| Mathematical modelling to assess the impact of lockdown on COVID-19 transmission in India: model development and validation B Ambikapathy, K Krishnamurthy JMIR public health and surveillance 6 (2), e19368, 2020 | 112 | 2020 |
| Firefly algorithm assisted segmentation of tumor from brain MRI using Tsallis function and Markov random field V Rajinikanth, NSM Raja, K Kamalanand Journal of Control Engineering and Applied Informatics 19 (3), 97-106, 2017 | 97 | 2017 |
| Social-Group-Optimization based tumor evaluation tool for clinical brain MRI of Flair/diffusion-weighted modality N Dey, V Rajinikanth, F Shi, JMRS Tavares, L Moraru, KA Karthik, H Lin, ... Biocybernetics and Biomedical Engineering 39 (3), 843-856, 2019 | 81 | 2019 |
| Implementation of deep neural networks to classify EEG signals using gramian angular summation field for epilepsy diagnosis KP Thanaraj, B Parvathavarthini, UJ Tanik, V Rajinikanth, S Kadry, ... arXiv preprint arXiv:2003.04534, 2020 | 58 | 2020 |
| Deep neural network assisted diagnosis of time-frequency transformed electromyograms A Bakiya, K Kamalanand, V Rajinikanth, RS Nayak, S Kadry Multimedia Tools and Applications 79 (15), 11051-11067, 2020 | 52 | 2020 |
| Development of systems for classification of different plasmodium species in thin blood smear microscopic images K Manickavasagam, S Sutha, K Kamalanand Journal of Advanced Microscopy Research 9 (2), 86-92, 2014 | 51 | 2014 |
| Geometrical analysis of schistosome egg images using distance regularized level set method for automated species identification GK Vaishnavi, K Jeevananthan, SR Begum, K Kamalanand Journal of Bioinformatics and Intelligent Control 3 (2), 147-152, 2014 | 24 | 2014 |
| An automated system based on 2 d empirical mode decomposition and k-means clustering for classification of Plasmodium species in thin blood smear images K Manickavasagam, S Sutha, K Kamalanand BMC Infectious Diseases 14 (Suppl 3), P13, 2014 | 23 | 2014 |
| Analysis of electromyograms recorded using invasive and noninvasive electrodes: a study based on entropy and Lyapunov exponents estimated using artificial neural networks B Ambikapathy, K Krishnamurthy Journal of Ambient Intelligence and Humanized Computing, 1-9, 2024 | 22 | 2024 |
| Firefly-algorithm supported scheme to detect COVID-19 lesion in lung ct scan images using Shannon entropy and Markov-random-field V Rajinikanth, S Kadry, KP Thanaraj, K Kamalanand, S Seo arXiv preprint arXiv:2004.09239, 2020 | 21 | 2020 |
| Effect of gadolinium concentration on segmentation of vasculature in cardiopulmonary magnetic resonance angiograms K Kamalanand, S Ramakrishnan Journal of Medical Imaging and Health Informatics 5 (1), 147-151, 2015 | 21 | 2015 |
| Assessment of electromyograms using genetic algorithm and artificial neural networks B Ambikapathy, K Kirshnamurthy, R Venkatesan Evolutionary Intelligence 14 (2), 261-271, 2021 | 19 | 2021 |
| Effect of electrode contact area on the information content of the recorded electrogastrograms: An analysis based on Rényi entropy and Teager-Kaiser Energy P Alagumariappan, K Krishnamurthy, S Kandiah, MJ Ponnuswamy Polish Journal of Medical Physics and Engineering 23 (2), 37-42, 2017 | 18 | 2017 |
| Detecting epilepsy in EEG signals using synchro-extracting-transform (SET) supported classification technique V Rajinikanth, S Kadry, D Taniar, K Kamalanand, MA Elaziz, KP Thanaraj Journal of Ambient Intelligence and Humanized Computing 14 (8), 10123-10141, 2023 | 16 | 2023 |
| Comparison of particle swarm and bacterial foraging optimization algorithms for therapy planning in HIV/AIDS patients K Kamalanand, P Mannar Jawahar International Journal of Biomathematics 9 (02), 1650024, 2016 | 14 | 2016 |
| Coupled jumping frogs/particle swarm optimization for estimating the parameters of three dimensional HIV model K Kamalanand, PM Jawahar BMC Infectious Diseases 12 (Suppl 1), P82, 2012 | 14 | 2012 |
| Complexity analysis on normal and abnormal electrogastrograms using Tsallis entropy P Alagumariappan, A Rajagopal, K Krishnamurthy 3rd international electronic and flipped conference on entropy and its …, 2016 | 13 | 2016 |
| Prediction of human immunodeficiency virus-1 viral load from CD4 cell count using artificial neural networks K Kamalanand, PM Jawahar Journal of Medical Imaging and Health Informatics 5 (3), 641-646, 2015 | 13 | 2015 |
| An approach based on information theory for selection of systems for efficient recording of electrogastrograms P Alagumariappan, K Krishnamurthy Proceedings of the International Conference on Computing and Communication …, 2018 | 12 | 2018 |
| Prediction of the transition from subexponential to the exponential transmission of SARS-CoV-2 in Chennai, India: epidemic nowcasting K Krishnamurthy, B Ambikapathy, A Kumar, L De Britto JMIR public health and surveillance 6 (3), e21152, 2020 | 11 | 2020 |
Paramasivam AlagumariappanVelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology在 veltech.edu.in 的电子邮件经过验证
