| Deep-learning framework to detect lung abnormality–A study with chest X-Ray and lung CT scan images A Bhandary, GA Prabhu, V Rajinikanth, KP Thanaraj, SC Satapathy, ... Pattern Recognition Letters 129, 271-278, 2020 | 394 | 2020 |
| A customized VGG19 network with concatenation of deep and handcrafted features for brain tumor detection V Rajinikanth, AN Joseph Raj, KP Thanaraj, GR Naik Applied Sciences 10 (10), 3429, 2020 | 122 | 2020 |
| Schizophrenia detection using Multivariate Empirical Mode Decomposition and entropy measures from multichannel EEG signal PT Krishnan, ANJ Raj, P Balasubramanian, Y Chen Biocybernetics and Biomedical Engineering 40 (3), 1124-1139, 2020 | 106 | 2020 |
| Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network PT Krishnan, P Balasubramanian, S Umapathy Physical and Engineering Sciences in Medicine, 1-11, 2020 | 105 | 2020 |
| Development of a machine-learning system to classify lung CT scan images into normal/COVID-19 class S Kadry, V Rajinikanth, S Rho, NSM Raja, VS Rao, KP Thanaraj arXiv preprint arXiv:2004.13122, 2020 | 69 | 2020 |
| Emotion classification from speech signal based on empirical mode decomposition and non-linear features: Speech emotion recognition PT Krishnan, AN Joseph Raj, V Rajangam Complex & Intelligent Systems 7, 1919-1934, 2021 | 62 | 2021 |
| 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 |
| Segmentation of brain regions by integrating meta heuristic multilevel threshold with markov random field P T Krishnan, P Balasubramanian, C Krishnan Current Medical Imaging 12 (1), 4-12, 2016 | 53 | 2016 |
| Shannon’s entropy and watershed algorithm based technique to inspect ischemic stroke wound V Rajinikanth, K Palani Thanaraj, SC Satapathy, SL Fernandes, N Dey Smart Intelligent Computing and Applications: Proceedings of the Second …, 2019 | 52 | 2019 |
| Human tongue thermography could be a prognostic tool for prescreening the type II diabetes mellitus U Thirunavukkarasu, S Umapathy, PT Krishnan, K Janardanan Evidence‐Based Complementary and Alternative Medicine 2020 (1), 3186208, 2020 | 31 | 2020 |
| Shape and texture aware facial expression recognition using spatial pyramid Zernike moments and law’s textures feature set VGV Mahesh, C Chen, V Rajangam, ANJ Raj, PT Krishnan IEEE Access 9, 52509-52522, 2021 | 26 | 2021 |
| Automated EEG seizure detection based on S-transform PT Krishnan, P Balasubramanian 2016 IEEE international conference on computational intelligence and …, 2016 | 22 | 2016 |
| Deep learning techniques for automated detection of autism spectrum disorder based on thermal imaging K Ganesh, S Umapathy, P Thanaraj Krishnan Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2021 | 21 | 2021 |
| 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 |
| Computer aided diagnosis of obesity based on thermal imaging using various convolutional neural networks U Snekhalatha, K Palani Thanaraj, K Sangamithirai Biomedical Signal Processing and Control 63, 102233, 2021 | 20 | 2021 |
| Detection of alphabets for machine translation of sign language using deep neural net PT Krishnan, P Balasubramanian 2019 International Conference on Data Science and Communication (IconDSC), 1-3, 2019 | 20 | 2019 |
| Convolutional neural network in the detection of lung carcinoma using transfer learning approach D Lakshmi, KP Thanaraj, M Arunmozhi International Journal of Imaging Systems and Technology, 2019 | 18 | 2019 |
| Multichannel interictal spike activity detection using time–frequency entropy measure P Thanaraj, B Parvathavarthini Australasian Physical & Engineering Sciences in Medicine 40, 413-425, 2017 | 17 | 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 | 15 | 2023 |
| Feature extraction and selection of a combination of entropy features for real-time epilepsy detection B Abhinaya, D Charanya, KP Thanaraj International Journal Of Engineering And Computer Science 5 (4), 2016 | 15 | 2016 |
snehalatha umapathySRM institute of science and technology在 srmist.edu.in 的电子邮件经过验证
