Mrs Shelda Sajeev

  • 15 Citations
  • 2 h-Index
20152019

Research output per year

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Research Output

  • 15 Citations
  • 2 h-Index
  • 4 Paper
  • 3 Conference contribution
  • 1 Article
2019

Cardiovascular Risk Prediction Models: A Scoping Review

Sajeev, S. & Maeder, A. J., 29 Jan 2019, p. 1-5. 5 p.

Research output: Contribution to conferencePaper

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, 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., 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)
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, (Proceedings of SPIE; vol. 10718).

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

2 Citations (Scopus)

Superpixel texture analysis for classification of breast masses in dense background

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

Research output: Contribution to journalArticle

1 Citation (Scopus)
2017

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

Sajeev, S., Bajger, M. & Lee, G., 2017, p. 1-8. 8 p.

Research output: Contribution to conferencePaper

2 Citations (Scopus)
2016
2 Citations (Scopus)
2015
6 Citations (Scopus)