Do Sik Hwang

Do Sik Hwang

Yonsei University

Associate Professor

School of Electrical and Electronic Engineering

Research Area

  • #Artificial intelligence
  • #Computer science
  • #Pattern recognition
  • #Deep learning
  • #Mathematics
  • #Nuclear magnetic resonance
  • #Computer vision
  • #Electronic engineering
  • #Computed tomography
  • #Magnetic resonance imaging

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Related papers to
‘ Artificial intelligence ‘ : 12

  • KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images

    2018/11

    3.9 Impact Factor

    139 citations

    Taejoon Eo, Yohan Jun, Taeseong Kim, Jinseong Jang, Ho Joon Lee, Dosik Hwang

    DOI : 10.1002/MRM.27201

    • #Chemistry
    • #Artificial intelligence
    • #Pattern recognition
    • #Nuclear magnetic resonance
    • #Magnetic resonance imaging
    • #Iterative reconstruction
    • #Convolutional neural network

All papers authored by
‘ Do Sik Hwang ’ : 29

  • KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images

    2018/11
    MAGNETIC RESONANCE IN MEDICINE

    3.9 Impact Factor

    139 citations

    Taejoon Eo, Yohan Jun, Taeseong Kim, Jinseong Jang, Ho Joon Lee, Dosik Hwang

    DOI : 10.1002/MRM.27201

    • #Chemistry
    • #Artificial intelligence
    • #Pattern recognition
    • #Nuclear magnetic resonance
    • #Magnetic resonance imaging
    • #Iterative reconstruction
    • #Convolutional neural network

Related papers to
‘ Artificial intelligence ‘ : 12

  • KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images

    2018/11
    MAGNETIC RESONANCE IN MEDICINE

    3.9 Impact Factor

    139 citations

    Taejoon Eo, Yohan Jun, Taeseong Kim, Jinseong Jang, Ho Joon Lee, Dosik Hwang

    DOI : 10.1002/MRM.27201

    • #Chemistry
    • #Artificial intelligence
    • #Pattern recognition
    • #Nuclear magnetic resonance
    • #Magnetic resonance imaging
    • #Iterative reconstruction
    • #Convolutional neural network
  • Metal Artifact Reduction for Polychromatic X-ray CT Based on a Beam-Hardening Corrector

    2016/02
    IEEE TRANSACTIONS ON MEDICAL IMAGING

    3.9 Impact Factor

    64 citations

    Hyoung Suk Park, Dosik Hwang, Jin Keun Seo

    DOI : 10.1109/TMI.2015.2478905

    • #Mathematics
    • #Artificial intelligence
    • #Computer vision
    • #Beam (structure)
    • #Attenuation
    • #Computed tomography
    • #X-ray
    • #Imaging phantom
    • #Metal Artifact
    • #Beam hardening

Get access to
Contact information

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All papers authored by
‘ Do Sik Hwang ’ : 29

  • KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images

    2018/11
    MAGNETIC RESONANCE IN MEDICINE

    3.9 Impact Factor

    139 citations

    Taejoon Eo, Yohan Jun, Taeseong Kim, Jinseong Jang, Ho Joon Lee, Dosik Hwang

    DOI : 10.1002/MRM.27201

    • #Chemistry
    • #Artificial intelligence
    • #Pattern recognition
    • #Nuclear magnetic resonance
    • #Magnetic resonance imaging
    • #Iterative reconstruction
    • #Convolutional neural network
  • Improved estimation of myelin water fraction using complex model fitting.

    2015/08
    NEUROIMAGE

    5.5 Impact Factor

    86 citations

    Yoonho Nam, Jongho Lee, Dosik Hwang, Dong Hyun Kim

    DOI : 10.1016/J.NEUROIMAGE.2015.03.081

    • #Materials science
    • #Statistics
    • #Biological system
    • #Estimation theory
    • #Magnitude (mathematics)
    • #Complex data type
    • #Model fitting
    • #White matter
    • #Frequency offset
    • #Myelin water fraction
    • #Myelin water

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