Profile
Young-Gon Kim, Ph.D.
Assistant Professor
Department of Transdisciplinary Medicine
Seoul National University Hospital
Seoul, South Korea
T : +82-2072-4487
Experience
Seoul National University Hospital
(SNUH)
Assistant Professor (Sep. 2021 – PRESENT)
Convergence research for pathology & radiology using deep learning
- Deep learning research for medical imaging
- Education for clinicians (Compuver vision & deep learning)
Research Professor (Oct. 2020 – Aug. 2021)
Convergence research for pathology & radiology using deep learning
- Deep learning research for medical imaging
- Education for clinicians (Compuver vision & deep learning)
Post. doc. (May. 2020 – Sep. 2020)
Convergence research for pathology & radiology using deep learning
- Deep learning research for digital pathology
- Deep learning research for radiology
NVIDIA Ambassador
DLI (Deep Learning Institute) Instructor (Nov. 2017 – PRESENT)
Teaching deep learning institute courses & contribute as the brand ambassador
- Courses: Computer vision, medical image analysis, multiple data types
Asan Medical Center
(AMC)
Senior researcher (Sep. 2016 – Feb. 2020)
Convergence research for pathology & radiology using deep learning
- Deep learning research for digital pathology
- Deep learning research for radiology
LG Electronics
Senior Researcher (Sep. 2012 – Sep. 2016)
Framework development of android OS
- Optimization of android multimedia framework (C, C++, Java)
- Performance enhancement of image codecs
Education
Ph.D.
Biomedical Engineering (Mar. 2017 – Feb. 2020)
Medical image processing
Machine/Deep learning
M.S.
Electronical Engineering (Oct. 2010 – Aug. 2012)
Image processing
Machine learning
B.S.
B.S. Electronical Engineering (Mar. 2006 – Sep. 2010)
Signal & Image processing
Honor & Awards
2023
Poster Award Winner
The 2023 Annual Meeting of the American Society of Retina Specialists (ASRS)
우수 연제상
2023 Spring Confernce of The Korean Society of Medical Informatics (KoSMI)
2022
Best Abstract Award
Radiological Society of North America (RSNA)
Award for Best Abstract
AMAI workshop, Medical Image Computing and Computer Assisted Intervention (MICCAI)
2020
MIDL Honorable Mention Reviewer
European Radiology Peer Review Certificate
2019
Award for Excellent Records
The Korean Society of Artificial Intelligent in Medicine (KoSAIM)
2018
RSNA Pneumonia Detection Challenge 31th of 1510 Teams
MICCAI Computational Precision Medicine 4th of 311 Teams
2011
LG Research Supporting Scholarship