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MrGiovanni/ModelsGenesis
[MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns transferable representations from unlabeled CT and MRI volumes, then fine-tunes for downstream segmentation and classification. Keras and PyTorch weights included.
★ 796
Stars
143 forks · 28 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
17.4
Momentum / 100
see the breakdown below
7y ago
Created
last push 2mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 9.0 | last push 2mo ago; decays to zero at 180 days |
| Scale | 15 | 8.4 | 796 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 17.4 | sum of the above |
Detail
| Topics | 3d-model3d-segmentationchest-ctctfeature-learningfine-tuningfoundation-modelsmedical-image-analysismedical-imagingmrpre-trained-modelrepresentation-learningself-supervised-learningtransfer-learningunsupervised-learning |
| Matched on | LLM & Inference (fine-tuning) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +2 stars over 26 days = 0.1/day |
| Lifetime average | 0.30 stars/day over 2,661 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |