Sanjay Ghosh

Decision Voting Based Multiscale Convolutional Learning of Brain Networks With Explainability

This paper introduces a multiscale GCN framework for brain network analysis that integrates structural and functional connectivity data, achieving 71.59% accuracy in schizophrenia classification with explainable insights.

A Joint Subspace Mapping Between Structural and Functional Brain Connectomes

This paper introduces a computational framework to reconstruct functional connectivity from structural connectomes using joint subspace eigenmodes, showing competitive performance and better interpretability.

Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models

The paper develops a hierarchical Bayesian model for EEG source reconstruction that jointly estimates full-structure noise covariance matrices, improving accuracy in real-world scenarios with non-diagonal noise.

Multi-tasking Deep Network for Tinnitus Classification and Severity Prediction from Multimodal Structural Images

The paper develops a deep multi-task multi-modal framework to classify tinnitus and predict its severity using structural MRI data, outperforming existing methods.