Muhammad E. H. Chowdhury

Researcher Next ID · RN-024242

Researcher · Medicine

Nottingham, Qatar

Not currently recruitingFunding unknown

Research interests

Medicine

Engineering

Neuroscience

COVID-19 diagnosis using AI

Non-Invasive Vital Sign Monitoring

EEG and Brain-Computer Interfaces

ECG Monitoring and Analysis

Radiomics and Machine Learning in Medical Imaging

Deep learning in automated power line inspection: A review
Applied Energy · 2025 · https://doi.org/10.1016/j.apenergy.2025.125507
Osegnet: Operational Segmentation Network for Covid-19 Detection Using Chest X-Ray Images
2022 IEEE International Conference on Image Processing (ICIP) · 2022 · https://doi.org/10.1109/icip46576.2022.9897412
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
AgriEngineering · 2021 · https://doi.org/10.3390/agriengineering3020020
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Computers in Biology and Medicine · 2021 · https://doi.org/10.1016/j.compbiomed.2021.104319
An Internet of Things Based Smart Waste Management System Using LoRa and Tensorflow Deep Learning Model
IEEE Access · 2020 · https://doi.org/10.1109/access.2020.3016255
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray
Applied Sciences · 2020 · https://doi.org/10.3390/app10093233
Can AI Help in Screening Viral and COVID-19 Pneumonia?
IEEE Access · 2020 · https://doi.org/10.1109/access.2020.3010287
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization
IEEE Access · 2020 · https://doi.org/10.1109/access.2020.3031384
Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring
Sensors · 2019 · https://doi.org/10.3390/s19122781

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