Wonkyeong Lee

According to our database, Wonkyeong Lee authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Low-dose computed tomography perceptual image quality assessment.

Wonkyeong Lee, Fabian Wagner, Adrian Galdran, Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou, Md. Atik Ahamed, Abdullah Al Zubaer Imran, Ji Eun Oh, Kyungsang Kim, Jong Tak Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott S. Hsieh, Minah Han, Jongduk Baek, Andreas Maier, Adam Wang, Garry Evan Gold, Jang-Hwan Choi

Medical Image Anal., 2025

2024

Efficient Deep-Detector Image Quality Assessment Based on Knowledge Distillation.

Wonkyeong Lee, Garry E. Gold, Jang Hwan Choi

IEEE Trans. Instrum. Meas., 2024

2023

Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023).

Wonkyeong Lee, Fabian Wagner, Andreas Maier, Adam S. Wang, Jongduk Baek, Scott S. Hsieh, Jang-Hwan Choi

Dataset, April, 2023

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

Mach. Learn. Sci. Technol., December, 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

Proceedings of the Medical Imaging 2022: Image Perception, 2022

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

Proceedings of the Machine Learning for Medical Image Reconstruction, 2022