An intelligent reversible watermarking system for authenticating medical images using Wavelet and PSO. - K. Balasamy 001; S. Ramakrishnan 004 (Clust. Comput., 2019)

A Genetic Algorithm Based Medical Image Watermarking for Improving Robustness and Fidelity in Wavelet Domain. - Balasamy Krishnasamy; M. Balakrishnan; Arockia Christopher (FICTA (2), 2020)

A fuzzy based ROI selection for encryption and watermarking in medical image using DWT and SVD. - K. Balasamy 001; S. Suganyadevi (Multim. Tools Appl., 2021)

A review on deep learning in medical image analysis. - S. Suganyadevi; V. Seethalakshmi; K. Balasamy 001 (Int. J. Multim. Inf. Retr., 2022)

Improving the security of medical image through neuro-fuzzy based ROI selection for reliable transmission. - K. Balasamy 001; N. Krishnaraj 001; K. Vijayalakshmi (Multim. Tools Appl., 2022)

An Adaptive Neuro-Fuzzy Based Region Selection and Authenticating Medical Image Through Watermarking for Secure Communication. - K. Balasamy 001; N. Krishnaraj 001; K. Vijayalakshmi (Wirel. Pers. Commun., 2022)

A secure framework for medical image by integrating watermarking and encryption through fuzzy based ROI selection. - D. Shamia; K. Balasamy 001; S. Suganyadevi (J. Intell. Fuzzy Syst., 2023)

Deep Learning Based Alzheimer Disease Diagnosis: A Comprehensive Review. - S. Suganyadevi; A. Shiny Pershiya; K. Balasamy 001; V. Seethalakshmi; Saroj Bala; Kumud Arora (SN Comput. Sci., 2024)

Medical Image Analysis Through Deep Learning Techniques: A Comprehensive Survey. - K. Balasamy 001; V. Seethalakshmi; S. Suganyadevi (Wirel. Pers. Commun., 2024)

HCO-RLF: Hybrid classification optimization using recurrent learning and fuzzy for COVID-19 detection on CT images. - K. Balasamy 001; V. Seethalakshmi (Biomed. Signal Process. Control., 2025)

Improving the traffic prediction process efficiency using novel cohesive model. - G. Balamurugan; K. B. Gurumoorthy; S. Suganyadevi; K. Balasamy 001 (Comput. Electr. Eng., 2025)

Multi-dimensional fuzzy based diabetic retinopathy detection in retinal images through deep CNN method. - K. Balasamy 001; S. Suganyadevi (Multim. Tools Appl., 2025)