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Journal Articles
- 2023
[j4]Seungwon Choi
, Byeongjoon Kim, Chulkyu Park, Jueon Park, Yousuk Kim, Sungil Choi, Jongduk Baek:
Helical Artifact Reduction Method Using Image Segmentation With CNN Denoising Technique. IEEE Access 11: 49261-49272 (2023)- 2022
- [j3]Byeongjoon Kim, Sarah E. Divel, Norbert J. Pelc, Jongduk Baek:
A Methodology to Train a Convolutional Neural Network-Based Low-Dose CT Denoiser With an Accurate Image Domain Noise Insertion Technique. IEEE Access 10: 86395-86407 (2022) - 2021
- [j2]Byeongjoon Kim, Hyunjung Shim, Jongduk Baek:
Weakly-supervised progressive denoising with unpaired CT images. Medical Image Anal. 71: 102065 (2021) - 2020
- [j1]Byeongjoon Kim, Minah Han, Jongduk Baek:
A Convolutional Neural Network-Based Anthropomorphic Model Observer for Signal Detection in Breast CT Images Without Human-Labeled Data. IEEE Access 8: 162122-162131 (2020)
Conference and Workshop Papers
- 2021
- [c3]Sungmin Cha, Taeeon Park, Byeongjoon Kim, Jongduk Baek, Taesup Moon:
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images. ICLR 2021 - 2020
- [c2]Byeongjoon Kim, Minah Han, Jongduk Baek:
Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160Y - [c1]Minah Han, Byeongjoon Kim, Jongduk Baek:
A performance comparison of convolutional neural network based anthropomorphic model observer and linear model observer for signal-known statistically detection tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 1131612
Coauthor Index
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