• 297 Citations
  • 10 h-Index
19942019

Research output per year

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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.

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Research Output

  • 297 Citations
  • 10 h-Index
  • 30 Paper
  • 15 Article
  • 6 Conference contribution
  • 1 Chapter

Circular Shape Prior in Efficient Graph Based Image Segmentation to Segment Nucleus

Saha, R., Bajger, M. & Lee, G., 16 Jan 2019, 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018. Pickering, M., Zheng, L., You, S., Rahman, A., Murshed, M., Asikuzzaman, M., Natu, A., Robles-Kelly, A. & Paul, M. (eds.). Institute of Electrical and Electronics Engineers Inc., 8 p. 8615768. (2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 3 Citations (Scopus)

    Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram

    Sajeev, S., Bajger, M. & Lee, G., 2019, Graph Learning in Medical Imaging: First International Workshop, GLMI 2019, held in Conjunction with MICCAI 2019, Proceedings. Zhang, D., Zhou, L., Jie, B. & Liu, M. (eds.). Switzerland: Springer, p. 147-154 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11849 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 1 Citation (Scopus)

    Organs-at-risk contouring on head CT for RT planning using 3D slicer-A preliminary study

    Jegou, N., Desaize, F., Lee, G., Bajger, M., Acosta, O., Leseur, J., De Crevoisier, R. & Caon, M., Oct 2019, Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc., p. 503-506 4 p. 8941631. (Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Prior guided segmentation and nuclei feature based abnormality detection in cervical cells

    Saha, R., Bajger, M. & Lee, G., Oct 2019, Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019. California: Institute of Electrical and Electronics Engineers Inc., p. 742-746 5 p. 8941814. (Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • SRM Superpixel Merging Framework for Precise Segmentation of Cervical Nucleus

    Saha, R., Bajger, M. & Lee, G., Dec 2019, 2019 Digital Image Computing: Techniques and Applications, DICTA 2019. Institute of Electrical and Electronics Engineers Inc., 8 p. 8945887. (2019 Digital Image Computing: Techniques and Applications, DICTA 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution