Standout Papers

Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment 2019 2026 2021 2023 206
  1. Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment (2019)
    Patrick Schelb, Simon Köhl et al. Radiology

Immediate Impact

59 standout
Sub-graph 1 of 22

Citing Papers

Segment anything in medical images
2024 Standout
Environmental Sustainability and AI in Radiology: A Double-Edged Sword
2024 Standout
2 intermediate papers

Works of Simon Köhl being referenced

nnU-Net: Breaking the Spell on Successful Medical Image Segmentation.
2019
Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values
2018

Author Peers

Author Last Decade Papers Cites
Simon Köhl 370 294 70 113 9 490
Beomhee Park 277 205 64 108 16 486
Patrick Schelb 358 335 34 86 6 449
Morgan P. McBee 236 97 35 88 16 431
Michelle Bardis 350 141 82 118 12 531
Ted W. Way 394 299 46 141 11 474
José Raniery Ferreira 311 180 29 112 22 452
Chayanin Nitiwarangkul 405 126 73 45 14 496
Matin Hosseinzadeh 287 232 99 127 10 415
Katharina Hoebel 216 71 35 135 14 415
Awais Mansoor 418 198 148 72 9 549

All Works

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Rankless by CCL
2026