129 citations · 621 across the 18 of their papers we have counts for
3 papers · 1 filter
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…
Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography
Aysen Degerli, Fahad Sohrab, Serkan Kiranyaz +1
Myocardial infarction (MI) is the leading cause of mortality and morbidity in the world. Early therapeutics of MI can ensure the prevention of further myocardial necrosis. Echocard…
OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images
Aysen Degerli, Serkan Kiranyaz, Muhammad E. H. Chowdhury +1
Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep…