| Attention embedded residual CNN for disease detection in tomato leaves R Karthik, M Hariharan, S Anand, P Mathikshara, A Johnson, R Menaka Applied Soft Computing 86, 105933, 2020 | 424 | 2020 |
| Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN R Karthik, R Menaka, M Hariharan Applied Soft Computing 99, 106744, 2021 | 113 | 2021 |
| A fuzzy recommendation system for predicting the customers interests using sentiment analysis and ontology in e-commerce RV Karthik, S Ganapathy Applied Soft Computing 108, 107396, 2021 | 98 | 2021 |
| Neuroimaging and deep learning for brain stroke detection-A review of recent advancements and future prospects R Karthik, R Menaka, A Johnson, S Anand Computer Methods and Programs in Biomedicine 197, 105728, 2020 | 76 | 2020 |
| A deep supervised approach for ischemic lesion segmentation from multimodal MRI using Fully Convolutional Network R Karthik, U Gupta, A Jha, R Rajalakshmi, R Menaka Applied Soft Computing 84, 105685, 2019 | 64 | 2019 |
| Eff2Net: An efficient channel attention-based convolutional neural network for skin disease classification R Karthik, TS Vaichole, SK Kulkarni, O Yadav, F Khan Biomedical Signal Processing and Control 73, 103406, 2022 | 61 | 2022 |
| A multi-scale approach for detection of ischemic stroke from brain MR images using discrete curvelet transformation R Karthik, R Menaka Measurement 100, 223-232, 2017 | 47 | 2017 |
| Contour-enhanced attention CNN for CT-based COVID-19 segmentation R Karthik, R Menaka, M Hariharan, D Won Pattern Recognition 125, 108538, 2022 | 43 | 2022 |
| Image stitching with combined moment invariants and sift features AA Fathima, R Karthik, V Vaidehi Procedia Computer Science 19, 420-427, 2013 | 39 | 2013 |
| Disease detection in rice leaves using transfer learning techniques G Kathiresan, M Anirudh, M Nagharjun, R Karthik Journal of Physics: Conference Series 1911 (1), 012004, 2021 | 38 | 2021 |
| A comprehensive framework for classification of brain tumour images using SVM and curvelet transform R Karthik, R Menaka, C Chellamuthu International Journal of Biomedical Engineering and Technology 17 (2), 168-177, 2015 | 37 | 2015 |
| Classification of breast cancer from histopathology images using an ensemble of deep multiscale networks R Karthik, R Menaka, MV Siddharth Biocybernetics and biomedical engineering 42 (3), 963-976, 2022 | 35 | 2022 |
| Discrete wavelet transform based spectrum sensing in futuristic cognitive radios A Chandran, RA Karthik, A Kumar, MS Siva, US Iyer, R Ramanathan, ... 2011 International Conference on Devices and Communications (ICDeCom), 1-4, 2011 | 27 | 2011 |
| Performance analysis of deep learning models for detection of autism spectrum disorder from EEG signals. M Radhakrishnan, K Ramamurthy, KK Choudhury, D Won, TA Manoharan Traitement du Signal 38 (3), 2021 | 26 | 2021 |
| Ischemic lesion segmentation using ensemble of multi-scale region aligned CNN R Karthik, R Menaka, M Hariharan, D Won Computer Methods and Programs in Biomedicine 200, 105831, 2021 | 25 | 2021 |
| Panoramic view creation using invariant momentsand SURF features R Karthik, A AnnisFathima, V Vaidehi 2013 International Conference on Recent Trends in Information Technology …, 2013 | 24 | 2013 |
| A recommendation system for online purchase using feature and product ranking RV Karthik, S Ganapathy, A Kannan 2018 Eleventh International Conference on Contemporary Computing (IC3), 1-6, 2018 | 23 | 2018 |
| Modeling the voltage nonlinearity of high-k MIM capacitors D Kannadassan, R Karthik, MS Baghini, PS Mallick Solid-state electronics 91, 112-117, 2014 | 23 | 2014 |
| Design of kids-specific URL classifier using Recurrent Convolutional Neural Network R Rajalakshmi, H Tiwari, J Patel, A Kumar, R Karthik Procedia Computer Science 167, 2124-2131, 2020 | 22 | 2020 |
| Automatic detection of Alzheimer's disease using deep learning models and neuro-imaging: current trends and future perspectives T Illakiya, R Karthik Neuroinformatics 21 (2), 339-364, 2023 | 20 | 2023 |
