Deep Denoising Network for X-Ray Fluoroscopic Image Sequences of Moving Objects. - Wonjin Kim; Wonkyeong Lee; Sun-Young Jeon; Nayeon Kang; Geonhui Jo; Jang-Hwan Choi 001 (MLMIR@MICCAI, 2022)

Performance evaluation of image quality metrics for perceptual assessment of low-dose computed tomography images. - Wonkyeong Lee; Eunbyeol Cho; Wonjin Kim; Jang-Hwan Choi 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

No-reference perceptual CT image quality assessment based on a self-supervised learning framework. - Wonkyeong Lee; Eunbyeol Cho; Wonjin Kim; Hyebin Choi; Kyongmin Sarah Beck; Hyun Jung Yoon; Jongduk Baek; Jang-Hwan Choi 001 (Mach. Learn. Sci. Technol., 2022)

Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023). - Wonkyeong Lee; Fabian Wagner; Andreas Maier 001; Adam S. Wang; Jongduk Baek; Scott S. Hsieh; Jang-Hwan Choi 001 (Zenodo, 2023)

Efficient Deep-Detector Image Quality Assessment Based on Knowledge Distillation. - Wonkyeong Lee; Garry E. Gold; Jang Hwan Choi 001 (IEEE Trans. Instrum. Meas., 2024)

Low-dose computed tomography perceptual image quality assessment. - Wonkyeong Lee; Fabian Wagner; Adrian Galdran; Yongyi Shi; Wenjun Xia; Ge Wang 001; Xuanqin Mou; Md. Atik Ahamed; Abdullah-Al-Zubaer Imran; Ji Eun Oh; Kyungsang Kim; Jong Tak Baek; et al. (Medical Image Anal., 2025)