Immediate Impact
4 standout
Citing Papers
Segment anything model for medical image segmentation: Current applications and future directions
2024 Standout
On the challenges and perspectives of foundation models for medical image analysis
2023 Standout
Works of Keenan Moore being referenced
An international challenge to use artificial intelligence to define the state of the art in kidney and kidney tumor segmentation in CT imaging
2020
An international challenge to use artificial intelligence to define the state-of-the-art in kidney and kidney tumor segmentation in CT imaging.
2020
Author Peers
| Author | Last Decade | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|
| Keenan Moore | 8 | 1 | 1 | 6 | 2 | 4 | 10 | |
| Samia Akhtar | 8 | 3 | 2 | 4 | 9 | |||
| Jianfei He | 4 | 1 | 1 | 6 | 2 | 2 | 9 | |
| D. Haitz | 3 | 11 | 4 | 14 | ||||
| Petro Liashchynskyi | 2 | 1 | 1 | 4 | 3 | 2 | 11 | |
| Jiang Tian | 6 | 2 | 4 | 11 | 5 | 12 | ||
| M. Bachtis | 2 | 3 | 1 | 4 | 10 | |||
| Kaiqi Dong | 5 | 1 | 3 | 9 | 4 | 12 | ||
| M. Didenko | 7 | 4 | 10 | |||||
| Y. W. Chang | 6 | 2 | 4 | 4 | 11 | |||
| Federico Incardona | 6 | 1 | 1 | 4 | 12 |
All Works
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