JongHyo Kim

JongHyo Kim

Seoul National University

Professor

Graduate School of Convergence Science and Technology

Research Area

  • #Medicine
  • #Artificial intelligence
  • #Nuclear medicine
  • #Pattern recognition
  • #Image quality
  • #Radiology
  • #Image noise
  • #Imaging phantom
  • #Deep learning
  • #Data mining

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Related papers to
‘ Medicine ‘ : 13

  • Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software.

    2017/06

    3.1 Impact Factor

    17 citations

    Myungeun Lee, Boyeong Woo, Michael D. Kuo, Neema Jamshidi, Jong Hyo Kim

    DOI : 10.3348/KJR.2017.18.3.498

    • #Medicine
    • #Artificial intelligence
    • #Pattern recognition
    • #Medical physics
    • #Software
    • #Segmentation
    • #Correlation
    • #Redundancy (engineering)
    • #Normalization (statistics)
    • #Correlation coefficient
    • #Glioblastoma
    • #Tumor segmentation

All papers authored by
‘ JongHyo Kim ’ : 18

  • Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software.

    2017/06
    KOREAN JOURNAL OF RADIOLOGY

    3.1 Impact Factor

    17 citations

    Myungeun Lee, Boyeong Woo, Michael D. Kuo, Neema Jamshidi, Jong Hyo Kim

    DOI : 10.3348/KJR.2017.18.3.498

    • #Medicine
    • #Artificial intelligence
    • #Pattern recognition
    • #Medical physics
    • #Software
    • #Segmentation
    • #Correlation
    • #Redundancy (engineering)
    • #Normalization (statistics)
    • #Correlation coefficient
    • #Glioblastoma
    • #Tumor segmentation

Related papers to
‘ Medicine ‘ : 13

  • Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software.

    2017/06
    KOREAN JOURNAL OF RADIOLOGY

    3.1 Impact Factor

    17 citations

    Myungeun Lee, Boyeong Woo, Michael D. Kuo, Neema Jamshidi, Jong Hyo Kim

    DOI : 10.3348/KJR.2017.18.3.498

    • #Medicine
    • #Artificial intelligence
    • #Pattern recognition
    • #Medical physics
    • #Software
    • #Segmentation
    • #Correlation
    • #Redundancy (engineering)
    • #Normalization (statistics)
    • #Correlation coefficient
    • #Glioblastoma
    • #Tumor segmentation
  • Impact of image denoising on image quality, quantitative parameters and sensitivity of ultra-low-dose volume perfusion CT imaging

    2016/01
    EUROPEAN RADIOLOGY

    4.0 Impact Factor

    13 citations

    Ahmed E. Othman, Carolin Brockmann, Zepa Yang, Changwon Kim, Saif Afat, Rastislav Pjontek, Omid Nikoubashman, Marc A. Brockmann, Konstantin Nikolaou, Martin Wiesmann, Jong Hyo Kim

    DOI : 10.1007/S00330-015-3853-6

    • #Medicine
    • #Radiology
    • #Nuclear medicine
    • #Stroke
    • #Ultrasound
    • #Data set
    • #Image quality
    • #Perfusion
    • #Image noise
    • #Neuroradiology
    • #Perfusion scanning

Get access to
Contact information

Log in

All papers authored by
‘ JongHyo Kim ’ : 18

  • Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software.

    2017/06
    KOREAN JOURNAL OF RADIOLOGY

    3.1 Impact Factor

    17 citations

    Myungeun Lee, Boyeong Woo, Michael D. Kuo, Neema Jamshidi, Jong Hyo Kim

    DOI : 10.3348/KJR.2017.18.3.498

    • #Medicine
    • #Artificial intelligence
    • #Pattern recognition
    • #Medical physics
    • #Software
    • #Segmentation
    • #Correlation
    • #Redundancy (engineering)
    • #Normalization (statistics)
    • #Correlation coefficient
    • #Glioblastoma
    • #Tumor segmentation
  • Impact of image denoising on image quality, quantitative parameters and sensitivity of ultra-low-dose volume perfusion CT imaging

    2016/01
    EUROPEAN RADIOLOGY

    4.0 Impact Factor

    13 citations

    Ahmed E. Othman, Carolin Brockmann, Zepa Yang, Changwon Kim, Saif Afat, Rastislav Pjontek, Omid Nikoubashman, Marc A. Brockmann, Konstantin Nikolaou, Martin Wiesmann, Jong Hyo Kim

    DOI : 10.1007/S00330-015-3853-6

    • #Medicine
    • #Radiology
    • #Nuclear medicine
    • #Stroke
    • #Ultrasound
    • #Data set
    • #Image quality
    • #Perfusion
    • #Image noise
    • #Neuroradiology
    • #Perfusion scanning

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