Muhammad E. H. Chowdhury
University of Nottingham(GB)
Publications by Year
Research Areas
COVID-19 diagnosis using AI, Non-Invasive Vital Sign Monitoring, EEG and Brain-Computer Interfaces, Radiomics and Machine Learning in Medical Imaging, ECG Monitoring and Analysis
Most-Cited Works
- → Can AI Help in Screening Viral and COVID-19 Pneumonia?(2020)1,871 cited
- → Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images(2021)1,089 cited
- → Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray(2020)599 cited
- → Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization(2020)577 cited
- → Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques(2021)352 cited
- → An Internet of Things Based Smart Waste Management System Using LoRa and Tensorflow Deep Learning Model(2020)267 cited
- → COVID-19 infection localization and severity grading from chest X-ray images(2022)189 cited
- → Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar(2019)173 cited
- → Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring(2019)157 cited
- → Deep learning techniques for liver and liver tumor segmentation: A review(2022)155 cited