Caitlin K. Rollins

This study uses fetal MRI to examine subplate development in congenital heart disease, finding global reductions and regional deviations linked to neurodevelopmental outcomes.

This paper quantifies regional subplate morphology in fetal brains using MRI, showing regional differences, growth patterns, and hemispheric asymmetries that suggest organized developmental programs.

This paper develops a multi-task deep learning method to segment and parcellate fetal brain structures from diffusion MRI, achieving high accuracy in tissue segmentation, tract segmentation, and parcellation.