Calculated based on number of publications stored in Pure and citations from Scopus
20152024

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  • 2021

    Classifying infective keratitis using a deep learning approach

    Sajeev, S. & Prem Senthil, M., Feb 2021, Proceedings of the Australasian Computer Science Week Multiconference 2021, ACSW 2021. Stanger, N. & Joachim, V. L. (eds.). Association for Computing Machinery, 4 p. 20. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    3 Citations (Scopus)
  • 2020

    Mammographic mass identification in dense breasts using multi-scale analysis of structured micro-patterns

    Sajeev, S., Bajger, M., Lee, G., Muramatsu, C. & Fujita, H., 2020, 15th International Workshop on Breast Imaging, IWBI 2020. Bosmans, H., Marshall, N. & Van Ongeval, C. (eds.). Washington, USA: SPIE, 6 p. 1151323. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11513).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2019

    Deep Learning to Improve Heart Disease Risk Prediction

    Sajeev, S., Maeder, A., Champion, S., Beleigoli, A., Ton, C., Kong, X. & Shu, M., 1 Jan 2019, Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting - 1st International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Proceedings. Liao, H., Wang, G., Liu, Y., Ding, Z., Balocco, S., Zhang, F., Duong, L., Phellan, R., Zahnd, G., Albarqouni, S., Demirci, S., Breininger, K., Moriconi, S. & Lee, S-L. (eds.). Springer , p. 96-103 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11794 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    9 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 contributionpeer-review

    Open Access
    1 Citation (Scopus)
  • 2018

    Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study

    Sajeev, S., Bajger, M. & Lee, G., 2018, 14th International Workshop on Breast Imaging (IWBI 2018). Krupinski, E. A. (ed.). Washington, USA: SPIE, Vol. 10718. 10 p. 107180V. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10718).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)
  • 2017

    Structured Micro-Pattern Based LBP Features for Classification of Masses in Dense Breasts

    Sajeev, S., Bajger, M. & Lee, G., 19 Dec 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA): Techniques and Applications. Guo, Y., Murshed, M., Wang, Z., Feng, D. D., Li, H., Cai, W. T. & Gao, J. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers, p. 1-8 8 p. (DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications; vol. 2017-December).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)
  • 2016

    Improving Breast Mass Segmentation in Local Dense Background: an Entropy based Optimization of Statistical Region Merging Method

    Sajeev, S., Bajger, M. & Lee, G., 1 Jan 2016, Breast Imaging - 13th International Workshop, IWDM 2016, Proceedings: 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings. Tingberg, A., Lang, K. & Timberg, P. (eds.). Springer , p. 635-642 8 p. (Lecture Notes in Computer Science; no. 9699).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    3 Citations (Scopus)
  • 2015

    Segmentation of Breast Masses in Local Dense Background using Adaptive Clip Limit-CLAHE

    Sajeev, S., Bajger, M. & Lee, G., 2015, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA). Piscataway, NJ, p. 15698859 8 p. 7371305. (2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Citations (Scopus)