Mark A. Hoggarth

This paper introduces an fMRI-based method to map spinal cord vascular reactivity, showing distinct gray matter regions associated with arterial supply territories.

The paper introduces EPISeg, a deep learning model for automated spinal cord segmentation on gradient-echo EPI data, showing improved performance over existing methods.

This study investigates spinal cord fMRI activation during hand-grasping tasks, finding lateralized activity in C5-C8 with differences based on analysis methods and experimental parameters.

This study examines how variability in manually contoured spinal cord masks affects fMRI co-registration and activation mapping, finding that rater and dataset differences significantly impact spatial normalization and signal contrast.