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Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning
Kaleem Nawaz Khan, Faiq Ahmad Khan, Anam Abid +5
Cardiovascular diseases (CVDs) are the main cause of deaths all over the world. Heart murmurs are the most common abnormalities detected during the auscultation process. The two wi…
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images
Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey +8
The use of computer-aided diagnosis in the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandem…
An early warning tool for predicting mortality risk of COVID-19 patients using machine learning
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar +5
COVID-19 pandemic has created an extreme pressure on the global healthcare services. Fast, reliable and early clinical assessment of the severity of the disease can help in allocat…
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization
Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir +8
Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early detection of TB is very impo…
A Case Study to Identify the Hindrances to Widespread Adoption of Electric Vehicles in Qatar
Amith Khandakar, Annaufal Rizqullah, Anas Ashraf Abdou Berbar +4
The adoption of electric vehicles (EVs) have proven to be a crucial factor to decreasing the emission of greenhouse gases (GHG) into the atmosphere. However, there are various hurd…
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques
Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E. H. Chowdhury +4
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the Blood pressure (BP). Hypertension always leads to other health complications. Continuo…
An Intelligent and Low-cost Eye-tracking System for Motorized Wheelchair Control
Mahmoud Dahmani, Muhammad E. H. Chowdhury, Amith Khandakar +4
In the 34 developed and 156 developing countries, there are about 132 million disabled people who need a wheelchair constituting 1.86% of the world population. Moreover, there are…
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-Ray Images
Anas Tahir, Yazan Qiblawey, Amith Khandakar +6
Novel Coronavirus disease (COVID-19) is an extremely contagious and quickly spreading Coronavirus infestation. Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory…
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray
Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar +5
Pneumonia is a life-threatening disease, which occurs in the lungs caused by either bacterial or viral infection. It can be life-endangering if not acted upon in the right time and…
Can AI help in screening Viral and COVID-19 pneumonia?
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar +9
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool en…