Perspective Review on Deep Learning Models to Medical Image Segmentation. - H. Heartlin Maria; A. Maria Jossy; S. Malarvizhi (ICCIDS, 2022)

De-noising low dose CT images of the ovarian region using modified discrete wavelet transform. - H. Heartlin Maria; A. Maria Jossy; G. Malarvizhi; A. Jenitta (Multim. Tools Appl., 2022)

A hybrid deep learning approach for detection and segmentation of ovarian tumours. - H. Heartlin Maria; A. Maria Jossy; S. Malarvizhi (Neural Comput. Appl., 2023)

Real-time deployment of BI-RADS breast cancer classifier using deep-learning and FPGA techniques. - H. Heartlin Maria; R. Kayalvizhi; S. Malarvizhi; Revathi Venkatraman; Shantanu Patil; A. Senthil Kumar (J. Real Time Image Process., 2023)

Hardware deployment of deep learning model for classification of breast carcinoma from digital mammogram images. - R. Kayalvizhi; H. Heartlin Maria; S. Malarvizhi; Revathi Venkatraman; Shantanu Patil (Medical Biol. Eng. Comput., 2023)

De-noising of Low Dose CT Liver Images Using Improved Discrete Wavelet Transform. - H. Heartlin Maria; R. Kayalvizhi; Keren Evangeline I.; T. George Princess; T. Rashmika Mangalya; J. Shakthi Prakash (ICCIDS (1), 2024)