| 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 | 5 | 2021 |
| 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 | 5 | 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, V Calhoun, ... ArXiv, 2023 | 3 | 2023 |
| 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 | 3 | 2023 |
| 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 | 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 | 2 | 2023 |
| 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 (SNN) Workshop, 2023 | 1* | 2023 |
| Replication and Refinement of Brain Age Model for adolescent development B Ray, J Chen, Z Fu, P Suresh, B Thapaliya, B Farahdel, VD Calhoun, ... bioRxiv, 2023 | 1 | 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, ... arXiv preprint arXiv:2405.15805, 2024 | | 2024 |
| 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 | | 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 | | 2024 |
| Dynamic fusion of genomics and functional network connectivity in UK biobank reveals static and time-varying SNP manifolds J Chen, A Iraji, Z Fu, P Andrés-Camazón, B Thapaliya, J Liu, VD Calhoun medRxiv, 2024 | | 2024 |
| Efficient Federated Learning for distributed NeuroImaging Data B Thapaliya, R Ohib, EPT Geenjaar, J Liu, V Calhoun, S Plis bioRxiv, 2024.05. 14.594167, 2024 | | 2024 |
| Decentralized Sparse Federated Learning for Efficient Training on Distributed NeuroImaging Data B Thapaliya, R Ohib, E. Geenjaar, J Liu, VD Calhoun, S Plis Medical Imaging meets NeurIPS, NeurIPS 2023, https://neurips.cc//virtual …, 2023 | | 2023 |
| From Random to Relevant: Harnessing Salient Masks in Non-IID Federated Learning B Thapaliya, R Ohib, J Liu, V Calhoun, S Plis | | 2023 |
| 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 | | 2023 |
| Virtual Agents using Sequence to Sequence Models for Sentiment Analysis to deal with Anxiety and Depression T Bishal, S Niroulaa, B Lamsalb | | 2019 |
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Verified email at gsu.edu
