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Computers in Biology and Medicine|September 17, 2021
A machine learning model for early detection of diabetic foot using thermogram imagesAmith Khandakar, Muhammad E H Chowdhury, Mamun Bin Ibne Reaz, et al.
Sensors (Basel, Switzerland)|February 15, 2022
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) SignalsSakib Mahmud, Nabil Ibtehaz, Amith Khandakar, et al.
Neural Computing & Applications|June 26, 2023
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical dataTawsifur Rahman, Muhammad E H Chowdhury, Amith Khandakar, et al.
Sensors (Basel, Switzerland)|June 10, 2022
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram ImagesAmith Khandakar, Muhammad E H Chowdhury, Mamun Bin Ibne Reaz, et al.
Diagnostics (Basel, Switzerland)|September 28, 2021
Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning TechniqueTawsifur Rahman, Fajer A Al-Ishaq, Fatima S Al-Mohannadi, et al.
Sensors (Basel, Switzerland)|March 10, 2022
Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning TechniquesAmith Khandakar, Muhammad E H Chowdhury, Mamun Bin Ibne Reaz, et al.
Computers in Biology and Medicine|February 18, 2022
QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning modelTawsifur Rahman, Amith Khandakar, Farhan Fuad Abir, et al.
Diagnostics (Basel, Switzerland)|April 23, 2022
QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath SoundsTawsifur Rahman, Nabil Ibtehaz, Amith Khandakar, et al.
IEEE Access : Practical Innovations, Open Solutions|November 17, 2021
Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count ParametersTawsifur Rahman, Amith Khandakar, Md Enamul Hoque, et al.
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