ㆍ Professor, School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea (2016. 09 ~ Present)
연세대학교 공과대학 전기전자공학부 정교수
ㆍ Associate Professor, School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea (2011. 03 ~ 2016.08)
연세대학교 공과대학 전기전자공학부 부교수
ㆍ Assistant Professor, School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea (2006. 09 ~ 2011.02)
연세대학교 공과대학 전기전자공학부 조교수
ㆍ Assistant Professor, Department of Radiology, UC San Francisco, USA (2005. 01 ~ 2006.07)
UCSF 방사선과 조교수

ㆍ 1991 - 1997 : 연세대학교 학사
ㆍ 1997 - 1999 : 스탠포드 대학교 석사
ㆍ 1999 - 2003 : 스탠포드 대학교 박사

ㆍ Ph. D., Electrical Engineering, Stanford University, Stanford, CA, USA (2003. 09)
ㆍ M. S., Electrical Engineering, Stanford University, Stanford, CA, USA (1999. 04)
ㆍ B. S., Electrical Engineering, Yonsei University, Seoul, Korea (1997.02) "

[연구주제]
ㆍ Magnetic Resonance Imaging (자기공명영상장치 :MRI)
ㆍ Biomedical Image reconstruction and processing (Deep Learning, Pulse Sequences) (의료 영상 재구성 및 처리 기술 개발, 딥러닝, 펄스열)
ㆍ Clinical applicable techniques for MRI (자기공명영상 장치의 임상활용 기술 개발)
ㆍ Electric properties based MRI image acquisition (조직의 전자기적 성질 기반의 영상 획득)
ㆍ Hyperpolarized 13 - Carbon MRI imaging (초분극화된 13-탄소를 이용한 영상 획득)

[논문]
2021-10 Improving phase-based conductivity reconstruction by means of deep learning-based denoising of B1+ phase data for 3T MRI MAGNETIC RESONANCE IN MEDICINE
2021-01 Artificial neural network for multi-echo gradient echo-based myelin water fraction estimation MAGNETIC RESONANCE IN MEDICINE
2021-01 3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification from MR Images with Minimal User Intervention IEEE Access
2020-12 Deep Learning in MR Motion Correction: a Brief Review and a New Motion Simulation Tool (view2Dmotion) Investigative Magnetic Resonance Imaging
2020-10 Automated detection of cerebral microbleeds in MR images: A two-stage deep learning approach NeuroImage: Clinical
2020-10 L-glutamine as a T2 exchange contrast agent MAGNETIC RESONANCE IN MEDICINE
2020-07 Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
2020-07 A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
2020-06 Blind Source Separation for Myelin Water Fraction Mapping using Multi-echo Gradient Echo Imaging IEEE TRANSACTIONS ON MEDICAL IMAGING
2020-03 Dynamic hyperpolarized C-13 MR spectroscopic imaging using SPICE in mouse kidney at 9.4 T NMR IN BIOMEDICINE
2020-03 Estimating age-related changes in in vivo cerebral amgnetic resonance angiography using convolutional neural network NEUROBIOLOGY OF AGING
2020-03 Stenosis Detection from Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks IEEE Access
2020-02 Validation of Deep Learning-Based Artifact Correction on Synthetic FLAIR Images in a Different Scanning Environment Journal of Clinical Medicine
2019-12 Synthesizing T1 weighted MPRAGE image from multi echo GRE images via deep neural network MAGNETIC RESONANCE IMAGING
2019-11 Hyperpolarized [1-13C]lactate flux increased in the hippocampal region in diabetic mice MOLECULAR BRAIN
2019-11 Data-driven synthetic MRI FLAIR artifact correction via deep neural network JOURNAL OF MAGNETIC RESONANCE IMAGING