Aysen Degerli

According to our database, Aysen Degerli authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Early myocardial infarction detection over multi-view echocardiography.

Aysen Degerli, Serkan Kiranyaz, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj

Biomed. Signal Process. Control., January, 2024

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

Muhammad Uzair Zahid, Aysen Degerli, Fahad Sohrab, Serkan Kiranyaz, Moncef Gabbouj

CoRR, 2024

2023

MAMAF-Net: Motion-Aware and Multi-Attention Fusion Network for Stroke Diagnosis.

Aysen Degerli, Pekka Jakala, Juha Pajula, Miguel Bordallo López

CoRR, 2023

SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection Using Multi-View Echocardiography.

Ilke Adalioglu, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Moncef Gabbouj

Proceedings of the Computing in Cardiology, 2023

2022

R2C-GAN: Restore-to-Classify GANs for Blind X-Ray Restoration and COVID-19 Classification.

Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj

CoRR, 2022

Osegnet: Operational Segmentation Network for Covid-19 Detection Using Chest X-Ray Images.

Aysen Degerli, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography.

Aysen Degerli, Fahad Sohrab, Serkan Kiranyaz, Moncef Gabbouj

Proceedings of the Computing in Cardiology, 2022

2021

Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images.

Mehmet Yamaç, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj

IEEE Trans. Neural Networks Learn. Syst., 2021

Multilinear Compressive Learning.

Dat Thanh Tran, Mehmet Yamaç, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis

IEEE Trans. Neural Networks Learn. Syst., 2021

COVID-19 infection map generation and detection from chest X-ray images.

Aysen Degerli, Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj

Health Inf. Sci. Syst., 2021

Early Detection of Myocardial Infarction in Low-Quality Echocardiography.

Aysen Degerli, Morteza Zabihi, Serkan Kiranyaz, Tahir Hamid, Rashid Mazhar, Ridha Hamila, Moncef Gabbouj

IEEE Access, 2021

Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images.

Mete Ahishali, Aysen Degerli, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj

IEEE Access, 2021

Reliable Covid-19 Detection using Chest X-Ray Images.

Aysen Degerli, Mete Ahishali, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

A Comparative Study on Early Detection of COVID-19 from Chest X-Ray Images.

Mete Ahishali, Aysen Degerli, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj

CoRR, 2020

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

Serkan Kiranyaz, Aysen Degerli, Tahir Hamid, Rashid Mazhar, Rayyan Ahmed, Rayaan Abouhasera, Morteza Zabihi, Junaid Malik, Ridha Hamila, Moncef Gabbouj

IEEE Access, 2020

2018

Compressively Sensed Image Recognition.

Aysen Degerli, Sinem Aslan, Mehmet Yamac, Bülent Sankur, Moncef Gabbouj

Proceedings of the 7th European Workshop on Visual Information Processing, 2018