معرفی
Mark Jenkinson - Professor of Neuro-Imaging
Mark Jenkinson is a Professor of Neuro-Imaging at the University of Adelaide, affiliated with the School of Computer and Mathematical Sciences and the Australian Institute for Machine Learning. His primary focus lies in advancing medical image analysis methodologies, particularly in MRI brain imaging. He specializes in developing deep learning, statistical, and model-based techniques for tasks such as anatomical/lesion segmentation, big data analysis, normative modeling, and motion correction.
Research Interests:
- Medical image segmentation and registration
- Deep learning applications in neuroimaging
- MRI artifact reduction and harmonization
- Clinical fMRI for language mapping
- Biomarker-driven disease progression analysis (e.g., Parkinson’s, multiple sclerosis)
Key Contributions:
- Development of tools like BIANCA-MS for automated lesion segmentation
- Pioneering work on diffeomorphic networks for brain template creation
- Advances in multi-site MRI harmonisation frameworks (e.g., FedHarmony)
Affiliations:
- Faculty of Sciences, Engineering and Technology
- Australian Institute for Machine Learning
Grants/Supervision: Eligible to supervise Masters and PhD students in computational neuroscience and medical AI. Active in collaborative projects involving international imaging consortia.
Labs/Teams: Leads interdisciplinary teams integrating computer science and clinical neuroimaging for translational research.
