A novel particle swarm optimisation with search space tuning parameter to avoid premature convergence. - Raja Chandrasekaran; R. Agilesh Saravanan; D. Ashok Kumar; N. Gangatharan (Int. J. Math. Model. Numer. Optimisation, 2019)

Retinopathy grading with deep learning and wavelet hyper-analytic activations. - Raja Chandrasekaran; Loganathan Balaji 001 (Vis. Comput., 2023)

Brain tumor segmentation and classification with hybrid clustering, probabilistic neural networks. - M. D. Javeed; Regonda Nagaraju; Raja Chandrasekaran; Govinda Rajulu; Praveen Tumuluru; M. Ramesh; Sanjay Kumar Suman; Rajeev Shrivastava (J. Intell. Fuzzy Syst., 2023)

Annotation Guided Generative Adversarial Networks for Image Augmentation of Age-Related Macular Degeneration. - Raja Chandrasekaran; Saketh Reddy Balpunuri; Isuru Senadheera; Vishnu Sai Nallagatla; Lokesh Akula; Praveen (IECON, 2024)

Evaluating Generative Adversarial Networks for Virtual Contrast-Enhanced Kidney Segmentation using Res-UNet in Non-Contrast CT Images. - Maganti Syamala; Raja Chandrasekaran; R. Balamurali; R. Rani; Arshad Hashmi; Ajmeera Kiran; A. Rajaram (Multim. Tools Appl., 2025)