Byeongjoon Kim

According to our database, Byeongjoon Kim authored at least 7 papers between 2020 and 2023.

Collaborative distances:

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

2023

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

2022

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

2021

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

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images.

Byeongjoon Kim, Minah Han, Jongduk Baek

Proceedings of the Medical Imaging 2020: Image Perception, 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

Proceedings of the Medical Imaging 2020: Image Perception, 2020