Confirmatory Factor Analysis on Mental Health Status using ABCD Cohort. - Britny Farahdel; Bishal Thapaliya; Pranav Suresh; Bhaskar Ray; Vince D. Calhoun; Jingyu Liu 001 (BIBM, 2021)

Environmental and genome-wide association study on children anxiety and depression. - Bishal Thapaliya; Vince D. Calhoun; Jingyu Liu 001 (BIBM, 2021)

Decentralized Parallel Independent Component Analysis for Multimodal, Multisite Data. - Chan Aek Panichvatana; Jiayu Chen 003; Bradley T. Baker; Bishal Thapaliya; Vince D. Calhoun; Jingyu Liu 001 (EMBC, 2023)

Effective Training Strategy for NN Models of Working Memory Classification with Limited Samples. - Pranav Suresh; Bhaskar Ray; Bishal Thapaliya; Britny Farahdel; Behnam Kazemivash; Jiayu Chen 003; Kuaikuai Duan; Vince D. Calhoun; Jingyu Liu 001 (ISBI, 2023)

SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training. - Riyasat Ohib; Bishal Thapaliya; Pratyush Gaggenapalli; Jingyu Liu 001; Vince D. Calhoun; Sergey M. Plis (CoRR, 2023)

Brain community detection in the general children population. - Britny Farahdel; Bishal Thapaliya; Pranav Suresh; Bhaskar Ray; Vince D. Calhoun; Jingyu Liu 001 (EMBC, 2024)

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)

Replication and Refinement of Brain Age Model for Adolescent Development. - Bhaskar Ray; Jiayu Chen 003; Zening Fu; Pranav Suresh; Bishal Thapaliya; Britny Farahdel; Vince D. Calhoun; Jingyu Liu 001 (ISBI, 2024)

Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning. - Riyasat Ohib; Bishal Thapaliya; Gintare Karolina Dziugaite; Jingyu Liu 001; Vince D. Calhoun; Sergey M. Plis (CoRR, 2024)

ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification. - Bishal Thapaliya; Anh Nguyen; Yao Lu; Tian Xie; Igor Grudetskyi; Fudong Lin; Antonios Valkanas; Jingyu Liu 001; Deepayan Chakraborty; Bilel Fehri (CoRR, 2024)

Efficient federated learning for distributed neuroimaging data. - Bishal Thapaliya; Riyasat Ohib; Eloy Geenjaar; Jingyu Liu 001; Vince D. Calhoun; Sergey M. Plis (Frontiers Neuroinformatics, 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)