Browsing by Author "Yamac, Mehmet"

Now showing items 1-4 of 4

    • BM3D VS 2-LAYER ONN 

      Malik, Junaid; Kiranyaz, Serkan; Yamac, Mehmet; Gabbouj, Moncef ( IEEE Computer Society , 2021 , Conference Paper)
      Despite their recent success on image denoising, the need for deep and complex architectures still hinders the practical usage of CNNs. Older but computationally more efficient methods such as BM3D remain a popular choice, ...

    • 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 ...

    • 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 ...

    • Representation based regression for object distance estimation 

      Ahishali, Mete; Yamac, Mehmet; Kiranyaz, Serkan; Gabbouj, Moncef ( Elsevier , 2023 , Article)
      In this study, we propose a novel approach to predict the distances of the detected objects in an observed scene. The proposed approach modifies the recently proposed Convolutional Support Estimator Networks (CSENs). CSENs ...