Dr Mariusz Bajger

Lecturer

College of Science and Engineering

+61 8 8201 3984

mariusz.bajger@flinders.edu.au

Tonsley Building

GPO Box 2100, ADELAIDE, SA, 5001

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 medical image analysis, data science, network science, image segmentation, digital pathology, computer vision.

Qualifications

PhD Mathematics, University of Queensland, Australia, 1996.
MSc Applied Mathematics, Jagiellonian University, Poland, 1988.

Honours, awards and grants

Commission on Excellence and Innovation in Health (CEIH) Grant, 2023
Channel 7 Children Research Foundation Grant, 2022
Freemason’s Centre for Male Health and Wellbeing Grant, 2021-2022
NeuroSurgical Research Foundation Grant, 2020-2021
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.

Topic coordinator

COMP8781 Computer Mathematics GE

ENGR8800 Engineering Programming GE

COMP2781 Computer Mathematics

ENGR1721 Engineering Programming

COMP2712 Neural Networks and Machine Learning

Topic lecturer

COMP2712 Neural Networks and Machine Learning

COMP2781 Computer Mathematics

ENGR1721 Engineering Programming

COMP8781 Computer Mathematics GE

ENGR8800 Engineering Programming GE

Professional engagement

Professional memberships

Australian Pattern Recognition Society (APRS)
Association for Computing Machinery (ACM)
Australian Mathematical Society (AMS)

Journal reviewer (see Publons for details)

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Phone

Interests

Image Analysis

Further information

Recently supervised (or co-supervised) research projects

Developing deep learning algorithms for Gleason grading of prostate cancer (Zhi Lin, BENG Honours)
Three-dimensional dual-energy CT baggage scanner image segmentation toolkit (John Dunstan, BENG Honours)
Feature generation and selection for classification of ROI's in mammography images of dense breasts (Sagar Shrestha, MIT)
Effects of preprocessing on CNN analysis of breast cancer histopathology images (Kevin Clark, BENG Honours)
Segmentation methods for digital imaging using shape priors (Ratna Saha, PhD)
Efficient texture descriptors for detection of masses in dense regions of mammograms (Shelda Sajeev, PhD)

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

CT Segmentation (png)

Mass Detection in Dense Breasts (png)

Publications (pdf)