Robust Text Line, Word And Character Extraction from Telugu Document Image. - Vijaya Kumar Koppula; Atul Negi; Utpal Garain (ICETET, 2009)

Fringe Map Based Text Line Segmentation of Printed Telugu Document Images. - Vijaya Kumar Koppula; Atul Negi (ICDAR, 2011)

Two-stage hybrid binarization around fringe map based text line segmentation for document images. - Saumya Jetley; Swapnil Belhe; Vijaya Kumar Koppula; Atul Negi (ICPR, 2012)

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)