activity
20192022
most citedReal-time PCG Anomaly Detection by Adaptive 1D Convolutional Neural Networks

10 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2022

Blind ECG Restoration by Operational Cycle-GANs

Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince +8

Continuous long-term monitoring of electrocardiography (ECG) signals is crucial for the early detection of cardiac abnormalities such as arrhythmia. Non-clinical ECG recordings acq…

eess.IV2021

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…

eess.IV2021

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…

eess.IV20209 cited

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…

eess.SP201910 cited

Real-time PCG Anomaly Detection by Adaptive 1D Convolutional Neural Networks

Serkan Kiranyaz, Morteza Zabihi, Ali Bahrami Rad +4

The heart sound signals (Phonocardiogram - PCG) enable the earliest monitoring to detect a potential cardiovascular pathology and have recently become a crucial tool as a diagnosti…