Helical Artifact Reduction Method Using Image Segmentation With CNN Denoising Technique - Seungwon Choi; Byeongjoon Kim; Chulkyu Park; Jueon Park; Yousuk Kim; Sungil Choi; Jongduk Baek (IEEE Access, 2023)

A Methodology to Train a Convolutional Neural Network-Based Low-Dose CT Denoiser With an Accurate Image Domain Noise Insertion Technique - Byeongjoon Kim; Sarah E. Divel; Norbert J. Pelc; Jongduk Baek (IEEE Access, 2022)

Weakly-supervised progressive denoising with unpaired CT images - Byeongjoon Kim; Hyunjung Shim; Jongduk Baek (Medical Image Anal., 2021)

GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images - Sungmin Cha; Taeeon Park; Byeongjoon Kim; Jongduk Baek; Taesup Moon (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021)

A Convolutional Neural Network-Based Anthropomorphic Model Observer for Signal Detection in Breast CT Images Without Human-Labeled Data - Byeongjoon Kim; Minah Han; Jongduk Baek (IEEE Access, 2020)

Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images - Byeongjoon Kim; Minah Han; Jongduk Baek (Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, Houston, TX, USA, February 15-20, 2020, 2020)

A performance comparison of convolutional neural network based anthropomorphic model observer and linear model observer for signal-known statistically detection tasks - Minah Han; Byeongjoon Kim; Jongduk Baek (Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, Houston, TX, USA, February 15-20, 2020, 2020)