Standout Papers

Transparency of deep neural networks for medical image analysis: A review of interpretability methods 2021 2026 2022 2024218
  1. Transparency of deep neural networks for medical image analysis: A review of interpretability methods (2021)
    Zohaib Salahuddin, Henry C. Woodruff et al. Computers in Biology and Medicine

Immediate Impact

27 standout
Sub-graph 1 of 10

Citing Papers

Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024
2024 Standout
A review of Explainable Artificial Intelligence in healthcare
2024 Standout
3 intermediate papers

Works of Zohaib Salahuddin being referenced

Transparency of deep neural networks for medical image analysis: A review of interpretability methods
2021 Standout

Author Peers

Author Last Decade Papers Cites
Zohaib Salahuddin 236 149 78 13 385
Katharina Hoebel 216 135 71 14 415
Gustav Müller‐Franzes 275 193 60 22 444
Natascha Claudia D’Amico 267 164 66 9 452
Saeed Seyyedi 201 178 62 8 430
Morgan P. McBee 236 88 97 16 431
Kim Eun Hee 173 144 32 19 394
Keewon Shin 173 99 41 21 395
Shawn Sun 229 99 92 18 386
Mohamed Shehata 251 114 112 37 440
Iñaki Soto‐Rey 176 117 45 26 419

All Works

Loading papers...

Rankless by CCL
2026