641 citations · 722 across the 10 of their papers we have counts for
9 papers · 1 filter
BIO-CXRNET: A Robust Multimodal Stacking Machine Learning Technique for Mortality Risk Prediction of COVID-19 Patients using Chest X-Ray Images and Clinical Data
Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar +10
Fast and accurate detection of the disease can significantly help in reducing the strain on the healthcare facility of any country to reduce the mortality during any pandemic. The…
A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images
Amith Khandakar, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz +7
Diabetes foot ulceration (DFU) and amputation are a cause of significant morbidity. The prevention of DFU may be achieved by the identification of patients at risk of DFU and the i…
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
Tawsifur Rahman, Alex Akinbi, Muhammad E. H. Chowdhury +5
The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health…
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…
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…