A comparative experimental analysis and deep evaluation practices on human bone fracture detection using x-ray images. - L. Sathish Kumar; Prabu A. V.; V. Pandimurugan; Rajasoundaran Soundararajan; Prince Priya Malla; Sidheswar Routray (Concurr. Comput. Pract. Exp., 2022)

Investigation of COVID-19 symptoms using deep learning based image enhancement scheme for x-ray medical images. - V. Pandimurugan; A. V. Prabu; Rajasoundaran Soundararajan; Sidheswar Routray; Nilesh Bhaskarrao Bahadure; D. Ratna Kishore (Int. J. Biom., 2023)

Artificial intelligence based health indicator extraction and disease symptoms identification using medical hypothesis models. - L. Sathish Kumar; Sidheswar Routray; A. V. Prabu; Rajasoundaran Soundararajan; V. Pandimurugan; Amrit Mukherjee; Mohammed S. Al-Numay (Clust. Comput., 2023)

Prediction analysis for Parkinson disease using multiple feature selection & classification methods. - M. S. Hema; R. Mahesh Prabhu; K. Sudheer Reddy; M. Nageswara Guptha; V. Pandimurugan (Multim. Tools Appl., 2023)

Prediction of middle box-based attacks in Internet of Healthcare Things using ranking subsets and convolutional neural network. - Harun Bangali; Paul Rodrigues; V. Pandimurugan; Rajasoundaran Soundararajan; Sripathi Venkata Naga Santhosh Kumar; Munuswamy Selvi; Arputharaj Kannan (Wirel. Networks, 2024)

CNN-Based Deep Learning Model for Early Identification and Categorization of Melanoma Skin Cancer Using Medical Imaging. - V. Pandimurugan; Sultan Ahmad; A. V. Prabu; Mohammad Khalid Imam Rahmani; Hikmat Awad Mohammad Abdeljaber; Malathi Eswaran; Jabeen Nazeer (SN Comput. Sci., 2024)

Enriched energy optimized LEACH protocol for efficient data transmission in wireless sensor network. - V. Rajaram; V. Pandimurugan; Rajasoundaran Soundararajan; Paul Rodrigues; Sripathi Venkata Naga Santhosh Kumar; Munuswamy Selvi; V. Loganathan (Wirel. Networks, 2025)