MADCLE produces cross-atlas consistent disease representations from multi-atlas fMRI functional connectivity by separating disease-related, covariate, and atlas-dependent factors via alignment and decorrelation.
In: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)
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Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
MADCLE produces cross-atlas consistent disease representations from multi-atlas fMRI functional connectivity by separating disease-related, covariate, and atlas-dependent factors via alignment and decorrelation.