Rapid brain tissue segmentation process by modified FCM algorithm with CUDA enabled GPU machine. - T. Kalaiselvi; Padmanaban Sriramakrishnan (Int. J. Imaging Syst. Technol., 2018)

A rapid knowledge-based partial supervision fuzzy c-means for brain tissue segmentation with CUDA-enabled GPU machine. - Padmanaban Sriramakrishnan; Kalaiselvi Thiruvenkadam; Karuppana Gounder Somasundaram; Rajeswaran Rangasami (Int. J. Imaging Syst. Technol., 2019)

Development of automatic glioma brain tumor detection system using deep convolutional neural networks. - Kalaiselvi Thiruvenkadam; Thiyagarajan Padmapriya; Padmanaban Sriramakrishnan; Venugopal Priyadharshini (Int. J. Imaging Syst. Technol., 2020)

Three-Phase Automatic Brain Tumor Diagnosis System Using Patches Based Updated Run Length Region Growing Technique. - T. Kalaiselvi; P. Kumarashankar; Padmanaban Sriramakrishnan (J. Digit. Imaging, 2020)

An automatic self-initialized clustering method for brain tissue segmentation and pathology detection from magnetic resonance human head scans with graphics processing unit machine. - Kalaiselvi Thiruvenkadam; Kalaichelvi Nagarajan; Padmanaban Sriramakrishnan (Concurr. Comput. Pract. Exp., 2021)

RIBM3DU-Net: Glioma tumour substructures segmentation in magnetic resonance images using residual-inception block with modified 3D U-Net architecture. - Syedsafi Shajahan; Padmanaban Sriramakrishnan; Kalaiselvi Thiruvenkadam (Int. J. Imaging Syst. Technol., 2024)

Lyapunov conditions for the finite-time stability of fractional order disturbed nonlinear systems and neural networks: The secure image communication using encryption. - Reshma Ramaswami; A. Vinodkumar; Padmanaban Sriramakrishnan (Commun. Nonlinear Sci. Numer. Simul., 2025)

A framework of YOLOv5 integrated privacy-preserving secure image communication using fractional order memristor based Chua's circuit and fully synchronization with adaptive coupling strength. - P. Babu Dhivakaran; A. Vinodkumar; Padmanaban Sriramakrishnan; Jehad O. Alzabut (Math. Comput. Simul., 2026)