Python · MIT
ImprintLab/MedSegDiff
Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]
★ 1.4k
Stars
202 forks · 116 open issues
−1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
9.1
Momentum / 100
see the breakdown below
4y ago
Created
last push 14mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | −1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 0.0 | last push 14mo ago; decays to zero at 180 days |
| Scale | 15 | 9.1 | 1.4k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 9.1 | sum of the above |
Detail
| Topics | artificial-intelligencedeep-learningdenoising-diffusionimage-segmentationmedical-imagingsegmentation |
| Matched on | Computer Vision (image-segmentation) |
| Short window | +-1 stars over 7 days = -0.1/day |
| Long window | +1 stars over 26 days = 0.0/day |
| Lifetime average | 0.93 stars/day over 1,461 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |