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.
Advances in Neural Information Processing Systems35, 25586–25599 (2022)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.NC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.