Melissa L. Martin

This study links individual mobility patterns to mood, sleep, and brain connectivity by identifying unique mobility footprints.

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

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.

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