RegionFM: Interpretable Region-Based Brain MRI Classification Using Foundation Model Embeddings
Foundation models provide powerful representations for brain MRI analysis, but their predictions remain difficult to interpret in anatomically meaningful terms. Clinical assessment of brain MRI is commonly organized around anatomically defined structures and regional abnormalities, whereas conventional explanation methods typically produce voxel- or patch-level importance maps that do not explicitly quantify the contributions of individual brain regions. To address this mismatch, we propose RegionFM, an interpretable framework that integrates anatomical segmentation with brain MRI foundation-model embeddings. RegionFM first divides each MRI scan into anatomical regions and constructs a se...
| Authors | Wei Zhang, Ming Tang |
|---|---|
| Primary category | cs.CV |
| Published | 15 July 2026 |
| Last updated at source | 30 September 2026 |
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