Graph-based deep learning models in the prediction of early-stage Alzheimers. - Bishal Thapaliya; Zundong Wu; Ram Sapkota; Bhaskar Ray; Pranav Suresh; Santosh Ghimire; Vince D. Calhoun; Jingyu Liu 001 (EMBC, 2024)

Multimodal Imaging Feature Extraction with Reference Canonical Correlation Analysis Underlying Intelligence. - Ram Sapkota; Bishal Thapaliya; Pranav Suresh; Bhaskar Ray; Vince D. Calhoun; Jingyu Liu 001 (ICASSP, 2024)

SELF-Clustering Graph Transformer Approach to Model Resting State Functional Brain Activity. - Bishal Thapaliya; Esra Akbas; Ram Sapkota; Bhaskar Ray; Vince D. Calhoun; Jingyu Liu 001 (ISBI, 2025)

Brain networks and intelligence: A graph neural network based approach to resting state fMRI data. - Bishal Thapaliya; Esra Akbas; Jiayu Chen 003; Ram Sapkota; Bhaskar Ray; Pranav Suresh; Vince D. Calhoun; Jingyu Liu 001 (Medical Image Anal., 2025)

DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks. - Bishal Thapaliya; Robyn L. Miller; Jiayu Chen 003; Yu-Ping Wang 002; Esra Akbas; Ram Sapkota; Bhaskar Ray; Pranav Suresh; Santosh Ghimire; Vince D. Calhoun; Jingyu Liu 001 (Medical Image Anal., 2025)