In Kyu Lee

Ph.D. Student @University of California, San Diego

inqlee0704 [at] gmail.com
CV·Google Scholar·LinkedIn

My research sits at the intersection of physics, medical imaging, and AI — synchrotron micro-CT of bone marrow, coronary angiography, and quantitative CT pipelines that combine image registration, deep learning, and statistical modeling, lately with a focus on self-supervised learning. I work with Dr. Claire Acevedo at UC San Diego, after an M.S. in Bioengineering (Honors) at the University of Kansas with Dr. Jiwoong Choi and Dr. William Brooks, and a B.S. in Aerospace Engineering & Mechanics with a Computer Science minor at the University of Minnesota with Dr. Hyun Soo Park.

Publications

Disruption of Marrow Microenvironments in Chronic Lymphocytic Leukemia by High-Resolution Synchrotron Micro-Computed Tomography

Lee IK, Obata Y, Pomicter A, Williams J, Kikani B, Jensen C, Sborov D, Stephens D, Acevedo C — Communications Medicine, 2026 (accepted)

Anatomy-Grounded Synthetic Coronary Angiography for Geometry-Informed Multi-View Matching

Lee IK*, Seo S*, Min J — MICCAI, 2026 (* equal contribution)

Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection

Seo S, Lee IK, Kim H-W, Min J, Jung C-H — MICCAI, 2025

Gray’s Anatomy for Segmenting Anything Model: Optimizing Grayscale Medical Images for Fast and Lightweight Segmentation

Lee IK, Ku J, Choi Y — CVPR Workshop: MedSAM, 2024

SASS: Semi-Supervised Approach for Stenosis Segmentation

Lee IK, Shin J, Lee Y-H, Ku JH, Kim H-W — MICCAI Workshop: ARCADE, 2023 · 1st place, stenosis track

MPSeg: Multi-Phase Strategy for Coronary Artery Segmentation

Ku JH, Lee Y-H, Shin J, Lee IK, Kim H-W — MICCAI Workshop: ARCADE, 2023 · 2nd place, artery track

HUMBI: A Large Multiview Dataset of Human Body Expressions

Yu Z*, Yoon JS*, Lee IK, Venkatesh P, Park J, Yu J, Park HS — CVPR, 2020 (* equal contribution)

Thesis

Conference Presentations

• Oct 2025Disruption of marrow microenvironments in CLL by high-resolution synchrotron micro-CT

  Society of Engineering Science (SES), Atlanta — oral

• May 2022Quantitative CT and CFD explain bronchodilator-induced regional ventilation improvement in asthma

  International Collaborative Asthma Network (ICAN), San Francisco — oral

• May 2021Toward extended quantitative CT imaging application with deep transfer learning

  American Thoracic Society (ATS) — poster

Experience

• 2024 – PresentGraduate Research Assistant · UC San Diego, F² Lab

  Segmentation and quantification pipeline for micro-CT; marrow microenvironments in CLL using synchrotron micro-CT.

• 2022 – 2024Research Scientist · Medipixel

  Frame recommendation from image quality assessment, shipped in MPXA; local refinement for coronary lesions and bifurcations; video-based complication detection; led the MICCAI ARCADE Challenge; automated CFD with PyFluent.

• 2020 – 2022Graduate Research Assistant · KU Medical Center

  Quantitative CT pipeline: deep learning segmentation, image registration, and 1D CFD modeling.

• Summers 2019, 2020Research Assistant · Seoul National University Hospital

  Analyzed environmental exposure in lung-disease cohorts; associated QCT variables with particulate-matter exposure.

• 2019 – 2020Undergraduate Research Assistant · University of Minnesota

  Processed the Human Multiview Behavior Imaging (HUMBI) dataset; reconstructed 3D human body meshes from multiview 2D images.

• 2015 – 2017Sergeant · Republic of Korea Army

Teaching

• Fall 2026MAE 290A: Numerical Linear Algebra · Graduate TA, UC San Diego

• Spring 2026BENG/MAE 209: Continuum Mechanics Applied to Medicine & Biology · Graduate TA, UC San Diego

• Spring 2019AEM 3031: Deformable Body Mechanics · Undergraduate TA, University of Minnesota

• 2018 – 2020Peer Tutor · SMART Learning Commons, University of Minnesota

Honors & Awards

• 2025Abstract Achievement Award — American Society of Hematology (ASH)

• 2023MICCAI ARCADE Challenge — 1st place (stenosis), 2nd place (artery)

• 2023Social Issues Data & AI Analysis Competition — 2nd place, National Research Council of Korea

• 2023Outstanding Student Researcher Award — University of Kansas

• 2022Burn Diagnosis AI Challenge — 1st place, Ministry of Science and ICT of Korea

• 2022Lung Cancer WSI Segmentation Competition — 2nd place, Ajou University Medical Center

• 2022International Collaborative Asthma Network (ICAN) Travel Award

• 2022Plaque of Appreciation — President of the Korean American Society of Greater Kansas City

• 2019Undergraduate Research Opportunity Program (UROP) Award — University of Minnesota

• 2019Chester Gaskell Aeronautical Engineering Scholarship — University of Minnesota

Patents

• Method and apparatus for matching medical images considering phase of respiration signal
• Method and electronic device for labeling medical image
• Prediction model training method, FFR data generating method and electronic device performing the same

Certifications

• 2021Fundamentals of Accelerated Computing with CUDA Python — NVIDIA

• 2020AI for Healthcare Nanodegree — Udacity

• 2019Certified Level III Master Tutor — College Reading & Learning Association (CRLA)

Skills

Programming — Python, MATLAB, Fortran

Languages — Korean (native), English (fluent), Chinese (fluent)

Competitions — Kaggle Competitions Expert