Standout Papers

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring 2016 2026 2019 2022 284
  1. Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring (2016)
    Michiel Kallenberg, Kersten Petersen et al. IEEE Transactions on Medical Imaging

Immediate Impact

4 from Science/Nature 69 standout
Sub-graph 1 of 22

Citing Papers

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

Works of Pengfei Diao being referenced

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring
2016 Standout

Author Peers

Author Last Decade Papers Cites
Pengfei Diao 420 207 167 280 272 50 1.1k
Daisuke Komura 416 165 186 290 52 53 1.4k
G Brugal 414 90 227 281 40 52 1.0k
Gang Chen 405 285 170 315 35 67 1.3k
Pegah Khosravi 297 133 119 84 66 23 1.1k
Tae Hyun Hwang 483 125 128 285 36 47 932
Miguel F. Diaz 393 96 85 219 19 38 1.3k
Jean‐Lambert Pasteels 250 195 164 239 19 54 1.0k
Xiaohui Zhang 428 109 258 288 32 55 1.0k
Michael Bockmayr 372 273 272 624 14 33 1.3k
Thompson 256 83 108 361 64 37 1.1k

All Works

Loading papers...

Rankless by CCL
2026