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

• 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

• 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)

• 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)

• 1. 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,
• 2. Ki Hwan Kim, Seung Hong Choi, and Sung-Hong Park. Improving Arterial Spin Labeling by using Deep Learning, Radiology, 2018;287(2):658-666
• 3. 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.
• 4. 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
• 5. 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.