129 citations · 420 across the 22 of their papers we have counts for
6 papers · 1 filter
Echocardiography to Cardiac MRI View Transformation for Real-Time Blind Restoration
Ilke Adalioglu, Serkan Kiranyaz, Mete Ahishali +5
Echocardiography is the most widely used imaging to monitor cardiac functions, serving as the first line in early detection of myocardial ischemia and infarction. However, echocard…
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…
Reliable COVID-19 Detection Using Chest X-ray Images
Aysen Degerli, Mete Ahishali, Serkan Kiranyaz +2
Coronavirus disease 2019 (COVID-19) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning al…
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…
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…
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…