NeuroVFM: A Neuroimaging Foundation Model Trained on 5.24M Clinical MRI and CT Volumes

Jul 13, 2026

Researchers at the University of Michigan have developed NeuroVFM, a generalist neuroimaging foundation model trained on 5.24 million clinical MRI and CT volumes. The model uses Vol-JEPA, an extension of I-JEPA and V-JEPA, to learn brain anatomy and pathology without requiring radiology-report labels.

Why it matters: This model could enable more scalable analysis of brain imaging data without the need for labeled datasets.

Full story at: MarkTechPost / AI ↗