Projects per year
Personal profile
Education/Academic qualification
Image processing and Machine Learning, PhD, Flinders University
Award Date: 26 Jul 2019
Computer Science and Engineering, Master, Visvesvaraya Technological University
Award Date: 10 May 2013
Computer Science and Engineering, Bachelor
Award Date: 20 May 2005
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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
- 2 Active
Research Output
Mammographic mass identification in dense breasts using multi-scale analysis of structured micro-patterns
Sajeev, S., Bajger, M., Lee, G., Muramatsu, C. & Fujita, H., 1 Jan 2020, 15th International Workshop on Breast Imaging, IWBI 2020. Bosmans, H., Marshall, N. & Van Ongeval, C. (eds.). SPIE, 1151323. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11513).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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 proceeding › Conference 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 proceeding › Conference 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 proceeding › Conference contribution
1
Citation
(Scopus)
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 proceeding › Conference contribution
2
Citations
(Scopus)
Prizes
Impact Seed Funding for Early Career Researchers
Sajeev, Shelda (Recipient), 2019
Prize: Honorary award
The Australian Government Research Training Program Scholarship
Sajeev, Shelda (Recipient), 2017
Prize: Honorary award