco Sardanelli 919 4594 1083 1586 393 9.7k
Marcus R. Makowski 993 2868 421 973 355 6.1k
Yanfeng Li 501 665 306 676 207 5.3k
Luca Saba 761 3576 603 1733 555 11.0k
Michael Fulham 1364 3339 1100 302 249 8.0k

All Works

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Rankless by CCL
2026