Standout Papers
- Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan (2021)
- Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis (2022)
- Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation (2020)
- UNETR: Transformers for 3D Medical Image Segmentation (2022)
Immediate Impact
1 from Science/Nature 59 standout
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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