| An IoT based patient monitoring system using raspberry Pi R Kumar, MP Rajasekaran 2016 International Conference on Computing Technologies and Intelligent Data …, 2016 | 255 | 2016 |
| An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images G Vishnuvarthanan, MP Rajasekaran, P Subbaraj, A Vishnuvarthanan Applied Soft Computing 38, 190-212, 2016 | 172 | 2016 |
| EEG signal classification using Principal Component Analysis with Neural Network in Brain Computer Interface applications R Kottaimalai, MP Rajasekaran, V Selvam, B Kannapiran 2013 International Conference on Emerging Trends in Computing …, 2013 | 102 | 2013 |
| Comparison of image compression techniques using huffman coding, DWT and fractal algorithm RP Jasmi, B Perumal, MP Rajasekaran 2015 International Conference on Computer Communication and Informatics …, 2015 | 63 | 2015 |
| EEG signal classification using principal component analysis and wavelet transform with neural network SS Lekshmi, V Selvam, MP Rajasekaran 2014 International Conference on Communication and Signal Processing, 687-690, 2014 | 62 | 2014 |
| Elderly patient monitoring system using a wireless sensor network MP Rajasekaran, S Radhakrishnan, P Subbaraj Telemedicine and e-Health 15 (1), 73-79, 2009 | 60 | 2009 |
| 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 | 57 | 2017 |
| Sensor grid applications in patient monitoring MP Rajasekaran, S Radhakrishnan, P Subbaraj Future Generation Computer Systems 26 (4), 569-575, 2010 | 51 | 2010 |
| VLSI implementation of image compression using TSA optimized discrete wavelet transform techniques P Nagaraj, MP Rajasekaran, V Muneeswaran, KM Sudar, K Gokul 2020 Third International Conference on Smart Systems and Inventive …, 2020 | 45 | 2020 |
| Indigenous health tracking analyzer using IoT V Muneeswaran, MP Nagaraj, MP Rajasekaran, NS Chaithanya, ... 2021 6th International Conference on Communication and Electronics Systems …, 2021 | 43 | 2021 |
| Brain computer interface for neurodegenerative person using electroencephalogram L Junwei, S Ramkumar, G Emayavaramban, M Thilagaraj, ... IEEE Access 7, 2439-2452, 2018 | 39 | 2018 |
| Performance evaluation of radial basis function networks based on tree seed algorithm V Muneeswaran, MP Rajasekaran 2016 international conference on circuit, power and computing technologies …, 2016 | 34 | 2016 |
| 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 | 33 | 2019 |
| Beltrami-regularized denoising filter based on tree seed optimization algorithm: an ultrasound image application V Muneeswaran, M Pallikonda Rajasekaran Information and Communication Technology for Intelligent Systems (ICTIS 2017 …, 2018 | 32 | 2018 |
| A complete automated algorithm for segmentation of tissues and identification of tumor region in T1, T2, and FLAIR brain images using optimization and clustering techniques V Govindaraj, PR Murugan International journal of imaging systems and technology 24 (4), 313-325, 2014 | 32 | 2014 |
| Smart identification of topographically variant anomalies in brain magnetic resonance imaging using a fish school-based fuzzy clustering approach S Alagarsamy, YD Zhang, V Govindaraj, MP Rajasekaran, S Sankaran IEEE Transactions on Fuzzy Systems 29 (10), 3165-3177, 2020 | 31 | 2020 |
| Local contrast regularized contrast limited adaptive histogram equalization using tree seed algorithm—an aid for mammogram images enhancement V Muneeswaran, M Pallikonda Rajasekaran Smart Intelligent Computing and Applications: Proceedings of the Second …, 2019 | 30 | 2019 |
| Automatic detection and classification of knee osteoarthritis using deep learning approach SS Abdullah, MP Rajasekaran La radiologia medica 127 (4), 398-406, 2022 | 29 | 2022 |
| Tsallis entropy: as a new single feature with the least computation time for classification of epileptic seizures M Thilagaraj, M Pallikonda Rajasekaran, N Arun Kumar Cluster Computing 22, 15213-15221, 2019 | 29 | 2019 |
| Offline analysis for designing electrooculogram based human computer interface control for paralyzed patients G Jialu, S Ramkumar, G Emayavaramban, M Thilagaraj, V Muneeswaran, ... IEEE Access 6, 79151-79161, 2018 | 29 | 2018 |
Dr.V. Muneeswaran,M.E.,Ph.D.,Associate Professor, Department of ECE,Kalasalingam Academy of Research and EducationVerified email at klu.ac.in
