Cardiovascular MRI image analysis by using the bio inspired (sand piper optimized) fully deep convolutional network (Bio-FDCN) architecture for an automated detection of cardiac disorders. - Jyoti Metan; A. Y. Prasad; Kurilinga Sannalingappa Ananda Kumar; Mahantesh Mathapati; Kavita K. Patil (Biomed. Signal Process. Control., 2021)

A hybrid deep CNN-Cov-19-Res-Net Transfer learning architype for an enhanced Brain tumor Detection and Classification scheme in medical image processing. - Kurilinga Sannalingappa Ananda Kumar; A. Y. Prasad; Jyoti Metan (Biomed. Signal Process. Control., 2022)

Early detection and classification of liver diseases in ultrasound images using hybrid machine learning techniques. - Prasad Adaguru Yogegowda; Jyoti Metan; Kurilinga Sannalingappa Ananda Kumar; Shiva Prasad Kumbenahalli Hanumanthegowda (Concurr. Comput. Pract. Exp., 2022)

Quantum-Resilient Cloud Data Protection: A Novel Framework for Secure Encryption and Key Exchange. - Gadde Swetha; Kurilinga Sannalingappa Ananda Kumar; Hanumantharao Nadendla; Nageswararao Eluri; Gowrisankar Kalakoti; Venkata Srinivasu Veesam (Concurr. Comput. Pract. Exp., 2025)