Browsing by Author "Ahishali, Mete"

Now showing items 1-8 of 8

    • Classification of SAR Images Using Compact Convolutional Neural Networks 

      Ahishali, Mete; Kiranyaz, Serkan; Gabbouj, Moncef ( Springer , 2022 , Book chapter)
      Classification of SAR images has been an interesting task considering its major role in environmental and natural research areas. Existing studies proposed for Land use/land cover (LU/LC) classification using SAR data can ...

    • Comparison of polarimetric SAR features for terrain classification using incremental training 

      Ince, Turker; Ahishali, Mete; Kiranyaz, Serkan ( Electromagnetics Academy , 2017 , Conference Paper)
      In this study, the most commonly used polarimetric SAR features including the complete coherency (or covariance) matrix information, features obtained from several coherent and incoherent target decompositions, the ...

    • 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 ...

    • Dual and single polarized sar image classification using compact convolutional neural networks 

      Ahishali, Mete; Kiranyaz, Serkan; Ince, Turker; Gabbouj, Moncef ( MDPI AG , 2019 , Article)
      Accurate land use/land cover classification of synthetic aperture radar (SAR) images plays an important role in environmental, economic, and nature related research areas and applications. When fully polarimetric SAR data ...

    • 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 ...

    • 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 ...

    • 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 ...

    • SRL-SOA: SELF-REPRESENTATION LEARNING WITH SPARSE 1D-OPERATIONAL AUTOENCODER FOR HYPERSPECTRAL IMAGE BAND SELECTION 

      Ahishali, Mete; Kiranyaz, Serkan; Ahmad, Iftikhar; Gabbouj, Moncef ( IEEE Computer Society , 2022 , Conference Paper)
      The band selection in the hyperspectral image (HSI) data processing is an important task considering its effect on the computational complexity and accuracy. In this work, we propose a novel framework for the band selection ...