| 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 | 363 | 2021 |
| An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images G Vishnuvarthananan, M Pallikonda Rajasekaran, P Subbaraj, ... Applied Soft Computing 38 (2016), 190–212, 2016 | 194 | 2016 |
| High Performance Multiple Sclerosis Classification by Data Augmentation and AlexNet Transfer Learning Model YD Zhang, VV Govindaraj, C Tang, W Zhu, J Sun1 Journal of Medical Imaging and Health Informatics 9 (9), 1-10, 2019 | 128 | 2019 |
| Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm Yu-Dong Zhang, Guihu Zhao, Junding Sun, Xiaosheng Wu, Zhi-Heng Wang, Hong ... Multimedia Tools and Applications 76, 1-20, 2017 | 124* | 2017 |
| 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 | 82 | 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 | 64 | 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 | 63 | 2017 |
| A fully automated hybrid methodology using Cuckoo-based fuzzy clustering technique for magnetic resonance brain image segmentation. Alagarsamy S, Kamatchi K, Govindaraj V, Thiyagarajan A Int J Imaging Syst Technol. 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 saravanan Alagarsamy, Y Zhang, V Govindaraj, PR Murugan, S Sankaran IEEE Transactions on Fuzzy Systems, 1, 2020 | 39 | 2020 |
| 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 | 36 | 2022 |
| 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 Vishnuvarthanan Govindaraj, Pallikonda Rajasekaran Murugan International Journal of Imaging Systems and Technology 24 (4), 313–325, 2014 | 33 | 2014 |
| 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 11 (8), 1-14, 2021 | 31 | 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 Vishnuvarthananan, P Rajasekaran, V Govindaraj, Y Zhang, ... Expert Systems with Applications 95 (1), 280-311, 2018 | 28 | 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 | 26 | 2020 |
| Segmentation of MR Brain Images for Tumor Extraction Using Fuzzy G Vishnuvarthanan, M Pallikonda Rajasekaran Current Medical Imaging Reviews, February 2013, pp. 2-6(5) 9 (1), 2-6, 2013 | 25 | 2013 |
| 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 | 20 | 2017 |
| 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 |
| Smart recognition of real time face using convolution neural network (CNN) Technique S Alagarsamy, V Govindaraj, M Irfan, R Swami, NM Kumar vol 83, 23406-23411, 2020 | 19 | 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 | 19 | 2019 |
Pallikonda Rajasekaran MuruganKALASALINGAM UNIVERSITYVerified email at klu.ac.in