BSc BE DPhil
Professor of Neuroimaging
- Head of Structural Modelling and Analysis
There are two major themes to my research: (i) multimodal modelling of populations to describe disease processes and apply to individual patient diagnoses; and (ii) structural segmentation and analysis of brain anatomy and pathology, especially sub-cortical structures, lesions and their relationship with disease.
Awards, Training and Qualifications
- 2014- 2016 Thomson Reuters' list of Highly Cited Researchers
- 2005- 2010 David Phillips Fellowship, BBSRC
- 1995- 1999 DPhil, University of Oxford
- 1989- 1993 BE - Electrical and Electronic (Hons I),University of Adelaide
- 1989- 1994 BSc (Hons I), University of Adelaide
One-year changes in brain microstructure differentiate preclinical Huntington's disease stages.
Pflanz CP. et al, (2019), Neuroimage Clin, 25
Tensor Image Registration Library: Automated Non-Linear Registration of Sparsely Sampled Histological Specimens to Post-Mortem MRI of the Whole Human Brain
Huszar IN. et al, (2019)
BIANCA for an automatic detection of multiple sclerosis lesions using machine learning
Gentile G. et al, (2019)
Normal appearing white matter and lesional integrity in MOG-Ab disease and MS: a diffusion-weighted imaging study
Messina S. et al, (2019)
Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding.
Sundaresan V. et al, (2019), Neuroimage, 202