Hedley C A Emsley

This paper evaluates automated white matter lesion segmentation methods in Parkinson's disease and healthy controls, finding U-Net-pgs to be the most accurate and reliable approach across multiple metrics and datasets.

This study applies voxel-wise tracer kinetic model selection to DCE-MRI data to improve sensitivity in differentiating normal from pathological tissue compared to the Patlak model.

This paper introduces a hierarchical Bayesian modelling approach for diffusion and exchange MRI data, showing improved accuracy and noise resilience compared to traditional least-squares methods.