JongChul Ye

JongChul Ye

Korea Advanced Institute of Science and Technology

Professor

Department of Bio and Brain Engineering

Research Area

  • #Computer science
  • #Artificial intelligence
  • #Algorithm
  • #Iterative reconstruction
  • #Deep learning
  • #Compressed sensing
  • #Pattern recognition
  • #Mathematics
  • #Artificial neural network
  • #Convolutional neural network

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Related papers to
‘ Computer science ‘ : 47

  • A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction.

    2017/10

    2.9 Impact Factor

    445 citations

    Eunhee Kang, Junhong Min, Jong Chul Ye

    DOI : 10.1002/MP.12344

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Nuclear medicine
    • #Wavelet
    • #Residual
    • #Data set
    • #Iterative reconstruction
    • #Convolutional neural network
    • #Deep learning
    • #Wavelet transform
    • #Ct reconstruction

All papers authored by
‘ JongChul Ye ’ : 71

  • A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction.

    2017/10
    MEDICAL PHYSICS

    2.9 Impact Factor

    445 citations

    Eunhee Kang, Junhong Min, Jong Chul Ye

    DOI : 10.1002/MP.12344

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Nuclear medicine
    • #Wavelet
    • #Residual
    • #Data set
    • #Iterative reconstruction
    • #Convolutional neural network
    • #Deep learning
    • #Wavelet transform
    • #Ct reconstruction

Related papers to
‘ Computer science ‘ : 47

  • A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction.

    2017/10
    MEDICAL PHYSICS

    2.9 Impact Factor

    445 citations

    Eunhee Kang, Junhong Min, Jong Chul Ye

    DOI : 10.1002/MP.12344

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Nuclear medicine
    • #Wavelet
    • #Residual
    • #Data set
    • #Iterative reconstruction
    • #Convolutional neural network
    • #Deep learning
    • #Wavelet transform
    • #Ct reconstruction
  • Statistical analysis of fNIRS data: a comprehensive review.

    2014/01
    NEUROIMAGE

    6.4 Impact Factor

    263 citations

    Sungho Tak, Jong Chul Ye

    DOI : 10.1016/J.NEUROIMAGE.2013.06.016

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Speech recognition
    • #Inference
    • #Principal component analysis
    • #Neuroimaging
    • #Independent component analysis
    • #Multiple comparisons problem
    • #Functional magnetic resonance imaging
    • #Restricted maximum likelihood
    • #Magnetoencephalography

Get access to
Contact information

Log in

All papers authored by
‘ JongChul Ye ’ : 71

  • A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction.

    2017/10
    MEDICAL PHYSICS

    2.9 Impact Factor

    445 citations

    Eunhee Kang, Junhong Min, Jong Chul Ye

    DOI : 10.1002/MP.12344

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Nuclear medicine
    • #Wavelet
    • #Residual
    • #Data set
    • #Iterative reconstruction
    • #Convolutional neural network
    • #Deep learning
    • #Wavelet transform
    • #Ct reconstruction
  • Statistical analysis of fNIRS data: a comprehensive review.

    2014/01
    NEUROIMAGE

    6.4 Impact Factor

    263 citations

    Sungho Tak, Jong Chul Ye

    DOI : 10.1016/J.NEUROIMAGE.2013.06.016

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Speech recognition
    • #Inference
    • #Principal component analysis
    • #Neuroimaging
    • #Independent component analysis
    • #Multiple comparisons problem
    • #Functional magnetic resonance imaging
    • #Restricted maximum likelihood
    • #Magnetoencephalography

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