Flinders University
Dr Mariusz Bajger
Dr
Mariusz
Bajger
Flinders University
http://www.flinders.edu.au/people/mariusz.bajger
Mariusz Bajger
| Position/s: | Lecturer School of Computer Science, Engineering and Mathematics |
| Phone: | +61 8 82013984 |
| Email: | mariusz.bajger@flinders.edu.au |
| Location: | Information, Science & Technology (226) |
| Postal address: | GPO Box 2100, Adelaide 5001, South Australia |
Biography
Mariusz Bajger received the M.Sc. in Applied Mathematics degree from the Jagiellonian University in Cracow (Poland) in 1988 and the PhD degree in mathematics from the University of Queensland in 1996. Since 2002 he is a full-time lecturer with the School of Computer Science, Engineering and Mathematics at the Flinders University. His research interests include applications of mathematics and computer science to problems in medical image analysis and pattern recognition with focus on breast cancer detection in screening mammograms, whole-body CT segmentation and computational human anatomy,
Qualifications
PhD Mathematics, University of Queensland, Australia, 1996.
MSc Applied Mathematics, Jagiellonian University, Poland, 1988.
Honours, awards and grants
- Channel 7 Children's Research Foundation grant, 2012-2013
- Lyn Wrigley Breast Cancer Research & Development Fund, Breast Cancer Research Grant, 2011
- Lyn Wrigley Breast Cancer Research & Development Fund, Breast Cancer Research Grant, 2010
- Lyn Wrigley Breast Cancer Research & Development Fund, Breast Cancer Research Grant, 2009
- National Breast Cancer Foundation grant 2006-2008
- Lyn Wrigley Breast Cancer Research & Development Fund, Breast Cancer Research Grant, 2007
- 3rd prize in M. Kuczma's competition for best paper in Functional Equations written by Polish author in 2004.
Key responsibilities
Director of Postgraduate Coursework Studies (Information Technology and Software Engineering)
- Computer Science/Information Technology Honours
- Master of Information Technology
- Master of Science (Computer Science)
- Graduate Diploma in Information Technology
- Graduate Certificate in Information Technology
Teaching
Research and consultancy
Research interests
Medical Image Analysis, in particular mammography and computational anatomy.
Publications
Book chapters
Omondi, A.R., Rajapakse, J.C., & Bajger, M., 2006. FPGA Neurocomputers. In FPGA Implementations of Neural Networks. Dordrecht, The Netherlands: Springer, pp. 1-36.
Refereed journal articles
Bajger, M. & Omondi, A., 2008. Low-error, high-speed approximation of the sigmoid function for large FPGA Implementations. Journal of Signal Processing Systems, 52(2), 137-151.
Ma, F., Bajger, M., Slavotinek, J.P., & Bottema, M.J., 2007. Two graph theory based methods for identifying the pectoral muscle in mammograms. Pattern Recognition, 40(9), 2592-2602.
Bajger, M., 2004. On the composite Pexider equation modulo a subgroup. Publicationes Mathematicae-Debrecen, 64(1-2), 39-61.
Refereed conference papers
Lee, G.N., Bajger, M., & Caon, M., 2012. Multi-organ segmentation of CT images using statistical region merging. Proceedings of the Ninth IASTED International Conference on Biomedical Engineering, 199-206.
Ma, F., Bajger, M., Williams, S., & Bottema, M.J., 2010. Improved detection of cancer in screening mammograms by temporal comparison. Lecture Notes in Computer Science: Digital Mammography IWDM 2010, 6136, 752-759.
Bajger, M., Ma, F., Williams, S., & Bottema, M.J., 2010. Mammographic mass detection with statistical region merging. Proceedings: DICTA 2010, 27-32.
Ma, F., Bajger, M., & Bottema, M.J., 2009. Automatic mass segmentation based on adaptive pyramid and sublevel set analysis. DICTA 2009 Digital Image Computing Techniques and Applications, 236-241.
Bajger, M., Ma, F., & Bottema, M.J., 2009. Automatic tuning of MST segmentation of mammograms for registration and mass detection algorithms. DICTA 2009 Digital Image Computing Techniques and Applications, 400-407.
Ma, F., Bajger, M., & Bottema, M.J., 2008. Temporal analysis of mammograms based on graph matching. Digital Mammography (Lecture Notes in Computer Science series), 5116, 158-165.
Book chapters
Omondi, A.R., Rajapakse, J.C., & Bajger, M., 2006. FPGA Neurocomputers. In FPGA Implementations of Neural Networks. Dordrecht, The Netherlands: Springer, pp. 1-36.
Refereed journal articles
Bajger, M. & Omondi, A., 2008. Low-error, high-speed approximation of the sigmoid function for large FPGA Implementations. Journal of Signal Processing Systems, 52(2), 137-151.
