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Evaluating the Generalization of Neuroimaging Foundation Models on African Brain MRI
Neuroimaging foundation models pretrained on large, predominantly western cohorts are increasingly proposed as general-purpose backbones for brain MRI analysis. Yet, their ability to generalize to underrepresented clinical populations remains largely untested. We evaluate four recent foundation models (BrainIAC, Neuro-JEPA, NeuroVFM, and Primus) on a three-way diagnostic classification task (Control, Dementia, Parkinson's disease) using a cohort of 88 subjects from a Nigerian clinical brain MRI dataset, across four modality configurations (T1w, T2w, T1w+T2w, FLAIR), and compare against an end-
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T01:33:27.000Z
First collected: 2026-09-23T09:51:33.063Z. This is not the publication date.