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Dr. R. Karthik
Dr. R. Karthik
Centre for Cyber Physical Systems, Vellore Institute of Technology, Chennai
Подтвержден адрес электронной почты в домене vit.ac.in - Главная страница
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Год
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
5312020
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
1342021
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
1222021
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
1012022
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
1012020
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
702019
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
542022
Contour-enhanced attention CNN for CT-based COVID-19 segmentation
R Karthik, R Menaka, M Hariharan, D Won
Pattern Recognition 125, 108538, 2022
542022
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
522021
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
482017
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
422023
Image stitching with combined moment invariants and sift features
AA Fathima, R Karthik, V Vaidehi
Procedia Computer Science 19, 420-427, 2013
392013
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
382015
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
362023
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
352021
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
342022
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
342021
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
292022
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
292022
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
282022
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