Dzung L. Pham

This study uses magnetic resonance elastography to measure mechanical properties of post-mortem human brain tissue and track changes over time, revealing stiffness and damping ratio trends.

This study shows that in vivo MRI can detect remyelination in a nonhuman primate model of MS with high accuracy, suggesting its potential for preclinical and clinical applications.

TAPAS is an automated thresholding algorithm for segmenting brain lesions in MS using probability maps, reducing error and bias compared to manual and group-level thresholding.

This paper introduces a framework for spatial normalization and voxelwise analysis of diffusion propagators across multiple MAP-MRI datasets, enabling detection of subtle microstructural changes.

MIMoSA improves automated white matter lesion segmentation in multiple sclerosis by integrating multimodal MRI data through inter-modal coupling regression and local logistic regression.