Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links
Abstract: Highlights•Self-supervised models reveal group discriminative regions.•Self-supervised models reveal multimodal links between regions.•Multi-scale multimodal relationships improve classification performance.•Costly training of a decoder for reconstruction is not required.•A rigorous evaluation framework enabled by an exhaustive taxonomy.
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