Vijaya Kumar Koppula

According to our database, Vijaya Kumar Koppula authored at least 8 papers between 2009 and 2022.

Collaborative distances:

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

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

2012

Two-stage hybrid binarization around fringe map based text line segmentation for document images.

Saumya Jetley, Swapnil Belhe, Vijaya Kumar Koppula, Atul Negi

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Fringe Map Based Text Line Segmentation of Printed Telugu Document Images.

Vijaya Kumar Koppula, Atul Negi

Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

2009

Robust Text Line, Word And Character Extraction from Telugu Document Image.

Vijaya Kumar Koppula, Atul Negi, Utpal Garain

Proceedings of the Second International Conference on Emerging Trends in Engineering & Technology, 2009