Standout Papers

AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatom... 2018 2026 2020 2023 319
  1. AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy (2018)
    Wentao Zhu, Yufang Huang et al. Medical Physics

Immediate Impact

62 standout
Sub-graph 1 of 23

Citing Papers

DCSSGA-UNet: Biomedical image segmentation with DenseNet channel spatial and Semantic Guidance Attention
2025 Standout
Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models
2025 Standout
2 intermediate papers

Works of Nan Du being referenced

AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy
2018 Standout

Author Peers

Author Last Decade Papers Cites
Nan Du 146 17 119 184 11 413
Liang Zeng 107 5 111 186 18 385
Yeqin Shao 75 8 181 184 32 395
Shujun Liang 157 1 98 282 20 419
Saeed Seyyedi 178 6 39 201 8 430
Dzhoshkun I. Shakir 106 10 134 198 18 471
Michael Schwier 81 105 200 21 493
Jeroen Bertels 102 3 109 184 15 462
Xiangfei Chai 86 1 66 240 18 478
Matthew A. Deeley 32 6 60 313 15 425
Valérie Duay 48 268 211 19 496

All Works

Loading papers...

Rankless by CCL
2026