Ram Sapkota

According to our database, Ram Sapkota authored at least 6 papers between 2024 and 2025.

Collaborative distances:

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

2025

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

Medical Image Anal., 2025

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

Medical Image Anal., 2025

Multimodal Brain Growth Patterns: Insights from Canonical Correlation Analysis and Deep Canonical Correlation Analysis with Auto-Encoder.

Ram Sapkota, Bishal Thapaliya, Bhaskar Ray, Pranav Suresh, Jingyu Liu

Inf., 2025

SELF-Clustering Graph Transformer Approach to Model Resting State Functional Brain Activity.

Bishal Thapaliya, Esra Akbas, Ram Sapkota, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

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

Graph-based deep learning models in the prediction of early-stage Alzheimers.

Bishal Thapaliya, Zundong Wu, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Santosh Ghimire, Vince D. Calhoun, Jingyu Liu

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024