Tafresh University

An explainable multi-modal graph learning framework with attention-based GCN-GAT for EEG-based depression detection

Major Depressive Disorder (MDD) is phenotypic and neurophysiologically heterogeneous, and developing reliable computational models for it requires careful control of information leakage, dataset heterogeneity, and contributions from different information sources. In this study, a...

Hybrid deep features for COVID-19 lung CT image segmentation

Worldwide, the coronavirus disease 2019 (COVID-19) led to a critical public health situation. While automatic segmentation of lung infections of COVID-19 in Computed Tomography (CT) scan images leads to enhance treatment strategies and patient care, it faces many challenges, incl...