Standout Papers

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-na... 2020 2026 2022 20241.1k
  1. Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan (2021)
    Dong Yang, Ziyue Xu et al. Medical Image Analysis
  2. Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis (2022)
    Yucheng Tang, Dong Yang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  3. Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation (2020)
    Ling Zhang, Xiaosong Wang et al. IEEE Transactions on Medical Imaging
  4. UNETR: Transformers for 3D Medical Image Segmentation (2022)
    Ali Hatamizadeh, Yucheng Tang et al. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Immediate Impact

1 from Science/Nature 59 standout
Sub-graph 1 of 21

Citing Papers

Deep learning based multimodal biomedical data fusion: An overview and comparative review
2024 Standout
Sparse Dynamic Volume TransUNet with multi-level edge fusion for brain tumor segmentation
2024 Standout

Works of Dong Yang being referenced

UNETR: Transformers for 3D Medical Image Segmentation
2022 Standout
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
2020

Author Peers

Author Last Decade Papers Cites
Dong Yang 1316 1145 699 878 56 2.8k
Ender Konukoğlu 1085 1451 645 728 93 3.3k
Andriy Myronenko 1048 1868 595 727 26 3.6k
Mattias P. Heinrich‬ 1662 1636 683 637 63 3.1k
Xin Yang 1261 947 500 953 70 2.5k
Dong Nie 1747 1487 703 872 73 3.4k
Wei Yang 1634 1249 792 755 153 3.2k
Mingchen Gao 1428 926 430 1324 32 3.7k
Wenqi Li 1648 1702 625 1511 49 4.3k
Guotai Wang 1463 1527 560 1117 81 3.3k
Bernhard Kainz 1376 1283 472 991 74 3.4k

All Works

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2026