Feasibility study of deep convolutional generative adversarial networks to generate mammography images. - Gihun Kim; Hyunjung Shim; Jongduk Baek (Image Perception, Observer Performance, and Technology Assessment, 2018)

Implementation of an ideal observer model using convolutional neural network for breast CT images. - Gihun Kim; Minah Han; Hyunjung Shim; Jongduk Baek (Image Perception, Observer Performance, and Technology Assessment, 2019)

Implementation of CNN-based multi-slice model observer for 3D cone beam CT. - Gihun Kim; Jongduk Baek (Image Perception, Observer Performance, and Technology Assessment, 2021)

Which Factors Affect the Stress of Intraoperative Orthopedic Surgeons by Using Electroencephalography Signals and Heart Rate Variability? - Ji-Won Kwon; Soo-Bin Lee; Sahyun Sung; Yung Park; Joong-Won Ha; Gihun Kim; Kyung-Soo Suk; Hak-Sun Kim; Hwan-Mo Lee; Seong-Hwan Moon; Byung Ho Lee (Sensors, 2021)

Infusing Model Predictive Control Into Meta-Reinforcement Learning for Mobile Robots in Dynamic Environments. - Jaeuk Shin; Astghik Hakobyan; Mingyu Park; Yeoneung Kim; Gihun Kim; Insoon Yang (IEEE Robotics Autom. Lett., 2022)

On Concentration Bounds for Bayesian Identification of Linear Non-Gaussian Systems. - Yeoneung Kim; Gihun Kim; Insoon Yang (CDC, 2023)

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret. - Yeoneung Kim; Gihun Kim; Insoon Yang (CoRR, 2024)

Control of Fab Lifters via Deep Reinforcement Learning: A Semi-MDP Approach. - Giho Kim; Jaeuk Shin; Gihun Kim; Joonrak Kim; Insoon Yang (IEEE Trans Autom. Sci. Eng., 2024)

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O( sqrt{T})$ Regret. - Yeoneung Kim; Gihun Kim; Jiwhan Park; Insoon Yang (L4DC, 2025)

A diffusion-based generative model for financial time series via geometric Brownian motion. - Gihun Kim; Sun-Yong Choi; Yeoneung Kim (CoRR, 2025)