Research output per year
Research output per year
Personal profile
Research 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 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.
Research Interests
Medical Image Analysis, mammography, image processing, image segmentation, pattern recognition.
Completed Supervisions
Principal Supervisions:
- Medical Image Analysis (1)
Associate Supervisions:
- Medical Image Analysis (2)
- Mathematical Modeling (1)
Supervision
- Registered
Research Areas
- Digital health
Supervisory Interests
- Medical image analysis
- Pattern recognition
- Medical image processing
- Artificial intelligence and image processing
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Novel Application of a Mutual Information Measure for Analysing Temporal Changes in Healthcare Network Graphs
Ben-Tovim, D., Bajger, M. & Qin, S., 2023, Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Proceedings. Yang, X., Suhartanto, H., Wang, G., Wang, B., Jiang, J., Li, B., Zhu, H. & Cui, N. (eds.). Cham, Switzerland: Springer Science and Business Media Deutschland GmbH, p. 92-102 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14178 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Imaging evaluation of a proposed 3D generative model for MRI to CT translation in the lumbar spine
Roberts, M., Hinton, G., Wells, A. J., Van Der Veken, J., Bajger, M., Lee, G., Liu, Y., Chong, C., Poonnoose, S., Agzarian, M. & To, M. S., Nov 2023, In: Spine Journal. 23, 11, p. 1602-1612 11 p.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
Modular structures and the delivery of inpatient care in hospitals: a Network Science perspective on healthcare function and dysfunction
Ben-Tovim, D. I., Bajger, M., Bui, V. D., Qin, S. & Thompson, C. H., Dec 2022, In: BMC Health Services Research. 22, 1, 12 p., 1503.Research output: Contribution to journal › Article › peer-review
Open AccessFile28 Downloads (Pure) -
Network Graph Analysis of Hospital and Health Services Functional Structures
Ben-Tovim, D., Bajger, M., Bui, V. D. & Qin, S., Feb 2022, Advanced Data Mining and Applications: 17th International Conference, ADMA 2021 Sydney, NSW, Australia, February 2–4, 2022 Proceedings, Part I. Li, B., Yue, L., Jiang, J., Chen, W., Li, X., Long, G., Fang, F. & Yu, H. (eds.). Switzerland: Springer Science and Business Media Deutschland GmbH, p. 33-44 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13087 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
Lumbar Spine CT synthesis from MR images using CycleGAN: A preliminary study
Bajger, M., To, M. S., Lee, G., Wells, A., Chong, C., Agzarian, M. & Poonnoose, S., 2021, 2021 Digital Image Computing: Techniques and Applications (DICTA). Zhou, J., Salvado, O., Sohel, F., Borges, P. & Wang, S. (eds.). New York, USA: Institute of Electrical and Electronics Engineers, 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus)