| An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images A Vishnuvarthanan, MP Rajasekaran, V Govindaraj, Y Zhang, ... Applied Soft Computing 57, 399-426, 2017 | 58 | 2017 |
| A fully automated hybrid methodology using C uckoo‐based fuzzy clustering technique for magnetic resonance brain image segmentation S Alagarsamy, K Kamatchi, V Govindaraj, A Thiyagarajan International journal of Imaging systems and technology 27 (4), 317-332, 2017 | 40 | 2017 |
| Multi-channeled MR brain image segmentation: A novel double optimization approach combined with clustering technique for tumor identification and tissue segmentation A Narayanan, MP Rajasekaran, Y Zhang, V Govindaraj, A Thiyagarajan Biocybernetics and Biomedical Engineering 39 (2), 350-381, 2019 | 34 | 2019 |
| Development of a combinational framework to concurrently perform tissue segmentation and tumor identification in T1-W, T2-W, FLAIR and MPR type magnetic resonance brain images A Vishnuvarthanan, MP Rajasekaran, V Govindaraj, Y Zhang, ... Expert Systems with Applications 95, 280-311, 2018 | 27 | 2018 |
| Brain and pancreatic tumor segmentation using SRM and BPNN classification JR Dandu, AP Thiyagarajan, PR Murugan, V Govindaraj Health and Technology 10 (1), 187-195, 2020 | 24 | 2020 |
| Brain and Pancreatic Tumor Classification Based on GLCM—k-NN Approaches DJ Reddy, T Arun Prasath, M Pallikonda Rajasekaran, ... International Conference on Intelligent Computing and Applications …, 2019 | 20 | 2019 |
| Detached range based Ambulance Alerting System G Ramesh, V Muneeswaran, P Manikandan, TA Prasath 2021 International Conference on Advance Computing and Innovative …, 2021 | 17 | 2021 |
| Tumor detection in T1, T2, FLAIR and MPR brain images using a combination of optimization and fuzzy clustering improved by seed‐based region growing algorithm G Vishnuvarthanan, MP Rajasekaran, NA Vishnuvarthanan, TA Prasath, ... International Journal of Imaging Systems and Technology 27 (1), 33-45, 2017 | 17 | 2017 |
| Unsupervised learning‐based clustering approach for smart identification of pathologies and segmentation of tissues in brain magnetic resonance imaging S Vigneshwaran, V Govindaraj, PR Murugan, Y Zhang, T Arun Prasath International Journal of Imaging Systems and Technology 29 (4), 439-456, 2019 | 9 | 2019 |
| Synthesis and characterization of banana peel starch-based bioplastic for intravenous tubes preparation M Vijayalaksmi, V Govindaraj, M Anisha, N Vigneshwari, M Gokul, ... Materials Today Communications 33, 104464, 2022 | 8 | 2022 |
| Brain Subject Estimation Using PSO K-Means Clustering-An Automated Aid for the Assessment of Clinical Dementia P Rajesh Kumar, T Arun Prasath, M Pallikonda Rajasekaran, ... Information and Communication Technology for Intelligent Systems (ICTIS 2017 …, 2018 | 8 | 2018 |
| Short notes on unsupervised learning method with clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images V Govindaraj, A Vishnuvarthanan, A Thiagarajan, M Kannan, ... J Clin Exp Neuroimmunol 1 (101), 2, 2016 | 8 | 2016 |
| Reconstruction of PET brain image using conjugate gradient algorithm T Arunprasath, MP Rajasekaran, S Kannan, VA Kalasalingam 2012 World Congress on Information and Communication Technologies, 73-78, 2012 | 6 | 2012 |
| A Smart Medicine Box for Medication Management Using IoT TA Prasath, BNG Krishna, SA Kumar, G Karthick, G Vishnuvarthanan, ... 2021 3rd International Conference on Advances in Computing, Communication …, 2021 | 5 | 2021 |
| An aphoristic study on different interpolation techniques for medical image scaling and its comparative analysis G Ramesh, TA Prasath 2021 International Conference on Computer Communication and Informatics …, 2021 | 5 | 2021 |
| Image renovation in positron emission tomography using recursive algorithm T Arunprasath, MP Rajasekaran, S Kannan, RBM Pandian 2012 IEEE International Conference on Computational Intelligence and …, 2012 | 5 | 2012 |
| WITHDRAWN: Power factor correction and THD minimization in boost converter with PID controller MP Jeyaraj, MS Kumar, TA Prasath, S Muthulakshmi, S Aiswariya Materials Today: Proceedings, 2021 | 4 | 2021 |
| Energy demand classification by probabilistic neural network for medical diagnosis applications. C Shilaja, T Arunprasath Neural Computing & Applications 32 (15), 2020 | 4 | 2020 |
| Brain subject segmentation in MR image for classifying Alzheimer’s disease using AdaBoost with information fuzzy network classifier P Rajesh Kumar, T Arun Prasath, M Pallikonda Rajasekaran, ... Soft Computing in Data Analytics: Proceedings of International Conference on …, 2019 | 4 | 2019 |
| Thresholding Based Soil Feature Extraction from Digital Image Samples–A Vision Towards Smarter Agrology M Arunpandian, T Arunprasath, G Vishnuvarthanan, MP Rajasekaran Information and Communication Technology for Intelligent Systems (ICTIS 2017 …, 2018 | 4 | 2018 |
KANNAN SUBRAMANIANProfessor, Electrical and Electronics Engineering, Ramco Institute of Technology, Rajapalayam在 ritrjpm.ac.in 的电子邮件经过验证
