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koppula vijaya kumar
koppula vijaya kumar
Professor, School of computer science and Artificial Intelligence & Dean Academics, SR University
Verifierad e-postadress på sru.edu.in
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3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated …
SS Skandha, SK Gupta, L Saba, VK Koppula, AM Johri, NN Khanna, ...
Computers in Biology and Medicine 125, 103958, 2020
722020
Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: A narrative review for stroke application
L Saba, SS Sanagala, SK Gupta, VK Koppula, AM Johri, NN Khanna, ...
Annals of translational medicine 9 (14), 2021
582021
Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system
L Saba, SS Sanagala, SK Gupta, VK Koppula, AM Johri, AM Sharma, ...
The International Journal of Cardiovascular Imaging 37, 1511-1528, 2021
532021
Ten fast transfer learning models for carotid ultrasound plaque tissue characterization in augmentation framework embedded with heatmaps for stroke risk stratification
SS Sanagala, A Nicolaides, SK Gupta, VK Koppula, L Saba, S Agarwal, ...
Diagnostics 11 (11), 2109, 2021
402021
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework
SS Skandha, A Nicolaides, SK Gupta, VK Koppula, L Saba, AM Johri, ...
Computers in biology and medicine 141, 105131, 2022
392022
A multicenter study on carotid ultrasound plaque tissue characterization and classification using six deep artificial intelligence models: a stroke application
L Saba, SS Sanagala, SK Gupta, VK Koppula, JR Laird, V Viswanathan, ...
IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021
392021
Fringe map based text line segmentation of printed Telugu document images
VK Koppula, A Negi
2011 International Conference on Document Analysis and Recognition, 1294-1298, 2011
282011
Robust text line, word and character extraction from telugu document image
VK Koppula, N Atul, U Garain
2009 Second International Conference on Emerging Trends in Engineering …, 2009
262009
Two-stage hybrid binarization around fringe map based text line segmentation for document images
S Jetley, S Belhe, VK Koppula, A Negi
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
182012
A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data
SS Skandha, M Agarwal, K Utkarsh, SK Gupta, VK Koppula, JS Suri
Neural Computing and Applications 34 (23), 20915-20937, 2022
172022
A fast and light weight deep convolution neural network model for cancer disease identification in human lung (s)
SS Sanagala, SK Gupta, VK Koppula, M Agarwal
2019 18th IEEE international conference on machine learning and applications …, 2019
172019
Comparative study of text line segmentation algorithms on low quality documents
P Soujanya, VK Koppula, K Gaddam, P Sruthi
CMR College of Engineering and Technology Cognizant Technologies, Hyderabad …, 2010
132010
Using fringe maps for text line segmentation in printed or handwritten document images
VK Koppula, A Negi
2010 Second Vaagdevi International Conference on Information Technology for …, 2010
102010
Developing Learners’ English-Speaking Skills using ICT and AI Tools
E Madhavi, L Sivapurapu, V Koppula, PBE Rani, V Sreehari
Journal of Advanced Research in Applied Sciences and Engineering Technology …, 2023
92023
Augmented reality on sudoku puzzle using computer vision and deep learning
AT Syed, S Merugu, V Kumar
Advances in Cybernetics, Cognition, and Machine Learning for Communication …, 2020
82020
Fuzzy and Entropy based approach for Feature Extraction from Digital Image.
MD Ansari, VK Koppula, SP Ghrera
Pertanika Journal of Science & Technology 27 (2), 2019
82019
Nurse alarming device for bedridden patients using hand gesture recognition system
VK Koppula, D Sai Soumya, S Merugu
Advances in Cybernetics, Cognition, and Machine Learning for Communication …, 2020
62020
Segmentation of closely set and touching lines in handwritten document images using fringe maps
VK Koppula, A Negi
International Conference for Convergence for Technology-2014, 1-6, 2014
62014
ACRRFLN: Artificial chemical reaction of recurrent functional link networks for improved stock market prediction
SC Nayak, KV Kumar, K Jilla
Computational Intelligence in Data Mining: Proceedings of the International …, 2020
32020
Magnetic resonance based Wilson’s disease tissue characterization in an artificial intelligence framework using transfer learning
S Skandha, L Saba, SK Gupta, VK Kumar, AM Johri, NN Khanna, ...
Multimodality Imaging, Volume 1: Deep learning applications, 5-1-5-22, 2022
22022
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Artiklar 1–20