Avinash Kumar Sharma

The paper introduces graph diffusion wavelets to estimate functional connectivity from structural connectivity, achieving high correlation and revealing power-law diffusion scales and frontal pole dominance.

This paper introduces A-GHN, an attention-based fusion of multiple GraphHeat networks to map structural to functional brain connectivity using resting-state fMRI data from the HCP.

The paper introduces a temporal Multiple Kernel Learning model to predict resting-state functional connectivity by characterizing fMRI connectivity dynamics and shows improved performance over existing methods.