Bishal Thapaliya

Orcid: 0000-0003-0877-7730

According to our database1, Bishal Thapaliya authored at least 14 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
2025
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Legend:

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Links

On csauthors.net:

Bibliography

2025
Brain networks and intelligence: A graph neural network based approach to resting state fMRI data.
Medical Image Anal., 2025

2024
Efficient federated learning for distributed neuroimaging data.
Frontiers Neuroinformatics, 2024

ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification.
CoRR, 2024

DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks.
CoRR, 2024

Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning.
CoRR, 2024

Replication and Refinement of Brain Age Model for Adolescent Development.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Multimodal Imaging Feature Extraction with Reference Canonical Correlation Analysis Underlying Intelligence.
Proceedings of the IEEE International Conference on Acoustics, 2024

Graph-based deep learning models in the prediction of early-stage Alzheimers.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Brain community detection in the general children population.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training.
CoRR, 2023

Effective Training Strategy for NN Models of Working Memory Classification with Limited Samples.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Decentralized Parallel Independent Component Analysis for Multimodal, Multisite Data.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Confirmatory Factor Analysis on Mental Health Status using ABCD Cohort.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021


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