activity
20202022
most citedReliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization

653 citations · 993 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

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…