Raja Chandrasekaran

According to our database, Raja Chandrasekaran authored at least 5 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

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., May, 2025

2024

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

Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

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., October, 2023

Retinopathy grading with deep learning and wavelet hyper-analytic activations.

Raja Chandrasekaran, Loganathan Balaji

Vis. Comput., July, 2023

2019

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