Standout Papers

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segme... 2019 2026 2021 2023 378
  1. Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks (2019)
    Veit Sandfort, Ke Yan et al. Scientific Reports

Immediate Impact

1 from Science/Nature 60 standout
Sub-graph 1 of 21

Citing Papers

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
2024 Standout
Multi‐Mode/Signal Biosensors: Electrochemical Integrated Sensing Techniques
2024 Standout
2 intermediate papers

Works of Ke Yan being referenced

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks
2019 Standout

Author Peers

Author Last Decade Papers Cites
Ke Yan 295 443 127 330 8 907
Maximilian Baust 520 392 102 300 20 913
Zhihao Wu 304 392 72 307 12 932
Mohammad Hesam Hesamian 311 439 122 379 7 1.1k
Kersten Petersen 348 394 154 210 12 828
Sanghoon Jun 284 432 144 144 21 1.0k
Justin Ker 395 436 68 271 6 1.1k
N. K. Timofeeva 642 423 98 257 10 866
Yi Wang 397 572 101 388 32 1.1k
Veronika Cheplygina 520 352 119 404 24 1.1k
Jai Prashanth Rao 397 453 77 271 17 1.1k

All Works

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Rankless by CCL
2026