معرفی
Mariusz Bajger is a Lecturer at Flinders University's College of Science and Engineering since 1999, with research contributions to medical image analysis and pattern recognition. He holds a PhD in Mathematics from the University of Queensland (1996) and an MSc in Applied Mathematics from Jagiellonian University (1988).
- Qualifications
- PhD Mathematics, University of Queensland, 1996
- MSc Applied Mathematics, Jagiellonian University, 1988
His research focuses on applying mathematical and computational methods to medical imaging challenges, particularly breast cancer detection in mammograms, whole-body CT segmentation, and digital pathology. He has developed deep learning algorithms for prostate cancer Gleason grading, feature selection techniques for mammography, and CycleGAN-based MRI-to-CT translation frameworks.
Recent publications highlight his work in network science applications for healthcare systems and generative adversarial networks in spine imaging. Key collaborators include D. Ben-Tovim, M. Roberts, and G. Hinton.
- Scientific Awards
- Commission on Excellence and Innovation in Health Grant (2023)
- Channel 7 Children Research Foundation Grant (2022)
- Freemason’s Centre for Male Health Grant (2021-2022)
- 3rd prize in M. Kuczma's competition (2004)
He has supervised 6 research students including Ratna Saha (PhD in segmentation methods) and Shelda Sajeev (PhD in texture descriptors for mammography). Active grants span 2006-2023, focusing on breast cancer, male health, and surgical innovation.
