Published May 3, 2025
| Version v1
Model
Open
Improving Quality Control of MRI Images Using Synthetic Motion Data
Authors/Creators
-
1.
École de Technologie Supérieure
- 2. Ecole de Technologie Superieure
-
3.
University of Calgary
Description
Model weights used in our IBSI 2025 Paper : "Improving Quality Control of MRI Images Using Synthetic Motion Data"
Pretained-SFCN: is our network pretrained on synthetic motion artifacts onlySFCN-Scratch-X: are different models trained from scratch on the final quality control task using 5 different seedsSFCN-Transfert-X: are different models transferred from our pretrained model on the final quality control task using 5 different seeds
Files
Files
(277.9 MB)
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md5:037b043a2d7492240f4dadc484d9a6d6
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md5:89e2ac09328908ba15fdd6c35e8b1a1c
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md5:bfb9ee5be98e52af2cb55e89b7dcc00d
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Additional details
Related works
- Is described by
- Preprint: arXiv:2502.00160 (arXiv)
- Conference paper: 10.1109/ISBI60581.2025.10981056 (DOI)
Software
- Repository URL
- https://github.com/Neuro-iX/ISBI25-MotionDetector/tree/main
- Programming language
- Python