Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (DICTA, 2015)

Improving Breast Mass Segmentation in Local Dense Background: An Entropy Based Optimization of Statistical Region Merging Method. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (Digital Mammography / IWDM, 2016)

Structured Micro-Pattern Based LBP Features for Classification of Masses in Dense Breasts. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (DICTA, 2017)

Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (IWBI, 2018)

Superpixel texture analysis for classification of breast masses in dense background. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (IET Comput. Vis., 2018)

Cardiovascular Risk Prediction Models: A Scoping Review. - Shelda Sajeev; Anthony J. Maeder (ACSW, 2019)

Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (GLMI@MICCAI, 2019)

Deep Learning to Improve Heart Disease Risk Prediction. - Shelda Sajeev; Anthony J. Maeder; Stephanie Champion; Alline M. R. Beleigoli; Cheng Ton; Xianglong Kong; Minglei Shu (MLMECH/CVII-STENT@MICCAI, 2019)

Classifying infective keratitis using a deep learning approach. - Shelda Sajeev; Mallika Prem Senthil (ACSW, 2021)

Evolutionary Population Dynamic Mechanisms for the Harmony Search Algorithm. - Seyedeh Zahra Mirjalili; Shelda Sajeev; Ratna Saha; Nima Khodadadi; Seyed Mohammad Mirjalili; Seyedali Mirjalili (ICHSA, 2022)