| 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 | 520 | 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 | 121 | 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 | 102 | 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 | 68 | 2019 |
| 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 |
| 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 | 52 | 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 |
| A methodical review on image stitching and video stitching techniques S Pravenaa, R Menaka International Journal of Applied Engineering Research 11 (5), 3442-3448, 2016 | 41 | 2016 |
| 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 | 35 | 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 | 35 | 2015 |
| 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 |
| 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 | 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 | 28 | 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 | 28 | 2022 |
| Ai for COVID-19 detection from radiographs: Incisive analysis of state of the art techniques, key challenges and future directions R Karthik, R Menaka, M Hariharan, GS Kathiresan IRBM 43 (5), 486-510, 2022 | 26 | 2022 |
| Delineation of ischemic lesion from brain MRI using attention gated fully convolutional network R Karthik, M Radhakrishnan, R Rajalakshmi, J Raymann Biomedical Engineering Letters 11, 3-13, 2021 | 26 | 2021 |
| Ischemic stroke lesion detection, characterization and classification in CT images with optimal features selection R Kanchana, R Menaka Biomedical Engineering Letters 10 (3), 333-344, 2020 | 21 | 2020 |
| EEG signal and video analysis based depression indication Y Katyal, SV Alur, S Dwivedi, R Menaka 2014 IEEE international conference on advanced communications, control and …, 2014 | 21 | 2014 |
| CT-based severity assessment for COVID-19 using weakly supervised non-local CNN R Karthik, R Menaka, M Hariharan, D Won Applied Soft Computing 121, 108765, 2022 | 20 | 2022 |
| An improved AlexNet model and cepstral coefficient-based classification of autism using EEG R Menaka, R Karthik, S Saranya, M Niranjan, S Kabilan Clinical EEG and Neuroscience 55 (1), 43-51, 2024 | 18 | 2024 |
