Professor of Biomedical Imaging
Michael has a background in the mathematical modelling of physiology, Bayesian inference method, machine learning techniques, and the development of image analysis algorithms. Much of his recent research has focused on the quantitative spatial mapping of physiological quantities, such as perfusion, from medical imaging devices for use in clinical research and practice.
Michael is concerned not only with developing new methods for the analysis of data, but their wider use in the research community and beyond. To this end his group develops software and associated documentation and training from their novel research. This includes a GUI-based package for the analysis of a range of physiological imaging data (www.quantiphyse.org) and a number of tools within the FMRIB Software Library (www.fmrib.ox.ac.uk/fsl) used in the Neuroimaging community.