Siva Skandha Sanagala

According to our database, Siva Skandha Sanagala authored at least 7 papers between 2019 and 2024.

Collaborative distances:

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

2024

Blockchain, artificial intelligence, and healthcare: the tripod of future - a narrative review.

Archana Bathula, Suneet K. Gupta, Suresh Merugu, Luca Saba, Narendra N. Khanna, John R. Laird, Siva Skandha Sanagala, Rajesh Singh, Deepak Garg, Mostafa M. Fouda, Jasjit S. Suri

Artif. Intell. Rev., September, 2024

Optimized intelligent 3D localization in wireless sensor networks for better data sharing.

P. Sruthi, Archana Bathula, Siva Skandha Sanagala

J. Frankl. Inst., 2024

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, Kumar Utkarsh, Suneet K. Gupta, Vijaya Kumar Koppula, Jasjit S. Suri

Neural Comput. Appl., 2022

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, Vijaya Kumar Koppula, Luca Saba, Amer M. Johri, Manudeep S. Kalra, Jasjit S. Suri

Comput. Biol. Medicine, 2022

2021

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, Vijaya Kumar Koppula, John R. Laird, Vijay Viswanathan, Miguel J. Sanches, George D. Kitas, Amer M. Johri, Neeraj Sharma, Andrew Nicolaides, Jasjit S. Suri

IEEE Trans. Instrum. Meas., 2021

2020

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, 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, Durga Prasanna Misra, Vikas Agarwal, Aditya M. Sharma, Vijay Viswanathan, Vijay S. Rathore, Monika Turk, Jasjit S. Suri

Comput. Biol. Medicine, 2020

2019

A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s).

Siva Skandha Sanagala, Suneet K. Gupta, Vijaya Kumar Koppula, Mohit Agarwal

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019