"Degerli, Aysen" - Selaus tekijän mukaan TUNICRIS-julkaisut

Viitteet 1-11 / 11

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

      Ahishali, Mete; Degerli, Aysen; Yamac, Mehmet; Kiranyaz, Serkan; Chowdhury, Muhammad E.H.; Hameed, Khalid; Hamid, Tahir; Mazhar, Rashid; Gabbouj, Moncef (2021)
      article
      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 system for the early diagnosis of COVID-19 ...

    • Convolutional Sparse Support Estimator-Based COVID-19 Recognition from X-Ray Images 

      Yamac, Mehmet; Ahishali, Mete; Degerli, Aysen; Kiranyaz, Serkan; Chowdhury, Muhammad E.H.; Gabbouj, Moncef (05 / 2021)
      article
      Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it came into sight. X-ray imaging is a common and easily accessible tool that has great potential for COVID-19 diagnosis and prognosis. ...

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

      Degerli, Aysen; Ahishali, Mete; Yamac, Mehmet; Kiranyaz, Serkan; Chowdhury, Muhammad E H; Hameed, Khalid; Hamid, Tahir; Mazhar, Rashid; Gabbouj, Moncef (01.04.2021)
      article
      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. Numerous studies have proposed to use Deep ...

    • Early Detection of Myocardial Infarction in Low-Quality Echocardiography 

      Degerli, Aysen; Zabihi, Morteza; Kiranyaz, Serkan; Hamid, Tahir; Mazhar, Rashid; Hamila, Ridha; Gabbouj, Moncef (16.02.2021)
      article
      <p>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 treatment of MI are crucial to ...

    • Early myocardial infarction detection over multi-view echocardiography 

      Degerli, Aysen; Kiranyaz, Serkan; Hamid, Tahir; Mazhar, Rashid; Gabbouj, Moncef (01 / 2023)
      article
      Myocardial infarction (MI) is the leading cause of mortality in the world. Its early diagnosis can mitigate the extent of myocardial damage by facilitating early therapeutic interventions. The regional wall motion abnormality ...

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

      Degerli, Aysen; Sohrab, Fahad; Kiranyaz, Serkan; Gabbouj, Moncef
      Computing in Cardiology (09 / 2022)
      conference
      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. Echocardiography is the fundamental imaging technique ...

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

      Kiranyaz, Serkan; Degerli, Aysen; Hamid, Tahir; Mazhar, Rashid; Ahmed, Rayyan El Fadil; Abouhasera, Rayaan; Zabihi, Morteza; Malik, Junaid; Hamila, Ridha; Gabbouj, Moncef (17.11.2020)
      article
      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 known as heart attack. This paper proposes a ...

    • R2C-GAN: Restore-to-Classify Generative Adversarial Networks for blind X-ray restoration and COVID-19 classification 

      Ahishali, Mete; Degerli, Aysen; Kiranyaz, Serkan; Hamid, Tahir; Mazhar, Rashid; Gabbouj, Moncef (12 / 2024)
      article
      Restoration of poor-quality medical images with a blended set of artifacts plays a vital role in a reliable diagnosis. As a pioneer study in blind X-ray restoration, we propose a joint model for generic image restoration ...

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

      Zahid, Muhammad Uzair; Degerli, Aysen; Sohrab, Fahad; Kiranyaz, Serkan; Hamid, Tahir; Mazhar, Rashid; Gabbouj, Moncef
      Proceedings : International Conference on Image Processing (2024)
      conference
      Early detection of myocardial infarction (MI), a critical condition arising from coronary artery disease (CAD), is vital to prevent further myocardial damage. This study introduces a novel method for early MI detection ...

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

      Degerli, Aysen; Ahishali, Mete; Kiranyaz, Serkan; Chowdhury, Muhammad E. H.; Gabbouj, Moncef
      Proceedings : International Conference on Image Processing (23.08.2021)
      conference
      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 algorithms for COVID-19 diagnosis over chest ...

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

      Adalioglu, Ilke; Ahishali, Mete; Degerli, Aysen; Kiranyaz, Serkan; Gabbouj, Moncef
      Computing in cardiology (2023)
      conference
      Myocardial infarction (MI) is a severe case of coronary artery disease (CAD) and ultimately, its detection is sub-stantial to prevent progressive damage to the myocardium. In this study, we propose a novel view-fusion model ...