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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BIANCA-MS: An optimized tool for automated multiple sclerosis lesion segmentation.
Journal article
Gentile G. et al, (2023), Hum Brain Mapp
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Subthalamic nucleus shows opposite functional connectivity pattern in Huntington's and Parkinson's disease.
Journal article
Evangelisti S. et al, (2023), Brain Commun, 5
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Challenges for machine learning in clinical translation of big data imaging studies.
Journal article
Dinsdale NK. et al, (2022), Neuron
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Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets.
Journal article
Bordin V. et al, (2021), Neuroimage, 237
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Machine Learning Quantitation of Cardiovascular and Cerebrovascular Disease: A Systematic Review of Clinical Applications
Journal article
Boyd C. et al, (2021), DIAGNOSTICS, 11