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Journal Articles
- 2025
[j12]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
:
Low-dose computed tomography perceptual image quality assessment. Medical Image Anal. 99: 103343 (2025)- 2023
- [j11]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
- [j10]Minah Han, Hyunjung Shim, Jongduk Baek:
Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser. IEEE Access 10: 62412-62422 (2022) - [j9]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) - [j8]Wonkyeong Lee, Eunbyeol Cho, Wonjin Kim, Hyebin Choi, Kyongmin Sarah Beck, Hyun Jung Yoon, Jongduk Baek, Jang-Hwan Choi:
No-reference perceptual CT image quality assessment based on a self-supervised learning framework. Mach. Learn. Sci. Technol. 3(4): 45033 (2022) - 2021
- [j7]Youngjun Ko, Seunghyuk Moon, Jongduk Baek, Hyunjung Shim:
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module. Medical Image Anal. 67: 101883 (2021) - [j6]Byeongjoon Kim, Hyunjung Shim, Jongduk Baek:
Weakly-supervised progressive denoising with unpaired CT images. Medical Image Anal. 71: 102065 (2021) - [j5]Dahim Choi, Wonjin Kim, Jiyeon Lee, Mina Han, Jongduk Baek, Jang-Hwan Choi:
Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT. Mach. Vis. Appl. 32(6): 116 (2021) - 2020
- [j4]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) - 2018
- [j3]Shinkook Choi, Jinsung Kim, Jongduk Baek:
A Hybrid Approach to Reduce Cone-Beam Artifacts for a Circular Orbit Cone-Beam CT System. IEEE Access 6: 54595-54606 (2018) - 2016
- [j2]Changwoo Lee, Jongduk Baek:
A Sphere Phantom Approach to Measure Directional Modulation Transfer Functions for Tomosynthesis Imaging Systems. IEEE Trans. Medical Imaging 35(3): 871-881 (2016) - 2015
- [j1]Changwoo Lee, Jongduk Baek:
A New Method to Measure Directional Modulation Transfer Function Using Sphere Phantoms in a Cone Beam Computed Tomography System. IEEE Trans. Medical Imaging 34(4): 902-910 (2015)
Conference and Workshop Papers
- 2022
- [c16]Minwoo Yu, Minah Han, Jongduk Baek:
A convolutional neural network based super resolution technique of CT image utilizing both sinogram domain and image domain data. Image Processing 2022 - [c15]Minah Han, Jongduk Baek:
Low-dose CT denoising via CNN trained using images with activation map. Image Perception, Observer Performance, and Technology Assessment 2022 - 2021
- [c14]Sungmin Cha, Taeeon Park, Byeongjoon Kim, Jongduk Baek, Taesup Moon:
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images. ICLR 2021 - [c13]Gihun Kim, Jongduk Baek:
Implementation of CNN-based multi-slice model observer for 3D cone beam CT. Image Perception, Observer Performance, and Technology Assessment 2021 - 2020
- [c12]Byeongjoon Kim, Minah Han, Jongduk Baek:
Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images. Image Perception, Observer Performance, and Technology Assessment 2020: 113160Y - [c11]Changwoo Lee, Jongduk Baek:
Implementation of an anthropomorphic model observer using convolutional neural network for breast tomosynthesis images. Image Perception, Observer Performance, and Technology Assessment 2020: 1131611 - [c10]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. Image Perception, Observer Performance, and Technology Assessment 2020: 1131612 - 2019
- [c9]Gihun Kim, Minah Han, Hyunjung Shim, Jongduk Baek:
Implementation of an ideal observer model using convolutional neural network for breast CT images. Image Perception, Observer Performance, and Technology Assessment 2019: 109520L - 2018
- [c8]Shinkook Choi, Jongduk Baek:
A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images. Image Processing 2018: 105741Q - [c7]Minah Han, Hanjoo Jang, Jongduk Baek:
Lesion detection performance of cone beam CT images with anatomical background noise: single-slice vs multi-slice human and model observer study. Image Perception, Observer Performance, and Technology Assessment 2018: 105770N - [c6]Gihun Kim, Hyunjung Shim, Jongduk Baek:
Feasibility study of deep convolutional generative adversarial networks to generate mammography images. Image Perception, Observer Performance, and Technology Assessment 2018: 105771C - 2016
- [c5]Changwoo Lee, Jongduk Baek, Subok Park:
Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation. Image Perception, Observer Performance, and Technology Assessment 2016: 97870V - [c4]Minah Han, Subok Park, Jongduk Baek:
Effect of anatomical backgrounds on detectability in volumetric cone beam CT images. Image Perception, Observer Performance, and Technology Assessment 2016: 978717 - 2015
- [c3]Youngjun Ko, Jongduk Baek, Hyunjung Shim:
3D motion artifact compenstation in CT image with depth camera. Image Processing: Machine Vision Applications 2015: 94050R - 2014
- [c2]Sunsik Ryu, Jongduk Baek:
A Comparative Study on Interpolation Methods in Rebinning Circular Fan-Beam Data into Parallel-Beam Data. CBMS 2014: 505-506 - 2013
- [c1]Shinkook Choi, Jongduk Baek:
Multi-source inverse geometry CT(MS-IGCT) system: A new concept of 3D CT imaging. IVMSP 2013: 1-3
Data and Artifacts
- 2023
- [d1]Wonkyeong Lee, Fabian Wagner, Andreas Maier, Adam S. Wang, Jongduk Baek, Scott S. Hsieh, Jang-Hwan Choi:
Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023). Zenodo, 2023
Coauthor Index
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