| Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network SH Wang, VV Govindaraj, JM Górriz, X Zhang, YD Zhang Information Fusion 67, 208-229, 2021 | 347 | 2021 |
| 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 | 183 | 2016 |
| Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm YD Zhang, G Zhao, J Sun, X Wu, ZH Wang, HM Liu, VV Govindaraj, ... Multimedia Tools and Applications 77, 22629-22648, 2018 | 118 | 2018 |
| High performance multiple sclerosis classification by data augmentation and AlexNet transfer learning model YD Zhang, VV Govindaraj, C Tang, W Zhu, J Sun Journal of Medical Imaging and Health Informatics 9 (9), 2012-2021, 2019 | 116 | 2019 |
| Deep Rank-Based Average Pooling Network for Covid-19 Recognition. SH Wang, MA Khan, V Govindaraj, SL Fernandes, Z Zhu, YD Zhang Computers, Materials & Continua 70 (2), 2022 | 77 | 2022 |
| Multi-channeled MR brain image segmentation: A new automated approach combining BAT and clustering technique for better identification of heterogeneous tumors S Alagarsamy, K Kamatchi, V Govindaraj, YD Zhang, A Thiyagarajan Biocybernetics and Biomedical Engineering 39 (4), 1005-1035, 2019 | 60 | 2019 |
| 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 | 54 | 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 | 41 | 2017 |
| 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 | 35 | 2020 |
| 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 | 35 | 2019 |
| 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 |
| A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM … SK Rajeev, MP Rajasekaran, G Vishnuvarthanan, T Arunprasath Biomedical Signal Processing and Control 78, 103949, 2022 | 30 | 2022 |
| Explainable diagnosis of secondary pulmonary tuberculosis by graph rank-based average pooling neural network SH Wang, V Govindaraj, JM Gorriz, X Zhang, YD Zhang Journal of Ambient Intelligence and Humanized Computing, 1-14, 2021 | 29 | 2021 |
| 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 |
| Segmentation of MR brain images for tumor extraction using fuzzy G Vishnuvarthanan, M Pallikonda Rajasekaran Current Medical Imaging 9 (1), 2-6, 2013 | 25 | 2013 |
| 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 | 23 | 2020 |
| Computer-aided automated discrimination of Alzheimer's disease and its clinical progression in magnetic resonance images using hybrid clustering and game theory-based … PR Kumar, T Arunprasath, MP Rajasekaran, G Vishnuvarthanan Computers & Electrical Engineering 72, 283-295, 2018 | 21 | 2018 |
| Prediction of lung cancer using meta-heuristic based optimization technique: Crow search technique S Alagarsamy, RR Subramanian, T Shree, M Balasubramanian, ... 2021 International Conference on Computing, Communication, and Intelligent …, 2021 | 19 | 2021 |
| 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 | 19 | 2019 |
| A Novel Technique for identification of tumor region in MR Brain Image S Alagarsamy, K Kamatchi, V Govindaraj 2019 3rd International conference on Electronics, Communication and …, 2019 | 18 | 2019 |
Pallikonda Rajasekaran MuruganKALASALINGAM UNIVERSITY在 klu.ac.in 的电子邮件经过验证
