A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s). - Siva Skandha Sanagala; Suneet K. Gupta 001; Vijaya Kumar Koppula; Mohit Agarwal 003 (ICMLA, 2019)

3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0. - Siva Skandha Sanagala; Suneet K. Gupta 001; Luca Saba; Vijaya Kumar Koppula; Amer M. Johri; Narendra N. Khanna; Sophie Mavrogeni; John R. Laird; Gyan Pareek; Martin Miner; Petros P. Sfikakis; Athanasios Protogerou; et al. (Comput. Biol. Medicine, 2020)

A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application. - Luca Saba; Siva Skandha Sanagala; Suneet K. Gupta 001; Vijaya Kumar Koppula; John R. Laird; Vijay Viswanathan 001; Miguel J. Sanches; George D. Kitas; Amer M. Johri; Neeraj Sharma; Andrew Nicolaides; Jasjit S. Suri (IEEE Trans. Instrum. Meas., 2021)

A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework. - Siva Skandha Sanagala; Andrew Nicolaides; Suneet K. Gupta 001; Vijaya Kumar Koppula; Luca Saba; Amer M. Johri; Manudeep S. Kalra; Jasjit S. Suri (Comput. Biol. Medicine, 2022)

A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data. - Siva Skandha Sanagala; Mohit Agarwal 003; Kumar Utkarsh; Suneet K. Gupta 001; Vijaya Kumar Koppula; Jasjit S. Suri (Neural Comput. Appl., 2022)

Optimized intelligent 3D localization in wireless sensor networks for better data sharing. - P. Sruthi; Archana Bathula; Siva Skandha Sanagala (J. Frankl. Inst., 2024)

Blockchain, artificial intelligence, and healthcare: the tripod of future - a narrative review. - Archana Bathula; Suneet K. Gupta 001; Suresh Merugu; Luca Saba; Narendra N. Khanna; John R. Laird; Siva Skandha Sanagala; Rajesh Singh; Deepak Garg 002; Mostafa M. Fouda; Jasjit S. Suri (Artif. Intell. Rev., 2024)