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
Challenges for machine learning in clinical translation of big data imaging studies.
Dinsdale NK. et al, (2022), Neuron
Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria
Bozek J. et al, (2022)
STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation
Dinsdale NK. et al, (2022), Medical Image Analysis, 102583 - 102583
FAST-IT: Find A Simple Test — In TIA (transient ischaemic attack): a prospective cohort study to develop a multivariable prediction model for diagnosis of TIA through proteomic discovery and candidate lipid mass spectrometry, neuroimaging and machine learning—study protocol
Milton AG. et al, (2022), BMJ Open, 12, e045908 - e045908
How certain are your uncertainties?
Whitbread L. and Jenkinson M., (2022)