Vijaya Kumar Koppula

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 5

Top Topics

Neural Network Model

Tissue Characterization

Mass Spectrometry

Top Venues

Comput. Biol. Medicine

IEEE Trans. Instrum. Meas.

Neural Comput. Appl.

Publications

Siva Skandha Sanagala, Andrew Nicolaides, Suneet Kr. Gupta, Vijaya Kumar Koppula, Luca Saba, Amer M. Johri, Manudeep S. Kalra, Jasjit S. Suri
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework. Comput. Biol. Medicine 141 (2022)
Siva Skandha Sanagala, Mohit Agarwal, Kumar Utkarsh, Suneet K. Gupta, Vijaya Kumar Koppula, Jasjit S. Suri
A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data. Neural Comput. Appl. 34 (23) (2022)
Luca Saba, Siva Skandha Sanagala, Suneet Kr. 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
A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application. IEEE Trans. Instrum. Meas. 70 (2021)
Siva Skandha Sanagala, Suneet Kr. 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
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0. Comput. Biol. Medicine 125 (2020)
Siva Skandha Sanagala, Suneet Kr. Gupta, Vijaya Kumar Koppula, Mohit Agarwal
A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s). ICMLA (2019)
Saumya Jetley, Swapnil Belhe, Vijaya Kumar Koppula, Atul Negi
Two-stage hybrid binarization around fringe map based text line segmentation for document images. ICPR (2012)
Vijaya Kumar Koppula, Atul Negi
Fringe Map Based Text Line Segmentation of Printed Telugu Document Images. ICDAR (2011)
Vijaya Kumar Koppula, Atul Negi, Utpal Garain
Robust Text Line, Word And Character Extraction from Telugu Document Image. ICETET (2009)