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cs.LG2025
A Federated Learning Framework for Handling Subtype Confounding and Heterogeneity in Large-Scale Neuroimaging Diagnosis
Xinglin Zhao, Yanwen Wang, Xiaobo Liu +3
Computer-aided diagnosis (CAD) systems play a crucial role in analyzing neuroimaging data for neurological and psychiatric disorders. However, small-sample studies suffer from low…
cs.LG2024
MCDGLN: Masked Connection-based Dynamic Graph Learning Network for Autism Spectrum Disorder
Peng Wang, Xin Wen, Ruochen Cao +3
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by complex physiological processes. Previous research has predominantly focused on static cerebral int…