Bishal Thapaliya

According to our database, Bishal Thapaliya authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Efficient federated learning for distributed neuroimaging data.

Bishal Thapaliya, Riyasat Ohib, Eloy Geenjaar, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis

Frontiers Neuroinformatics, 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, Deepayan Chakraborty, Bilel Fehri

CoRR, 2024

DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks.

Bishal Thapaliya, Robyn L. Miller, Jiayu Chen, Yu-Ping Wang, Esra Akbas, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Santosh Ghimire, Vince D. Calhoun, Jingyu Liu

CoRR, 2024

Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning.

Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis

CoRR, 2024

Replication and Refinement of Brain Age Model for Adolescent Development.

Bhaskar Ray, Jiayu Chen, Zening Fu, Pranav Suresh, Bishal Thapaliya, Britny Farahdel, Vince D. Calhoun, Jingyu Liu

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data.

Bishal Thapaliya, Esra Akbas, Jiayu Chen, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Vince D. Calhoun, Jingyu Liu

CoRR, 2023

SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training.

Riyasat Ohib, Bishal Thapaliya, Pratyush Gaggenapalli, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis

CoRR, 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, Kuaikuai Duan, Vince D. Calhoun, Jingyu Liu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Decentralized Parallel Independent Component Analysis for Multimodal, Multisite Data.

Chan Aek Panichvatana, Jiayu Chen, Bradley T. Baker, Bishal Thapaliya, Vince D. Calhoun, Jingyu Liu

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021

Environmental and genome-wide association study on children anxiety and depression.

Bishal Thapaliya, Vince D. Calhoun, Jingyu Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Confirmatory Factor Analysis on Mental Health Status using ABCD Cohort.

Britny Farahdel, Bishal Thapaliya, Pranav Suresh, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021