Immediate Impact
17 standout
Citing Papers
Segment anything in medical images
2024 Standout
Medical Image Segmentation Review: The Success of U-Net
2024 Standout
Works of Ivan Ezhov 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 | ||||
|---|---|---|---|---|---|---|---|
| Ivan Ezhov | 108 | 30 | 51 | 50 | 39 | 287 | |
| Sergiy Pereverzyev | 25 | 17 | 34 | 20 | 15 | 231 | |
| Diwei Zhou | 63 | 4 | 54 | 50 | 22 | 280 | |
| Matteo Rucco | 61 | 17 | 16 | 22 | 21 | 285 | |
| Franck Vermet | 117 | 5 | 65 | 10 | 21 | 221 | |
| O. Lange | 62 | 2 | 30 | 22 | 25 | 269 | |
| Maulik R. Kamdar | 53 | 118 | 17 | 21 | 249 | ||
| Péter Pollner | 24 | 7 | 50 | 13 | 49 | 271 | |
| David Dupplaw | 31 | 88 | 55 | 31 | 191 | ||
| Jooyong Shim | 12 | 3 | 53 | 32 | 54 | 306 | |
| Orazio Gambino | 108 | 3 | 72 | 115 | 37 | 299 |
All Works
Login with ORCID to disown or claim papers
Loading papers...