Keun-Chang Kwak

CM-EEGNet: Multiscale Contrastive Learning with Prototype-Based Channel Contribution Analysis for Dementia Diagnosis

Electroencephalography (EEG) is a cost-effective and noninvasive modality for identifying neurophysiological alterations associated with Alzheimer’s disease (AD). To robustly extract disease-specific features, this study presents contrastive multiscale EEGNet (CM-EEGNet), a domain-specific deep learning framework that...