Dr Mariusz Bajger

Lecturer

College of Science and Engineering

place Tonsley (4.09)
GPO Box 2100, Adelaide 5001, South Australia

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 1999 he is a lecturer in Computer Science 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 digital pathology image analysis.

Qualifications
PhD Mathematics, University of Queensland, Australia, 1996.
MSc Applied Mathematics, Jagiellonian University, Poland, 1988.
Honours, awards and grants
  • Faculty of Science and Engineering¬†Reinventing Teaching and Learning Grant, 2016
  • 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 the best paper in Functional Equations written by Polish author in 2004.
Research expertise
Artificial intelligence and image processing
Other medical and health sciences
Research interests

Medical Image Analysis, mammography, image processing, image segmentation, pattern recognition.

Topic coordinator
MATH1122 Mathematics 1B
COMP2781 Computer Mathematics
COMP8781 Computer Mathematics GE
COMP8102 Computer Programming 1 GE
COMP1102 Computer Programming 1
COMP7702 Pattern Recognition
Topic lecturer
MATH1122 Mathematics 1B
COMP2781 Computer Mathematics
COMP8781 Computer Mathematics GE
COMP8102 Computer Programming 1 GE
COMP1102 Computer Programming 1
COMP7702 Pattern Recognition
Supervisory interests
Artificial intelligence and image processing
Medical image analysis
Medical image processing
Pattern recognition
Higher degree by research supervision
Current
Principal supervisor: Image Analysis (1)
Associate supervisor: Mammography (1)
Completion
Associate supervisor: Mathematical Modeling (1), Medical Image Analysis (2)
Publications
Expert for media contact
Computer Aided Screening Mammography
Image Analysis
Available for contact via
Or contact the media team
+61 8 82012092
0427 398 713
Interests
  • Computer Aided Screening Mammography
  • Image Analysis
Further information

Currently supervised (or co-supervised) research projects

  • Feature generation and selection for classification of ROI's in mammography images of dense breasts (Sagar Shrestha, MIT project)
  • Effects of preprocessing on CNN analysis of breast cancer histopathology images (Kevin Clark, Honours project)
  • Segmentation methods for digital imaging using shape priors (Ratna Saha, PhD candidate)
  • Efficient texture descriptors for detection of masses in dense regions of mammograms (Shelda Sajeev, PhD candidate)¬†

Students interested in research towards Honours, Master or PhD degree in the areas outlined in the projects please contact Mariusz by email/phone. Other research projects in the area of Medical Image Analysis/Pattern Recognition may also be available.

CT Segmentation (png)

Mass Detection in Dense Breasts (png)

Publications (pdf)

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