Immediate Impact
18 standout
Citing Papers
Segment anything in medical images
2024 Standout
Medical Image Segmentation Review: The Success of U-Net
2024 Standout
Works of Hamza Kebiri being referenced
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset
2021
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Hamza Kebiri | 56 | 57 | 1 | 34 | 8 | 137 | |
| Seyed Raein Hashemi | 31 | 71 | 66 | 5 | 194 | ||
| Xavier Tomas-Fernandez | 27 | 71 | 3 | 30 | 10 | 209 | |
| Lianrui Zuo | 9 | 101 | 2 | 42 | 13 | 149 | |
| Matthew Nitzken | 18 | 83 | 35 | 12 | 176 | ||
| Ahmed E. Fetit | 13 | 122 | 51 | 33 | 10 | 165 | |
| Benjamín Gutiérrez-Becker | 12 | 35 | 12 | 18 | 6 | 130 | |
| Domenique M. J. Müller | 7 | 98 | 71 | 15 | 10 | 198 | |
| Priscille de Dumast | 55 | 45 | 39 | 11 | 159 | ||
| Jianhao Xiong | 10 | 42 | 38 | 6 | 124 | ||
| Adi Szeskin | 9 | 85 | 2 | 38 | 10 | 160 |
All Works
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