Research
Teaching
- MRI Graduate Teaching Programme (internal Oxford course)
- FSL Course (external course)
FSL - FMRIB Software Library
Mark Jenkinson
BSc BE DPhil
Professor of Neuroimaging
- Head of Structural Modelling and Analysis
Research Summary
Structural Modelling and Analysis Group
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
Recent publications
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STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation
Journal article
Dinsdale NK. et al, (2022), Medical Image Analysis, 102583 - 102583
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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
Journal article
Milton AG. et al, (2022), BMJ Open, 12, e045908 - e045908
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How certain are your uncertainties?
Preprint
Whitbread L. and Jenkinson M., (2022)
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Mutual information neural estimation for unsupervised multi-modal
registration of brain images
Preprint
Snaauw G. et al, (2022)
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Uncertainty Categories in Medical Image Segmentation: A Study of Source-Related Diversity
Chapter
Whitbread L. and Jenkinson M., (2022), Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 26 - 35