| Environmental and genome-wide association study on children anxiety and depression B Thapaliya, VD Calhoun, J Liu 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 10 | 2021 |
| Brain networks and intelligence: A graph neural network based approach to resting state fmri data B Thapaliya, E Akbas, J Chen, R Sapkota, B Ray, P Suresh, VD Calhoun, ... Medical Image Analysis 101, 103433, 2025 | 8 | 2025 |
| Replication and refinement of brain age model for adolescent development B Ray, J Chen, Z Fu, P Suresh, B Thapaliya, B Farahdel, VD Calhoun, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 8 | 2024 |
| Multimodal imaging feature extraction with reference canonical correlation analysis underlying intelligence R Sapkota, B Thapaliya, P Suresh, B Ray, VD Calhoun, J Liu ICASSP 2024-2024 IEEE international conference on acoustics, speech and …, 2024 | 8 | 2024 |
| Confirmatory factor analysis on mental health status using abcd cohort B Farahdel, B Thapaliya, P Suresh, B Ray, VD Calhoun, J Liu 2021 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2021 | 8 | 2021 |
| Cross-continental environmental and genome-wide association study on children and adolescent anxiety and depression B Thapaliya, B Ray, B Farahdel, P Suresh, R Sapkota, B Holla, ... Frontiers in Psychiatry 15, 1384298, 2024 | 7 | 2024 |
| Effective training strategy for nn models of working memory classification with limited samples P Suresh, B Ray, B Thapaliya, B Farahdel, B Kazemivash, J Chen, ... 2023 IEEE 20th international symposium on biomedical imaging (ISBI), 1-4, 2023 | 6 | 2023 |
| DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks B Thapaliya, R Miller, J Chen, YP Wang, E Akbas, R Sapkota, B Ray, ... Medical Image Analysis, 103462, 2025 | 2 | 2025 |
| Adolescent brain maturation associated with environmental factors: a multivariate analysis B Ray, D Jensen, P Suresh, B Thapaliya, R Sapkota, B Farahdel, Z Fu, ... Frontiers in Neuroimaging 3, 1390409, 2024 | 2 | 2024 |
| Graph-based deep learning models in the prediction of early-stage Alzheimers B Thapaliya, Z Wu, R Sapkota, B Ray, P Suresh, S Ghimire, V Calhoun, ... 2024 46th Annual International Conference of the IEEE Engineering in …, 2024 | 2 | 2024 |
| “Urban-Satellite” estimates in the ABCD Study: Linking Neuroimaging and Mental Health to Satellite Imagery Measurements of Macro Environmental Factors R Goldblatt, N Holz, G Tate, K Sherman, S Ghebremicael, SS Bhuyan, ... medRxiv, 2023.11. 06.23298044, 2024 | 2 | 2024 |
| SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training B Thapaliya, R Ohib, P Gaggenapalli, J Liu, V Calhoun, S Plis ICLR Sparsity in Neural Networks, ICLR 2023, 2023 | 2* | 2023 |
| Linking neuroimaging and mental health data from the ABCD Study to UrbanSat measurements of macro environmental factors R Goldblatt, N Holz, GW Tate, K Thapaliya, Bishal, Sherman, ... Nature Mental Health, 1-13, 2024 | 1 | 2024 |
| Efficient federated learning for distributed neuroimaging data B Thapaliya, R Ohib, E Geenjaar, J Liu, V Calhoun, SM Plis Frontiers in Neuroinformatics 18, 1430987, 2024 | 1 | 2024 |
| Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning R Ohib, B Thapaliya, GK Dziugaite, J Liu, V Calhoun, S Plis arXiv preprint arXiv:2405.09037, 2024 | 1 | 2024 |
| Decentralized parallel independent component analysis for multimodal, multisite data CA Panichvatana, J Chen, B Baker, B Thapaliya, V Calhoun, J Liu 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 1 | 2023 |
| Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity B Thapaliya, E Akbas, R Sapkota, B Ray, V Calhoun, J Liu arXiv preprint arXiv:2501.16345, 2025 | | 2025 |
| Multimodal Brain Growth Patterns: Insights from Canonical Correlation Analysis and Deep Canonical Correlation Analysis with Auto-Encoder R Sapkota, B Thapaliya, B Ray, P Suresh, J Liu | | 2025 |
| ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification B Thapaliya, A Nguyen, Y Lu, T Xie, I Grudetskyi, F Lin, A Valkanas, J Liu, ... arXiv preprint arXiv:2410.11765, 2024 | | 2024 |
| Brain community detection in the general children population B Farahdel, B Thapaliya, P Suresh, B Ray, VD Calhoun, J Liu 2024 46th Annual International Conference of the IEEE Engineering in …, 2024 | | 2024 |