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Dr. N Jagan Mohan
Dr. N Jagan Mohan
National Institute of Technology Silchar, Indian Institute of Technology Delhi
Подтвержден адрес электронной почты в домене ece.nits.ac.in
Название
Процитировано
Процитировано
Год
Preliminary diagnosis of COVID-19 based on cough sounds using machine learning algorithms
A Anupam, NJ Mohan, S Sahoo, S Chakraborty
2021 5th International Conference on Intelligent Computing and Control …, 2021
372021
A novel four-step feature selection technique for diabetic retinopathy grading
N Jagan Mohan, R Murugan, T Goel, S Mirjalili, P Roy
Physical and Engineering Sciences in Medicine 44 (4), 1351-1366, 2021
352021
Fast and robust exudate detection in retinal fundus images using extreme learning machine autoencoders and modified kaze features
NJ Mohan, R Murugan, T Goel, P Roy
Journal of Digital Imaging 35 (3), 496-513, 2022
302022
DRFL: federated learning in diabetic retinopathy grading using fundus images
NJ Mohan, R Murugan, T Goel, P Roy
IEEE Transactions on Parallel and Distributed Systems 34 (6), 1789-1801, 2023
282023
Vit-dr: Vision transformers in diabetic retinopathy grading using fundus images
NJ Mohan, R Murugan, T Goel, P Roy
2022 IEEE 10th region 10 humanitarian technology conference (R10-HTC), 167-172, 2022
242022
Exudate localization in retinal fundus images using modified speeded up robust features algorithm
NJ Mohan, R Murugan, T Goel, P Roy
2020 IEEE-EMBS Conference on biomedical engineering and sciences (IECBES …, 2021
162021
Deep learning for diabetic retinopathy detection: Challenges and opportunities
N Jagan Mohan, R Murugan, T Goel
Next Generation Healthcare Informatics, 213-232, 2022
152022
An Improved Accuracy Rate in Microaneurysms Detection in Retinal Fundus Images Using Non-local Mean Filter
NJ Mohan, R Murugan, T Goel, P Roy
International Conference on Machine Learning, Image Processing, Network …, 2020
142020
Machine learning algorithms for hypertensive retinopathy detection through retinal fundus images
NJ Mohan, R Murugan, T Goel
Computer Vision and Recognition Systems, 39-67, 2022
122022
Optic disc segmentation in fundus images using operator splitting approach
NJ Mohan, R Murugan, T Goel, P Roy
2020 advanced communication technologies and signal processing (ACTS), 1-5, 2020
112020
Exudate detection with improved u-net using fundus images
NJ Mohan, R Murugan, T Goel, P Roy
2021 International conference on computational performance evaluation (ComPE …, 2021
102021
Optimal hybrid feature selection technique for diabetic retinopathy grading using fundus images
NJ Mohan, R Murugan, T Goel, S Mirjalili, YK Singh, D Deb, P Roy
Sādhanā 48 (3), 102, 2023
82023
Gil-cnn: A novel multipath features for covid-19 detection using ct-scan images
N Jagan Mohan, DNK Pandiri
IETE Journal of Research 69 (12), 8804-8815, 2023
52023
Role of Machine and Deep Learning Techniques in Diabetic Retinopathy Detection
JM Nagula, M R., T Goel
Multidisciplinary Applications of Deep Learning-Based Artificial Emotional …, 2022
52022
Investigations of Diabetic Retinopathy Algorithms in Retinal Fundus Images
NJ Mohan, R Murugan, T Goel
International Journal of Image Processing and Pattern Recognition 6 (1), 14-26, 2020
52020
Vision transformers in diabetic retinopathy grading using fundus images
NJ Mohan, R Murugan, T Goel, PVTDR Roy
Proceedings of the 2022 IEEE 10th Region 10, 0
5
Amdnet: Age-related macular degeneration diagnosis through retinal fundus images using lightweight convolutional neural network
K Venneti, H Kashyap, R Murugan, NJ Mohan, T Goel
2022 IEEE Silchar Subsection Conference (SILCON), 1-6, 2022
42022
An efficient microaneurysms detection approach in retinal fundus images
NJ Mohan, R Murugan, T Goel, M Tanveer, P Roy
International Journal of Machine Learning and Cybernetics 14 (4), 1235-1252, 2023
12023
DR-FL: A novel diabetic retinopathy grading with federated learning using fundus images
N Jagan Mohan, R Murugan, T Goel
North-East Research Conclave, 355-366, 2022
12022
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Статьи 1–19