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Computers in Biology and Medicine|March 21, 2025
Enhancing skin disease classification leveraging transformer-based deep learning architectures and explainable AIJayanth Mohan, Arrun Sivasubramanian, Sowmya V, et al.
Physical and Engineering Sciences in Medicine|May 28, 2025
Efficient feature extraction using light-weight CNN attention-based deep learning architectures for ultrasound fetal plane classificationArrun Sivasubramanian, Divya Sasidharan, V Sowmya, et al.
Cancers|December 11, 2022
Attention Cost-Sensitive Deep Learning-Based Approach for Skin Cancer Detection and ClassificationVinayakumar Ravi
Bioengineering (Basel, Switzerland)|December 23, 2023
Medical Data Analysis Meets Artificial Intelligence (AI) and Internet of Medical Things (IoMT)Manoj Diwakar, Prabhishek Singh, Vinayakumar Ravi
Cluster Computing|July 25, 2022
A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray imagesVinayakumar Ravi, Vasundhara Acharya, Mamoun Alazab
Health and Technology|October 17, 2022
Predictive analytics of COVID-19 cases and tourist arrivals in ASEAN based on covid-19 casesShubashini Rathina Velu, Vinayakumar Ravi, Kayalvily Tabianan
Health and Technology|November 21, 2022
Data mining in predicting liver patients using classification modelShubashini Rathina Velu, Vinayakumar Ravi, Kayalvily Tabianan
Diagnostics (Basel, Switzerland)|March 11, 2023
A Non-Conventional Review on Multi-Modality-Based Medical Image FusionManoj Diwakar, Prabhishek Singh, Vinayakumar Ravi, et al.
Scientific Reports|June 24, 2024
Tongue image fusion and analysis of thermal and visible images in diabetes mellitus using machine learning techniquesUsharani Thirunavukkarasu, Snekhalatha Umapathy, Vinayakumar Ravi, et al.
Multimedia Systems|July 12, 2021
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray imagesVinayakumar Ravi, Harini Narasimhan, Chinmay Chakraborty, et al.
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