Ma, F., Bajger, M., Slavotinek, J.P., & Bottema, M.J., 2007. Two graph theory based methods for identifying the pectoral muscle in mammograms. Pattern Recognition, 40(9), 2592-2602.
Bajger, M., 2004. On the composite Pexider equation modulo a subgroup. Publicationes Mathematicae-Debrecen, 64(1-2), 39-61.
Refereed conference papers
Lee, G.N., Bajger, M., & Caon, M., 2012. Multi-organ segmentation of CT images using statistical region merging. Proceedings of the Ninth IASTED International Conference on Biomedical Engineering, 199-206.
Bajger, M., Ma, F., Williams, S., & Bottema, M.J., 2010. Mammographic mass detection with statistical region merging. Proceedings: DICTA 2010, 27-32.
Ma, F., Bajger, M., Williams, S., & Bottema, M.J., 2010. Improved detection of cancer in screening mammograms by temporal comparison. Lecture Notes in Computer Science: Digital Mammography IWDM 2010, 6136, 752-759.
Ma, F., Bajger, M., & Bottema, M.J., 2009. Automatic mass segmentation based on adaptive pyramid and sublevel set analysis. DICTA 2009 Digital Image Computing Techniques and Applications, 236-241.
Bajger, M., Ma, F., & Bottema, M.J., 2009. Automatic tuning of MST segmentation of mammograms for registration and mass detection algorithms. DICTA 2009 Digital Image Computing Techniques and Applications, 400-407.
Ma, F., Bajger, M., & Bottema, M.J., 2008. Temporal analysis of mammograms based on graph matching. Digital Mammography (Lecture Notes in Computer Science series), 5116, 158-165.
Susukida, H., Ma, F., & Bajger, M., 2008. Automatic tuning of a graph-based image segmentation method for digital mammography applications. 2008 5th IEEE international symposium on biomedical imaging: From nano to macro, 4540939, 89-92.
Ma, F., Bajger, M., & Bottema, M.J., 2007. Robustness of two methods for segmenting salient features in screening mammograms. Proceedings of DICTA, 112-117.
Bajger, M. & Omondi, A.R., 2006. Implementation of square-root and exponential functions for large FPGAs. Lecture Notes in Computer Science, 4186, 6-23.
Ma, F., Bajger, M., Slavotinek, J.P., & Bottema, M.J., 2006. Validation of Graph Theoretic Segmentation of the Pectoral Muscle. Digital Mammography - 8th International Workshop, IWDM 2006, 4046/2006, 642-649.
Ma, F., Bajger, M., & Bottema, M.J., 2005. Extracting the pectoral muscle in screening mammograms using a graph pyramid. Proceedings of the APRS Workshop on Digital Image Computing (WDIC) 2005.
Bajger, M., Ma, F., & Bottema, M.J., 2005. Minimum spanning trees and active contours for identification of the pectoral muscle in screening mamograms. Proceedings Digital Image Computing: Techniques and Applications DICTA 2005.
Conference publications
Sidik, W., Bottema, M.J., & Bajger, M., 2011. A Cross-Species Avian Human Influenza Epidemic Model: Effects of some control strategies. Proceedings of ANZIAM Conference.
Sidik, W., Bottema, M.J., & Bajger, M., 2011. A Cross-Species Avian-Human Influenza Epidemic Model: Economic trade off on the disease spread and controls. Proceedings of AICST Conference.
Sidik, W., Bottema, M.J., & Bajger, M., 2011. A Cross-Species Avian-Human Influenza Epidemic Model: Transport related co-infection. Proceedings of 7th ICIAM Conference.
Lee, G.N., Bajger, M., & Caon, M., 2011. CAnat: An Algorithm for the Automatic Segmentation of Anatomy of Medical Images. EPSM-ABEC 2011 Conference, 34(4).
Bottema, M.J., Bajger, M., ma, F., & Williams, S., 2011. Mathematics in medical image analysis: a focus on mammography. Proceedings of the 6th SEAMS-GMU International Conference on Mathematics and Applications.
Sidik, W., Bottema, M.J., & Bajger, M., 2011. A Cross-Species Avian-Human Influenza Epidemic Model: Effects of human behaviours on the disease spread and control. Proceedings of the 6th SEAMS-GMU International Conference on Mathematics and Applications.
Sidik, W., Bottema, M.J., & Bajger, M., 2010. A Cross-Species Avian Human Influenza Epidemic Model: Disease Spread. Proceedings of 54th Australian Mathematical Society Conference.
Ma, F., Bajger, M., & Bottema, M.J., 2008. A graph matching based automatic regional registration method for sequential mammogram analysis. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 6915(69151Z).
Goel, N., Bajger, M., & Tomczak, M., 2007. Civilizations of the world, a new electronic time atlas concept. INTED2007 Proceedings.
Professional and community engagement
Professional memberships:
- Australian Pattern Recognition Society
- Association for Computing Machinery
Expertise for media contact
- Image Analysis
- Computer Aided Screening Mammography
