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 (Image Perception, Observer Performance, and Technology Assessment, 2020)

Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images. - Byeongjoon Kim; Minah Han; Jongduk Baek (Image Perception, Observer Performance, and Technology Assessment, 2020)

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)

GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images. - Sungmin Cha; Taeeon Park; Byeongjoon Kim; Jongduk Baek; Taesup Moon (ICLR, 2021)

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

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)

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)