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20182026
most citedOSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images

96 citations · 178 across the 11 of their papers we have counts for

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Showing 2020 · eess.IVShow all

5 papers · 2 filters

eess.IV2020

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

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

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

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…

eess.IV2020

Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images

Mehmet Yamac, Mete Ahishali, Aysen Degerli +3

Coronavirus disease (Covid-19) has been the main agenda of the whole world since it came in sight in December 2019. It has already caused thousands of causalities and infected seve…