102 citations · 111 across the 4 of their papers we have counts for
6 papers
Deep Learning in Automated Power Line Inspection: A Review
Md. Ahasan Atick Faisal, Imene Mecheter, Yazan Qiblawey +3
In recent years, power line maintenance has seen a paradigm shift by moving towards computer vision-powered automated inspection. The utilization of an extensive collection of vide…
COVID-19 Infection Localization and Severity Grading from Chest X-ray Images
Anas M. Tahir, Muhammad E. H. Chowdhury, Amith Khandakar +11
Coronavirus disease 2019 (COVID-19) has been the main agenda of the whole world, since it came into sight in December 2019 as it has significantly affected the world economy and he…
Detection and severity classification of COVID-19 in CT images using deep learning
Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury +7
Since the breakout of coronavirus disease (COVID-19), the computer-aided diagnosis has become a necessity to prevent the spread of the virus. Detecting COVID-19 at an early stage i…
EDITH :ECG biometrics aided by Deep learning for reliable Individual auTHentication
Nabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Khandakar +5
In recent years, physiological signal based authentication has shown great promises,for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most wide…
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…
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…