Browsing by Author "Degerli, Aysen"

Now showing items 1-6 of 6

    • Biosignal time-series analysis 

      Kiranyaz, Serkan; Ince, Turker; Chowdhury, Muhammad E.H.; Degerli, Aysen; Gabbouj, Moncef ( Elsevier , 2022 , Book chapter)
      In this chapter, recent state-of-the-art techniques in biosignal time-series analysis will be presented. We shall start with the problem of patient-specific ECG beat classification where the objective is to discriminate ...

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

      Degerli, Aysen; Ahishali, Mete; Yamac, Mehmet; Kiranyaz, Serkan; Chowdhury, Muhammad E. H.; ... more authors ( Springer Science and Business Media Deutschland GmbH , 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 Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography 

      Degerli, Aysen; Sohrab, Fahad; Kiranyaz, Serkan; Gabbouj, Moncef ( IEEE Computer Society , 2022 , Conference Paper)
      Myocardial infarction (MI) is the leading cause of mortaZity and morbidity in the world. Early therapeutics of MI can ensure the prevention of further myocardial necrosis. Echocardiography is the fundamental imaging technique ...

    • Medical image analysis 

      Degerli, Aysen; Yamac, Mehmet; Ahishali, Mete; Kiranyaz, Serkan; Gabbouj, Moncef ( Elsevier , 2022 , Book chapter)
      This chapter presents deep learning methodologies for medical imaging tasks. The chapter starts with echocardiography for early detection of myocardial infarction (MI) or commonly known as heart attack. Early and fundamental ...

    • OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES 

      Degerli, Aysen; Kiranyaz, Serkan; Chowdhury, Muhammad E. H.; Gabbouj, Moncef ( IEEE , 2022 , Conference Paper)
      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 Learning models over scarce datasets ...

    • RELIABLE COVID-19 DETECTION USING CHEST X-RAY IMAGES 

      Degerli, Aysen; Ahishali, Mete; Kiranyaz, Serkan; Chowdhury, Muhammad E. H.; Gabbouj, Moncef ( IEEE Computer Society , 2021 , Conference Paper)
      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 ...