• 12 Citations
  • 2 h-Index
20152019

Research output per year

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Research Output

  • 12 Citations
  • 2 h-Index
  • 7 Conference contribution
  • 1 Article

Cardiovascular Risk Prediction Models: A Scoping Review

Sajeev, S. & Maeder, A., 29 Jan 2019, Proceedings of the Australasian Computer Science Week Multiconference, ACSW 2019. Association for Computing Machinery (ACM), a21. (ACM International Conference Proceeding Series).

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

  • 1 Citation (Scopus)

    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 Gabler, 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 contribution

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

    Sajeev, S., Bajger, M. & Lee, G., 1 Jan 2019, Graph Learning in Medical Imaging - 1st International Workshop, GLMI 2019, held in Conjunction with MICCAI 2019, Proceedings. Zhang, D., Zhou, L., Jie, B. & Liu, M. (eds.). Springer Gabler, 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

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

    Sajeev, S., Bajger, M. & Lee, G., 1 Jan 2018, 14th International Workshop on Breast Imaging (IWBI 2018). Krupinski, E. A. (ed.). SPIE, 107180V. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10718).

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

  • 1 Citation (Scopus)

    Superpixel texture analysis for classification of breast masses in dense background

    Sajeev, S., Bajger, M. & Lee, G., 1 Sep 2018, In : IET Computer Vision. 12, 6, p. 779-786 8 p.

    Research output: Contribution to journalArticle

  • 1 Citation (Scopus)