Immediate Impact
6 standout
Citing Papers
Medical Image Segmentation Review: The Success of U-Net
2024 Standout
ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation
2024 Standout
Works of Bora Baydar being referenced
Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors
2019
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Bora Baydar | 19 | 33 | 17 | 3 | 54 | ||
| Biwen Lei | 27 | 59 | 19 | 4 | 84 | ||
| Gabriel Efrain Humpire Mamani | 7 | 30 | 1 | 19 | 3 | 56 | |
| Matthias Perkonigg | 20 | 30 | 11 | 5 | 47 | ||
| Siddhartha Nath | 18 | 35 | 1 | 11 | 5 | 75 | |
| Sinan Onogur | 19 | 23 | 8 | 3 | 41 | ||
| Qingyi Tao | 24 | 17 | 25 | 5 | 56 | ||
| Shangliang Xu | 14 | 17 | 9 | 3 | 46 | ||
| Kaushik Shivakumar | 12 | 47 | 1 | 32 | 4 | 80 | |
| Richard V. Stebbing | 26 | 23 | 1 | 12 | 3 | 80 | |
| Patrick Ferdinand Christ | 29 | 68 | 26 | 3 | 99 |
All Works
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