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 | 531 | 2020 |
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 | 134 | 2021 |
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 | 122 | 2021 |
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 | 101 | 2022 |
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 | 101 | 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 | 70 | 2019 |
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 | 54 | 2022 |
Contour-enhanced attention CNN for CT-based COVID-19 segmentation R Karthik, R Menaka, M Hariharan, D Won Pattern Recognition 125, 108538, 2022 | 54 | 2022 |
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 | 52 | 2021 |
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 | 48 | 2017 |
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 | 42 | 2023 |
Image stitching with combined moment invariants and sift features AA Fathima, R Karthik, V Vaidehi Procedia Computer Science 19, 420-427, 2013 | 39 | 2013 |
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 | 38 | 2015 |
AHANet: Adaptive hybrid attention network for Alzheimer’s disease classification using brain magnetic resonance imaging T Illakiya, K Ramamurthy, MV Siddharth, R Mishra, A Udainiya Bioengineering 10 (6), 714, 2023 | 36 | 2023 |
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 | 35 | 2021 |
Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighbors J Sivakumar, K Ramamurthy, M Radhakrishnan, D Won Knowledge-based systems 236, 107687, 2022 | 34 | 2022 |
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 | 34 | 2021 |
Gaussian dropout based stacked ensemble CNN for classification of breast tumor in ultrasound images R Karthik, R Menaka, GS Kathiresan, M Anirudh, M Nagharjun Irbm 43 (6), 715-733, 2022 | 29 | 2022 |
Efficacy and challenges in the treatment of diastasis recti abdominis—a scoping review on the current trends and future perspectives M Radhakrishnan, K Ramamurthy Diagnostics 12 (9), 2044, 2022 | 29 | 2022 |
A novel multi-feature fusion method for classification of gastrointestinal diseases using endoscopy images K Ramamurthy, TT George, Y Shah, P Sasidhar Diagnostics 12 (10), 2316, 2022 | 28 | 2022 |