Jongduk Baek

28 papers A* 1B 3Journal 12Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Low-dose computed tomography perceptual image quality assessment.
Medical Image Anal.
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 S. Wang, Garry Evan Gold, Jang-Hwan Choi
2023 J jnl
Helical Artifact Reduction Method Using Image Segmentation With CNN Denoising Technique.
IEEE Access
Seungwon Choi, Byeongjoon Kim, Chulkyu Park, Jueon Park, Yousuk Kim, Sungil Choi, Jongduk Baek
2022 J jnl
A Methodology to Train a Convolutional Neural Network-Based Low-Dose CT Denoiser With an Accurate Image Domain Noise Insertion Technique.
IEEE Access
Byeongjoon Kim, Sarah E. Divel, Norbert J. Pelc, Jongduk Baek
2022 B conf
A convolutional neural network based super resolution technique of CT image utilizing both sinogram domain and image domain data.
Image Processing
Minwoo Yu, Minah Han, Jongduk Baek
2022 — conf
Low-dose CT denoising via CNN trained using images with activation map.
Image Perception, Observer Performance, and Technology Assessment
Minah Han, Jongduk Baek
2022 J jnl
No-reference perceptual CT image quality assessment based on a self-supervised learning framework.
Mach. Learn. Sci. Technol.
Wonkyeong Lee, Eunbyeol Cho, Wonjin Kim, Hyebin Choi, Kyongmin Sarah Beck, Hyun Jung Yoon, Jongduk Baek, Jang-Hwan Choi
2022 J jnl
Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser.
IEEE Access
Minah Han, Hyunjung Shim, Jongduk Baek
2021 A* conf
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images.
ICLR
Sungmin Cha, Taeeon Park, Byeongjoon Kim, Jongduk Baek, Taesup Moon
2021 — conf
Implementation of CNN-based multi-slice model observer for 3D cone beam CT.
Image Perception, Observer Performance, and Technology Assessment
Gihun Kim, Jongduk Baek
2021 J jnl
Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT.
Mach. Vis. Appl.
Dahim Choi, Wonjin Kim, Jiyeon Lee, Mina Han, Jongduk Baek, Jang-Hwan Choi
2021 J jnl
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module.
Medical Image Anal.
Youngjun Ko, Seunghyuk Moon, Jongduk Baek, Hyunjung Shim
2021 J jnl
Weakly-supervised progressive denoising with unpaired CT images.
Medical Image Anal.
Byeongjoon Kim, Hyunjung Shim, Jongduk Baek
2020 J jnl
A Convolutional Neural Network-Based Anthropomorphic Model Observer for Signal Detection in Breast CT Images Without Human-Labeled Data.
IEEE Access
Byeongjoon Kim, Minah Han, Jongduk Baek
2020 — conf
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
Minah Han, Byeongjoon Kim, Jongduk Baek
2020 — conf
Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images.
Image Perception, Observer Performance, and Technology Assessment
Byeongjoon Kim, Minah Han, Jongduk Baek
2020 — conf
Implementation of an anthropomorphic model observer using convolutional neural network for breast tomosynthesis images.
Image Perception, Observer Performance, and Technology Assessment
Changwoo Lee, Jongduk Baek
2019 — conf
Implementation of an ideal observer model using convolutional neural network for breast CT images.
Image Perception, Observer Performance, and Technology Assessment
Gihun Kim, Minah Han, Hyunjung Shim, Jongduk Baek
2018 J jnl
A Hybrid Approach to Reduce Cone-Beam Artifacts for a Circular Orbit Cone-Beam CT System.
IEEE Access
Shinkook Choi, Jinsung Kim, Jongduk Baek
2018 B conf
A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images.
Image Processing
Shinkook Choi, Jongduk Baek
2018 — conf
Feasibility study of deep convolutional generative adversarial networks to generate mammography images.
Image Perception, Observer Performance, and Technology Assessment
Gihun Kim, Hyunjung Shim, Jongduk Baek
2018 — conf
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
Minah Han, Hanjoo Jang, Jongduk Baek
2016 J jnl
A Sphere Phantom Approach to Measure Directional Modulation Transfer Functions for Tomosynthesis Imaging Systems.
IEEE Trans. Medical Imaging
Changwoo Lee, Jongduk Baek
2016 — conf
Effect of anatomical backgrounds on detectability in volumetric cone beam CT images.
Image Perception, Observer Performance, and Technology Assessment
Minah Han, Subok Park, Jongduk Baek
2016 — conf
Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation.
Image Perception, Observer Performance, and Technology Assessment
Changwoo Lee, Jongduk Baek, Subok Park
2015 — conf
3D motion artifact compenstation in CT image with depth camera.
Image Processing: Machine Vision Applications
Youngjun Ko, Jongduk Baek, Hyunjung Shim
2015 J jnl
A New Method to Measure Directional Modulation Transfer Function Using Sphere Phantoms in a Cone Beam Computed Tomography System.
IEEE Trans. Medical Imaging
Changwoo Lee, Jongduk Baek
2014 B conf
A Comparative Study on Interpolation Methods in Rebinning Circular Fan-Beam Data into Parallel-Beam Data.
CBMS
Sunsik Ryu, Jongduk Baek
2013 — conf
Multi-source inverse geometry CT(MS-IGCT) system: A new concept of 3D CT imaging.
IVMSP
Shinkook Choi, Jongduk Baek