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)

CVD-HNet: Classifying Pneumonia and COVID-19 in Chest X-ray Images Using Deep Network. - S. Suganyadevi; V. Seethalakshmi (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 recurrent learning based qualified sequence segment analytical model (QS2AM) for infectious disease detection using CT images. - S. Suganyadevi; V. Seethalakshmi (Evol. Syst., 2024)

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)

FACNN: fuzzy-based adaptive convolution neural network for classifying COVID-19 in noisy CXR images. - S. Suganyadevi; V. Seethalakshmi (Medical Biol. Eng. Comput., 2024)

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)