Scholar
Hyunjin Park
Google Scholar ID: Pt2N0C8AAAAJ
Professor of Electrical-Computer Engineering and Artificial Intelligence, Sungkyunkwan University
Citations & Impact
Citations
5,216
H-index
38
i10-index
116
Publications
20
Co-authors
134
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Editorial board member: Biomedical Engineering Letters (2013-Current), Medicine (2018-Current), Scientific Reports (2019-Current), Frontiers in Neuroscience (2020-Current), Electronics (2020-Current), Life (2021-Current)
- - Reviewer: IEEE Transactions on Medical Imaging (2002-Current), Medical Image Computing and Computer Aided Intervention (MICCAI) (2006-Current), IEEE Transactions on Image Processing (2006-Current), Medical Physics (2009-Current)
- - Journal Papers: 199, JCR indexed (n = 168), main author papers in JCR (n = 124), LNCS (n = 18), scopus (n = 3)
Research Experience
- - Postdoc, Department of Radiology, University of Michigan, Ann Arbor, MI, 2003-2004
- - Research Investigator: Department of Radiology, University of Michigan, Ann Arbor, MI, 2004-2007
- - Assistant Prof (Research): Department of Radiology, University of Michigan, Ann Arbor, MI, 2007-2009
- - Assistant Prof: Dept of Biomedical Engineering, Gachon University, Korea, 2009 - 2012
- - Assistant Prof: School of Electronic and Electrical Engineering, Sungkyunkwan University, 2012 - 2013
- - Associate Prof: School of Electronic and Electrical Engineering, Sungkyunkwan University, 2013 - 2019
- - Professor: School of Electronic and Electrical Engineering, Sungkyunkwan University, 2019 - current
Education
- - B.S. in Electrical Engineering, Seoul National University, Seoul, South Korea, 1997
- - Military Service, Kwangju, South Korea, 1997-1998
- - M.S. in Biomedical Engineering, University of Michigan, Ann Arbor, MI, 2000
- - M.S. in Electrical Engineering, University of Michigan, Ann Arbor, MI, 2000
- - Ph.D. in Biomedical Engineering, University of Michigan, Ann Arbor, MI, 2003
Background
- Research Interests: Image processing for medical imagery including image registration and segmentation, computer vision for medical imagery, medical image analysis for cancer management, neuroimaging analysis, radiomics, and imaging genetics.
