Creating innovative bio-convergent technologies for better human life

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박 성홍
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  • 부교수
  • 연구실: 1002호, E16
  • 연구실명 : 자기공명영상연구실(Magnetic Resonance Imaging Laboratory)
  • +82-42-350-4312
  • sunghongpark@kaist.ac.kr
최종학위
  • 2009 University of Pittsburgh 생명공학 박사
연구분야

구조/생체/기능 자기공명영상, 머신러닝을 이용한 의료영상, 수술중 자기공명영상, 뉴런전류 자기공명영상

경력
  • 2016.09~현재

    한국과학기술원(KAIST) 바이오및뇌공학과 부교수

  • 2012.02~2016.08

    한국과학기술원(KAIST) 바이오및뇌공학과 조교수

  • 2010.09~2012.01

    University of Pittsburgh, Department of Radiology 조교수

  • 2009.07~2010.08

    Research Imaging Institute, University of Texas Health Science Center at San Antonio, USA, Research Assistant Professor

  • 2005.01~2009.04

    University of Pittsburgh, Graduate Student Researcher

  • 2003.06~2004.12

    University of Pittsburgh, Research Fellow

  • 2000.05~2003.05

    ISOL Technology Inc., Republic of Korea, Research Associate

  • 1998.03~2000.04

    Medison Co. Ltd., Republic of Korea, Research Associate

  • 1996.03~1998.02

    Graduate Student Researcher, Department of Electrical Engineering, KAIST, Republic of Korea

대외활동 주요 학회 활동
  • 대한자기공명의과학회 학술이사(2018.04-현재), 정보이사(2016.04-2018.03)
  • 대한자기공명의과학회 학술위원(2013.08-2016.08), 교육위원(2012.08-2016.08)
  • 한국자기공명학회 학술이사(2014.08~2015.04)

수상경력
  • BRIC 생물학연구정보센터 선정 2019년 국내 바이오분야 의과학부문 Top5 연구성과 선정
  • KAIST 이수영교수학습혁신상 2019년5월
  • Bracco Young Investigator Award, Korean Society for Magnetic Resonance in Medicine 13th Scientific Meeting (2008)
대표 연구실적
  • 1. Jun-Hee Kim#, Jae-Geun Im#, and Sung-Hong ParkMeasurement of CSF Pulsation from EPI-based Human fMRI, NeuroImage, 2022;257:119293

  • 2. Ji Hoon Ahn#, Hyunsoo Cho#, Jun-Hee Kim#, Shin Heun Kim, Je-Seok Ham, Sang Heon Suh, Seon Pyo Hong, Joo-Hye Song, Young-Kwon Hong, Yong Jeong, Sung-Hong Park, and Gou Young KohMeningeal lymphatic vessels at the skull base drain cerebrospinal fluid, Nature, 2019, 572(7767):62-66 

  • 3. Won-Joon Do, Seung-Hong Choi, and Sung-Hong ParkSimultaneous Variable-slab Dual-echo TOF MR Angiography and Susceptibility-Weighted Imaging, IEEE Transactions on Medical Imaging, 2018;37(7):1632-1640

  • 4. Ki Hwan Kim, Seung Hong Choi, and Sung-Hong ParkImproving Arterial Spin Labeling by using Deep Learning, Radiology, 2018;287(2):658-666 

  • 5. Ki Hwan Kim, Won-Joon Do, and Sung-Hong ParkImproving Resolution of MR Images with an Adversarial Network Incorporating Images with Different ContrastMedical Physics, 2018;45(7):3120-3131

  • 6. Ji Hoon Ahn#, Hyunsoo Cho#, Jun-Hee Kim#, Shin Heun Kim, Je-Seok Ham, Sang Heon Suh, Seon Pyo Hong, Joo-Hye Song, Young-Kwon Hong, Yong Jeong, Sung-Hong Park*, and Gou Young Koh*, Meningeal lymphatic vessels at the skull base drain cerebrospinal fluid, Nature, 2019, 572(7767):62-66,
  • 7. Ki Hwan Kim, Seung Hong Choi, and Sung-Hong Park. Improving Arterial Spin Labeling by using Deep Learning, Radiology, 2018;287(2):658-666
  • 8. Won-Joon Do, Seung Hong Choi, and Sung-Hong Park. Simultaneous variable-slab dual-echo TOF MR angiography and susceptibility-weighted imaging, IEEE Transactions on medical imaging, 2018;37(7):1632-1640.
  • 9. Paul Kyu Han, Seung Hong Choi, and Sung-Hong Park. Investigation of Control Scans in Pseudo-Continuous Arterial Spin Labeling (pCASL): Strategies for Improving Sensitivity and Reliability of pCASL, Magnetic Resonance in Medicine, 2017;78(3):917-929
  • 10. Sung-Hong Park, Tae Kim, Ping Wang, and Seong-Gi Kim. Sensitivity and specificity of high-resolution balanced steady state free precession fMRI at high field of 9.4T. NeuroImage 2011, Sep;58(1):168-176.