Govind Nair

The paper identifies spatiotemporal diversity of primate brain cells during white matter inflammatory demyelination using a cross-modality approach to inform lesion detection and management in multiple sclerosis.

This paper describes a method to image frozen postmortem human tissue using MRI at sub-zero temperatures while maintaining tissue integrity and biosafety.

This study maps the SCLC tumor microenvironment and identifies cancer-associated fibroblasts as key drivers of neuroendocrine state plasticity and poor prognosis.

The paper introduces the PARE framework to remove confounders from dimension reduction methods, showing it can eliminate batch effects in single-cell data and separate clinical from technical variability in neuroimaging.

This study shows that brain MRI volumetric biases persist across different scanners in a harmonized MS study, with site explaining over 50% of volume variation.

This paper develops a 3T MRI method for high-resolution human whole-brain imaging and applies it to study multiple sclerosis pathology.

This paper develops a method to reduce technical variation in multisite MRI data by aligning intensity distributions across scanners.

The paper introduces a statistical technique to count distinct multiple sclerosis lesions from MRI data, showing it correlates with gold-standard counts and provides disease-related insights.