An Improved Fuzzy Clustering Segmentation Algorithm Based on Animal Behavior Global Optimization. - A. Absara; S. N. Kumar 001; A. Lenin Fred; H. Ajay Kumar; V. Suresh (SocProS (1), 2018)

An Improved Gaussian Mixture Model Based on Prior Probability Factor for MR Brain Image Segmentation. - J. B. Ashly; S. N. Kumar 001; A. Lenin Fred; H. Ajay Kumar; V. Suresh (SocProS (2), 2018)

Unimodal Medical Image Registration Based on Genetic Algorithm Optimization. - J. V. Alexy John; S. N. Kumar 001; A. Lenin Fred; H. Ajay Kumar; W. Abisha (SocProS (2), 2018)

Compression of CT Images using Contextual Vector Quantization with Simulated Annealing for Telemedicine Application. - S. N. Kumar 001; A. Lenin Fred; P. Sebastin Varghese (J. Medical Syst., 2018)

Segmentation by Fractional Order Darwinian Particle Swarm Optimization Based Multilevel Thresholding and Improved Lossless Prediction Based Compression Algorithm for Medical Images. - Ahilan Appathurai; Gunasekaran Manogaran; Chandrasekaran Raja; Seifedine Nimer Kadry; S. N. Kumar 001; C. Agees Kumar; T. Jarin; Sujatha Krishnamoorthy; Priyan Malarvizhi Kumar; Gokulnath Chandra Babu; Senthil Murugan Nagarajan 001; Parthasarathy Panchatcharam (IEEE Access, 2019)

Suspicious Lesion Segmentation on Brain, Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering. - S. N. Kumar 001; A. Lenin Fred; P. Sebastin Varghese (J. Digit. Imaging, 2019)

Lossless Compression of CT Images by an Improved Prediction Scheme Using Least Square Algorithm. - S. N. Kumar 001; A. Lenin Fred; H. Ajay Kumar; P. Sebastin Varghese (Circuits Syst. Signal Process., 2020)

An Overview of Segmentation Algorithms for the Analysis of Anomalies on Medical Images. - Subbiahpillai Neelakantapillai Kumar; Alfred Lenin Fred; Paul Sebastin Varghese (J. Intell. Syst., 2020)

Gaussian Hermite polynomial based lossless medical image compression. - S. N. Kumar 001; Ahilan Appathurai; Ajay Kumar Haridhas; Jins Sebastian (Multim. Syst., 2021)

Efficient Data Security Using Hybrid RSA-TWOFISH Encryption Technique on Cloud Computing. - A. Jenice Prabhu; S. Vallisree; S. N. Kumar 001; Ramachandran Sitharthan; M. Rajesh 001; A. Ahilan 001; M. Usha (FICTA (2), 2023)

An Optimized Cyber Security Framework for Network Applications. - B. Veerasamy; D. Nageswari; S. N. Kumar 001; Anil Shirgire; Ramachandran Sitharthan; A. Jasmine Gnana Malar (FICTA (2), 2023)

Fuzzy C Means Clustering Coupled with Firefly Optimization Algorithm for the Segmentation of Neurodisorder Magnetic Resonance Images. - Elisabeth Thomas; S. N. Kumar 001 (ICMLDE, 2023)

Nonlinear tensor diffusion filter for the denoising of CT/MR images. - S. N. Kumar 001; A. Lenin Fred; H. Ajay Kumar; P. Sebastin Varghese (Int. J. Adv. Intell. Paradigms, 2023)

FPGA Implementation of Gauss Gradient Edge Detectors for Medical Images. - B. Sivasankari; Ahilan Appathurai; S. N. Kumar 001 (Wirel. Pers. Commun., 2023)

Deep Learning Architectures for OCT Images Retinal Disease Classification. - Ranjitha Rajan; S. N. Kumar 001 (SN Comput. Sci., 2025)

AI-Optimized Autoencoder Architecture for Secure and Efficient Brain MRI Image Encryption and Compression on EDGE Platforms. - Jins Sebastian; J. Deny; S. N. Kumar 001 (KSII Trans. Internet Inf. Syst., 2025)

An adaptive multi-head self-attention coupled with attention filtered LSTM for advanced scene text recognition. - Prabu Selvam; S. N. Kumar 001; S. Kannadhasan (Int. J. Document Anal. Recognit., 2025)

SecureFed+ a federated learning framework with adaptive gradient clipping and encrypted aggregation for credit card fraud detection. - T. Manonmani; N. Umakanth; S. N. Kumar 001; S. Kannadhasan; S. K. Hareni; P. Shree Suha Tharishana (Int. J. Mach. Learn. Cybern., 2026)

StegoMed: a GAN inspired medical image steganography using non-adversarial encoder decoder for teleradiology. - Bini M. Issac; S. N. Kumar 001 (Multim. Tools Appl., 2026)