Standout Papers

Deep learning for prediction of colorectal cancer outcome: a discovery and validation study 2020 2026 2022 2024359
  1. Deep learning for prediction of colorectal cancer outcome: a discovery and validation study (2020)
    Ole-Johan Skrede, Sepp de Raedt et al. The Lancet

Immediate Impact

1 from Science/Nature 67 standout
Sub-graph 1 of 21

Citing Papers

Understanding the complexity of p53 in a new era of tumor suppression
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2 intermediate papers

Works of John Maddison being referenced

Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
2020 Standout

Author Peers

Author Last Decade Papers Cites
John Maddison 54 195 273 174 16 485
Ellery Wulczyn 22 353 330 84 14 549
Arjun B. Sood 168 70 183 94 15 435
Michael Grunkin 175 123 292 108 10 556
Max Schmitt 8 242 132 243 15 497
Daniel Heim 10 169 101 72 16 467
John Arne Nesheim 3 185 249 202 9 439
Rob Vogels 11 152 103 181 8 504
Judy J. Wang 5 282 219 70 13 565
Mishka Gidwani 9 122 287 63 6 431
Wei Qiu 74 69 87 70 32 557

All Works

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2026