activity
20202026
most citedCan AI help in screening Viral and COVID-19 pneumonia?

2k citations · 2.9k across the 13 of their papers we have counts for

collaborators

13 papers

cs.LG2026

Multi-Pass, Multi-View Blended Learning for High-Fidelity Volumetric CT Synthesis from Chest X-Rays

Ozer Can Devecioglu, Serkan Kiranyaz, Rashid Mazhar +3

Reconstructing volumetric Computed Tomography (CT) from a single 2D chest radiograph (CXR) is an ill-posed inverse problem, further complicated by the scarcity of paired CXR-CT tra…

cs.LG2024

Refining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification

Muhammad Uzair Zahid, Aysen Degerli, Fahad Sohrab +4

Early detection of myocardial infarction (MI), a critical condition arising from coronary artery disease (CAD), is vital to prevent further myocardial damage. This study introduces…

eess.IV2022★ 7 cited

R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 Classification

Mete Ahishali, Aysen Degerli, Serkan Kiranyaz +3

Restoration of poor quality images with a blended set of artifacts plays a vital role for a reliable diagnosis. Existing studies have focused on specific restoration problems such…

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★ 51 cited

Early Myocardial Infarction Detection over Multi-view Echocardiography

Aysen Degerli, Serkan Kiranyaz, Tahir Hamid +2

Myocardial infarction (MI) is the leading cause of mortality in the world that occurs due to a blockage of the coronary arteries feeding the myocardium. An early diagnosis of MI an…

eess.IV2021★ 21 cited

Fully Automated 2D and 3D Convolutional Neural Networks Pipeline for Video Segmentation and Myocardial Infarction Detection in Echocardiography

Oumaima Hamila, Sheela Ramanna, Christopher J. Henry +4

Cardiac imaging known as echocardiography is a non-invasive tool utilized to produce data including images and videos, which cardiologists use to diagnose cardiac abnormalities in…

eess.IV2020★ 86 cited

Early Detection of Myocardial Infarction in Low-Quality Echocardiography

Aysen Degerli, Morteza Zabihi, Serkan Kiranyaz +4

Myocardial infarction (MI), or commonly known as heart attack, is a life-threatening health problem worldwide from which 32.4 million people suffer each year. Early diagnosis and t…

eess.IV2020★ 116 cited

COVID-19 Infection Map Generation and Detection from Chest X-Ray Images

Aysen Degerli, Mete Ahishali, Mehmet Yamac +6

Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numer…

eess.IV2020★ 4 cited

Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection

Serkan Kiranyaz, Aysen Degerli, Tahir Hamid +7

Echocardiogram (echo) is the earliest and the primary tool for identifying regional wall motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly kno…

eess.IV2020★ 653 cited

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…

eess.IV2020★ 55 cited

Advance Warning Methodologies for COVID-19 using Chest X-Ray Images

Mete Ahishali, Aysen Degerli, Mehmet Yamac +6

Coronavirus disease 2019 (COVID-19) has rapidly become a global health concern after its first known detection in December 2019. As a result, accurate and reliable advance warning…

physics.med-ph2020

Dynamic Ventilatory circuit divider: Safer way to multiply the number of available ventilators

Rashid Mazhar, Muhammad E. H. Chowdhury, Ahmed Faidh Ramzee +2

Background: Recent pandemic has brought a sudden surge in the requirement of mechanical ventilators all over the world. In this backdrop, there is wide interest in looking for ways…

cs.LG2020★ 2k cited

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…