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Nuclear Engineering / 원자력공학과
Jimin Lee 이지민
Nuclear Engineering / 원자력공학과
+82-52-217-2916
jiminlee@unist.ac.kr
https://sites.google.com/view/rami-lab
Bldg. 112 Rm. 505
Curriculum Vitae
• 2021 – Present: Assistant Professor, UNIST
• 2015: Intern, Australian Nuclear Science and Technology Organization (ANSTO)
Academic Credential
• 2021: Ph. D. Biomedical Radiation Sciences, Seoul National University
• 2015: B. S. Nuclear & Quantum Engineering, KAIST
Awards/Honors/Memberships
• 2021: Best Paper Award from Seoul National University
• 2016: Best Poster Award at 2016 Korean Nuclear Society Spring Meeting
• 2017 – Present: Executive of TensorFlow Korea
• 2016 – Present: Member of American Association of Physicists in Medicine
• 2016 – Present: Member of Korean Nuclear Society
Radiation & Medical Intelligence Lab (RAMI Lab) has conducted various research applying artificial intelligence (AI) technology into medical, radiation, and nuclear engineering domain. The research has been mainly focused on computer vision tasks applied to medical images. We aim to develop various AI technologies, which would be practically helpful in clinical practice, such as metal artifact reduction or multi-organ segmentation in computed tomography (CT). Currently, we are conducting collaborative research with Seoul National University, Department of Radiology in Seoul National University Hospital, and Department of Radiation Oncology in Samsung Medical Center.
Major research field
Physics-informed Artificial Intelligence (AI), Computer Vision, Medical Imaging (X-ray, CT), Radiation Physics
Desired field of research
Development of various Artificial Intelligence (AI) applications based on domain knowledge of medical, radiation, and nuclear engineering fields
Research Keywords and Topics
• Physics-informed Artificial Intelligence
• Classification and Segmentation Technologies for Medical Images
• Image-to-Image Translation and Generation Technologies for Medical Images
Research Publications
• IEEE Transactions on Nuclear Science / Compton background elimination for in vivo X-ray fluorescence imaging of gold nanoparticles using convolutional neural network / Seongmoon Jung, Jimin Lee, Hyungjoo Cho, Taeyun Kim, Sung-Joon Ye (cofirst) / 2020-09
• IEEE Access / Deep-learning-based label-free segmentation of cell nuclei in time- lapse refractive index tomograms / Jimin Lee, Hyejin Kim, Hyungjoo Cho, YoungJu Jo, Yujin Song, Daewoong Ahn, Kangwon Lee, YongKeun Park, Sung-Joon Ye / 2019-06
• Physics in Medicine & Biology / Fano cavity test for electron Monte Carlo transport algorithms in magnetic fields: comparison between EGSnrc, PENELOPE, MCNP6 and Geant4 / Jaegi Lee, Jimin Lee, Dongmin Ryu, Hochan Lee, Sung-Joon Ye / 2018-10
Patents
• Heejung Kim, Jimin Lee, Hyungjoo Cho, Sung-Joon Ye, “SYSTEM AND METHOD FOR SEGMENTING NORMAL ORGAN AND/OR TUMOR STRUCTURE BASED ON ARTIFICIAL INTELLIGENCE FOR RADIATION TREATMENT PLANNING,” US 16/946,480 (2020)
• Jimin Lee, Hyungjoo Cho, Hee-Dong Chae, Sung-Joon Ye, “Apparatus and Method for Removing Metal Artifact of Computer Tomography Image Based on Artificial Intelligence,” KR 10-2019-0159149 (2019)
