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A self-supervised foundation model for structural brain MRI combining DenseNet and Vision Transformer with Mixture of Experts for multi-task brain disease diagnosis and brain age prediction.

A self-supervised vision foundation model for structural brain MRI that produces general-purpose features adaptable to diverse downstream clinical and neuroscience tasks.

Anatomical foundation models for brain MRI, pretrained with weakly supervised contrastive learning over cortical anatomy for diagnosis and clinical score prediction.