Research output per year
Research output per year
- 11 results
Search results
-
2022
Evolutionary Population Dynamic Mechanisms for the Harmony Search Algorithm
Mirjalili, S., Sajeev, S., Saha, R., Khodadadi, N., Mohammad Mirjalili, S. & Mirjalili, S., 2022, Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications. Singapore: Springer Nature, p. 185-194Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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2021
Classifying infective keratitis using a deep learning approach
Sajeev, S. & Prem Senthil, M., 1 Feb 2021, Proceedings of the Australasian Computer Science Week Multiconference 2021, ACSW 2021. Stanger, N. & Joachim, V. L. (eds.). Association for Computing Machinery (ACM), 3437388. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (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., 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 › peer-review
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2019
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 › peer-review
4 Citations (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 › peer-review
4 Citations (Scopus) -
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 › peer-review
1 Citation (Scopus) -
2018
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 › peer-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, DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications. Guo, Y., Murshed, M., Wang, Z., Feng, D. D., Li, H., Cai, W. T. & Gao, J. (eds.). Institute of Electrical and Electronics Engineers Inc., 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 proceeding › Conference contribution › peer-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. Lang, K., Tingberg, A. & Timberg, P. (eds.). Springer Verlag, p. 635-642 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9699).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Citations (Scopus) -
2015
Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE
Sajeev, S., Bajger, M. & Lee, G., 1 Jan 2015, 2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015. Institute of Electrical and Electronics Engineers Inc., 7371305. (2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
10 Citations (Scopus) -
2013
Modified contrast limited adaptive histogram equalization based on local contrast enhancement for mammogram images
Mohan, S. & M, R., 2013, Modified contrast limited adaptive histogram equalization based on local contrast enhancement for mammogram images. (Mobile Communication and Power Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
54 Citations (Scopus)