BrainPICM uses progressive individualized community-aware masking via unbalanced optimal transport to produce subject-specific brain network embeddings that outperform prior supervised and self-supervised methods on three fMRI diagnostic datasets.
arXiv preprint arXiv:2401.09266 (2024)
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Progressive Self-Supervised Learning with Individualized Community Assignment for Brain Network Analysis
BrainPICM uses progressive individualized community-aware masking via unbalanced optimal transport to produce subject-specific brain network embeddings that outperform prior supervised and self-supervised methods on three fMRI diagnostic datasets.