BrainIAC (Nature Neuroscience 2026)
github.com/aim-kannlab/brainiacSelf-supervised vision foundation model for generalized structural brain MRI analysis, pretrained on ~49,000 scans from diverse datasets and generalizing across brain age prediction, dementia/MCI classification, IDH mutation detection, glioma survival prediction, time-to-stroke estimation, MR sequence classification, and brain tumor segmentation; outperforms task-specific models especially with limited training data (Mass General Brigham & Harvard Medical School, 129+ stars)
Sourced from
- Awesome AI for Science — github.com/aim-kannlab/brainiac
- GitHub — github.com/aim-kannlab/brainiac
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