NTIRE 2021 nonhomogeneous dehazing challenge report CO Ancuti, C Ancuti, FA Vasluianu, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 75 | 2021 |
Stroke prediction using SVM RS Jeena, S Kumar 2016 international conference on control, instrumentation, communication and …, 2016 | 73 | 2016 |
A comparative analysis of MRI and CT brain images for stroke diagnosis RS Jeena, S Kumar 2013 annual international conference on emerging research areas and 2013 …, 2013 | 38 | 2013 |
Stroke diagnosis from retinal fundus images using multi texture analysis RS Jeena, A Sukesh Kumar, K Mahadevan Journal of Intelligent & Fuzzy Systems 36 (3), 2025-2032, 2019 | 15 | 2019 |
A comparative analysis of stroke diagnosis from retinal images using hand-crafted features and CNN RS Jeena, G Shiny, A Sukesh Kumar, K Mahadevan Journal of Intelligent & Fuzzy Systems 41 (5), 5327-5335, 2021 | 8 | 2021 |
Analysis of stroke using texture features RS Jeena, S Kumar 2015 International conference on control communication & computing India …, 2015 | 6 | 2015 |
Deep neural network based multi-class arrhythmia classification KA Akhila Naz, RS Jeena, P Niyas Intelligent Systems, Technologies and Applications: Proceedings of Sixth …, 2021 | 5 | 2021 |
Machine intelligence in stroke prediction RS Jeena, S Kumar International Journal of Bioinformatics Research and Applications 14 (1-2 …, 2018 | 5 | 2018 |
Deep Neural Network Based Real Time Multi-Class Arrhythmia Classification in IoT-Cloud Platform ANAZ KA, RS Jeena, P Niyas | 4 | 2021 |
Artificial neural network based classification of healthy retina and retina of stroke patients RS Jeena, AS Kumar Lectures on Modelling and Simulation, 109-118, 2017 | 4 | 2017 |
Retina as a Biomarker of Stroke RS Jeena, A Sukeshkumar, K Mahadevan Computer Aided Intervention and Diagnostics in Clinical and Medical Images …, 2019 | 3 | 2019 |
A novel method for stroke prediction from retinal images using HoG approach RS Jeena, A Sukesh Kumar, K Mahadevan Advances in Signal Processing and Intelligent Recognition Systems: 4th …, 2019 | 3 | 2019 |
Computation of retinal fundus parameters for stroke prediction J Raveendran Susha, M K Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2020 | 2 | 2020 |
Development of a Stroke Risk Assessment Model for a Small Population in South Kerala Using Logistic Regression RS Jeena, A Sukeshkumar TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 350-355, 2019 | 2 | 2019 |
A Comparative Analysis of a Healthy Retina and Retina of a Stroke Patient RS Jeena, A Sukesh Kumar Modelling and Simulation in Science, Technology and Engineering Mathematics …, 2019 | 2 | 2019 |
Stroke risk assessment using ridge regression model RS Jeena, A SukeshKumar 2018 2nd International Conference on Trends in Electronics and Informatics …, 2018 | 2 | 2018 |
GUI Based Model for Stroke Prediction R Jeena, S Kumar International Journal of Engineering and Advanced Technology 6 (3), 123-125, 2017 | 2 | 2017 |
Brain mr image segmentation using enriched fcm S Asha, RS Jeena International Journal of Scientific & Engineering Research 4 (8), 14-17, 2013 | 2 | 2013 |
Reswave-Net: A wavelet based Residual U-Net for Brain Tumour Segmentation and Overall Survival Prediction E Shilna, AK Vinod, RS Jeena, PR Anurenjan, KG Sreeni 2023 International Conference on Control, Communication and Computing (ICCC …, 2023 | 1 | 2023 |
A 16 QAM RoF System based on Polarization Modulator JM Sruthi, A Chandrasenan, KG Sreeni, RS Jeena, J Zacharias 2021 IEEE International Conference on Electronics, Computing and …, 2021 | 1 | 2021 |