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 24

Citing Papers

Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations
2024 Standout
Environmental Sustainability and AI in Radiology: A Double-Edged Sword
2024 Standout
2 intermediate papers

Works of Patrick Schelb being referenced

Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment
2019 Standout
Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values
2018

Author Peers

Author Last Decade Papers Cites
Patrick Schelb 335 358 1 86 6 449
Simon Köhl 294 370 1 113 9 490
Tomaž Omerzu 160 192 5 73 8 406
Ahmad Algohary 251 339 1 62 13 398
Mi Huang 186 383 4 58 10 477
Matin Hosseinzadeh 232 287 127 10 415
Katherine To’o 275 159 4 48 12 470
Frederic Madesta 110 342 144 15 501
Jiangwei Lao 96 357 123 6 445
Ted W. Way 299 394 1 141 11 474
Jeremy Bancroft Brown 262 253 127 8 403

All Works

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2026