Paul Aljabar

My research centres on developing algorithms for analysing medical images of the brain such as MR data. The main goal is to characterise salient features of the anatomy and the development or degeneration of the brain. I am interested in combining the established and fundamental tools of medical image processing, such as registration and anatomical segmentation, with machine learning methods in order to develop novel methodologies for group and longitudinal studies using MR data sets. The ultimate aim of such studies is to provide population-level representations that are relevant to clinical and neuroscientific hypotheses. In particular, I am keen on finding out how fundamental medical image processing methods may be informed by, as well as help create, population-level representations.