37 citations · 51 across the 6 of their papers we have counts for
6 papers
CASR-Net: An Image Processing-focused Deep Learning-based Coronary Artery Segmentation and Refinement Network for X-ray Coronary Angiogram
Alvee Hassan, Rusab Sarmun, Muhammad E. H. Chowdhury +4
Early detection of coronary artery disease (CAD) is critical for reducing mortality and improving patient treatment planning. While angiographic image analysis from X-rays is a com…
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…
RamanNet: A generalized neural network architecture for Raman Spectrum Analysis
Nabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Khandakar +3
Raman spectroscopy provides a vibrational profile of the molecules and thus can be used to uniquely identify different kind of materials. This sort of fingerprinting molecules has…
QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds
Muhammad E. H. Chowdhury, Nabil Ibtehaz, Tawsifur Rahman +6
In the break of COVID-19 pandemic, mass testing has become essential to reduce the spread of the virus. Several recent studies suggest that a significant number of COVID-19 patient…
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…