David L. Wilson

This paper introduces a 3D U-Net with an anatomy-aware loss function for automated segmentation of human vagus nerve fascicles and epineurium from microCT images, achieving high accuracy and reducing anatomical errors.

This study compares the transport kinetics and pathways of three contrast agents in mouse brains using DCE-MRI, showing size-dependent differences in glymphatic system function.

The paper quantifies fascicular splitting and merging in human cervical vagus nerves, finding events occur every ~560 microns and may explain clinical response variability.

This paper improves long-range phasing and haplotype library imputation algorithms to handle large and heterogeneous datasets, achieving high accuracy with reduced computational time.

This paper introduces hybrid peeling, a method for efficiently calling, phasing, and imputing sequence data in pedigrees, showing improved accuracy and coverage.