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2020 – today
- 2025
[j2]Bishal Thapaliya, Esra Akbas, Jiayu Chen, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Vince D. Calhoun, Jingyu Liu:
Brain networks and intelligence: A graph neural network based approach to resting state fMRI data. Medical Image Anal. 101: 103433 (2025)- 2024
- [j1]Bishal Thapaliya, Riyasat Ohib, Eloy Geenjaar, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis:
Efficient federated learning for distributed neuroimaging data. Frontiers Neuroinformatics 18 (2024) - [c8]Britny Farahdel, Bishal Thapaliya, Pranav Suresh, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu:
Brain community detection in the general children population. EMBC 2024: 1-6 - [c7]Bishal Thapaliya, Zundong Wu, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Santosh Ghimire, Vince D. Calhoun, Jingyu Liu:
Graph-based deep learning models in the prediction of early-stage Alzheimers. EMBC 2024: 1-5 - [c6]Ram Sapkota, Bishal Thapaliya, Pranav Suresh, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu:
Multimodal Imaging Feature Extraction with Reference Canonical Correlation Analysis Underlying Intelligence. ICASSP 2024: 2071-2075 - [c5]Bhaskar Ray, Jiayu Chen, Zening Fu, Pranav Suresh, Bishal Thapaliya, Britny Farahdel, Vince D. Calhoun, Jingyu Liu:
Replication and Refinement of Brain Age Model for Adolescent Development. ISBI 2024: 1-5 - [i5]Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis:
Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning. CoRR abs/2405.09037 (2024) - [i4]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:
DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks. CoRR abs/2405.15805 (2024) - [i3]Bishal Thapaliya, Anh Nguyen, Yao Lu, Tian Xie, Igor Grudetskyi, Fudong Lin, Antonios Valkanas, Jingyu Liu, Deepayan Chakraborty, Bilel Fehri:
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification. CoRR abs/2410.11765 (2024) - 2023
- [c4]Chan Aek Panichvatana, Jiayu Chen, Bradley T. Baker, Bishal Thapaliya, Vince D. Calhoun
, Jingyu Liu:
Decentralized Parallel Independent Component Analysis for Multimodal, Multisite Data. EMBC 2023: 1-4 - [c3]Pranav Suresh, Bhaskar Ray, Bishal Thapaliya, Britny Farahdel, Behnam Kazemivash, Jiayu Chen, Kuaikuai Duan, Vince D. Calhoun, Jingyu Liu:
Effective Training Strategy for NN Models of Working Memory Classification with Limited Samples. ISBI 2023: 1-4 - [i2]Riyasat Ohib, Bishal Thapaliya, Pratyush Gaggenapalli, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis:
SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training. CoRR abs/2304.07488 (2023) - [i1]Bishal Thapaliya, Esra Akbas, Jiayu Chen, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Vince D. Calhoun, Jingyu Liu:
Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data. CoRR abs/2311.03520 (2023) - 2021
- [c2]Bishal Thapaliya, Vince D. Calhoun, Jingyu Liu:
Environmental and genome-wide association study on children anxiety and depression. BIBM 2021: 2330-2337 - [c1]Britny Farahdel, Bishal Thapaliya, Pranav Suresh, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu:
Confirmatory Factor Analysis on Mental Health Status using ABCD Cohort. BIBM 2021: 3540-3547
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