Shelda Sajeev

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Shelda Sajeev

Dr

Calculated based on number of publications stored in Pure and citations from Scopus
20132024

Research activity per year

  • 12 Conference contribution
  • 5 Article
  • 1 Chapter
  • 1 Review article
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Conference contribution

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  • 2022

    Classification of Respiratory Diseases with Respiratory Sounds with Deep Learning Algorithm

    Majumdar, N. K., Christa, S., Manek, A. S. & Sajeev, S., 2022, 2022 IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, ICWITE 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, ICWITE 2022 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 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. 185-194

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    4 Citations (Scopus)
  • 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

    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., 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

  • 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

    14 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

    12 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

    71 Citations (Scopus)