| A novel nature inspired fuzzy tsallis entropy segmentation of magnetic resonance images AS Venkatesan, L Parthiban Neuroquantology 12 (2), 2014 | 15 | 2014 |
| Medical Image Segmentation With Fuzzy C-Means and Kernelized Fuzzy C-Means Hybridized on PSO and QPSO. A Venkatesan, L Parthiban International Arab Journal of Information Technology (IAJIT) 14 (1), 2017 | 12 | 2017 |
| Web usage mining techniques and applications across industries AV Kumar igi global, 2016 | 10 | 2016 |
| Minimization of total weighted earliness and tardiness using PSO for one machine scheduling SE Jayanthi, S Anusuya International Journal of Pure and Applied Mathematical Sciences 10 (1), 35-44, 2017 | 8 | 2017 |
| Improving classification of retinal fundus image using flow dynamics optimized deep learning methods V Banupriya, S Anusuya arXiv preprint arXiv:2305.00294, 2023 | 5 | 2023 |
| Minimizing Earliness and Tardiness Costs with Fuzzy Processing Times and Due Dates in Single Machine Scheduling Using QPSO SE Jayanthi, S Karthigeyan, S Anusuya International Journal of Pure and Applied Mathematics 115 (8), 437-442, 2017 | 5 | 2017 |
| Clustering of datasets using PSO-K-Means and PCA-K-means A Venkatesan, L Parthiban Int. J. Comput. Intel. Inf, 180-184, 2011 | 5 | 2011 |
| The Detection of Video Shot Transitions Based on Primary Segments Using the Adaptive Threshold of Colour-Based Histogram Differences and Candidate Segments Using the SURF … A Kalaivani, S Anusuya Symmetry 14 (10), 2041, 2022 | 4 | 2022 |
| Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm P Kalaiselvi, S Anusuya arXiv preprint arXiv:2311.11520, 2023 | 3 | 2023 |
| Design Of Bio-Inspired Algorithm For Optimizing The Feature Selection Prepared For Classification In Liver Tumor Detection P Kalaiselvi, S Anusuya Indian Journal of Computer Science and Engineering 13 (4), 1185-1196, 2022 | 3 | 2022 |
| Hybridized algorithms for medical image segmentation A Venkatesan, L Parthiban Int. J. Eng. Adv. Technol 2 (3), 305-307, 2013 | 3 | 2013 |
| Efficient hybridized fuzzy clustering with fcm-iqpso for biomedical datasets S Anusuya, L Parthiban Annual Research & Review in Biology 4 (17), 2684, 2014 | 2 | 2014 |
| Performance Evaluation of a Multi-Class Classification Model for Marine Objects G George 2023 12th International Conference on Advanced Computing (ICoAC), 1-8, 2023 | 1 | 2023 |
| Designing framework to secure data using K Means clustering based outlier Detection (KCOD) algorithm S Nithinsha, S Anusuya Journal of Intelligent & Fuzzy Systems 44 (1), 1057-1068, 2023 | 1 | 2023 |
| Detection of Tumor From Brain MRI Images Using Supervised and Unsupervised Methods S Kannan, S Anusuya AI Innovation in Medical Imaging Diagnostics, 61-75, 2021 | 1 | 2021 |
| Optimized clustering techniques with special focus to biomedical datasets AS Venkatesan Computational Tools and Techniques for Biomedical Signal Processing, 333-360, 2017 | 1 | 2017 |
| A novel optimized adaptive learning approach of rbf on biomedical data sets AS Venkatesan, L Parthiban Research Journal of Applied Sciences, Engineering and Technology 8 (4), 541-547, 2014 | 1 | 2014 |
| Medical image thresholding using WQPSO and maximum entropy A Venkatesan, L Parthiban Proceedings of the International Conference on Advances in Computing …, 2012 | 1 | 2012 |
| Advancing Brain Tumor Analysis through Dynamic Hierarchical Attention for Improved Segmentation and Survival Prognosis. S Kannan, S Anusuya Computers, Materials & Continua 77 (3), 2023 | | 2023 |
| Exploring Novel CNN Architectures for Deep Learning-Based Liver Tumor Occurrence Prediction P Kalaiselvi, S Anusuya, A Kumaravel, C Esther, G Gomathy, A Aravind 2023 Intelligent Computing and Control for Engineering and Business Systems …, 2023 | | 2023 |
