Jongduk Baek

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 25

Top Topics

Convolutional Neural Network

Artifact Reduction

Top Venues

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

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 (2023)
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 (2022)
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) (2022)
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 (2022)
Minah Han, Jongduk Baek
Low-dose CT denoising via CNN trained using images with activation map. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
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. Medical Imaging: Image Processing (2022)
Byeongjoon Kim, Hyunjung Shim, Jongduk Baek
Weakly-supervised progressive denoising with unpaired CT images. Medical Image Anal. 71 (2021)
Gihun Kim, Jongduk Baek
Implementation of CNN-based multi-slice model observer for 3D cone beam CT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
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 (2021)
Sungmin Cha, Taeeon Park, Byeongjoon Kim, Jongduk Baek, Taesup Moon
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images. ICLR (2021)
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) (2021)
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 (2020)
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)
Changwoo Lee, Jongduk Baek
Implementation of an anthropomorphic model observer using convolutional neural network for breast tomosynthesis images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
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)
Gihun Kim, Minah Han, Hyunjung Shim, Jongduk Baek
Implementation of an ideal observer model using convolutional neural network for breast CT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
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. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Shinkook Choi, Jongduk Baek
A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images. Medical Imaging: Image Processing (2018)
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 (2018)
Gihun Kim, Hyunjung Shim, Jongduk Baek
Feasibility study of deep convolutional generative adversarial networks to generate mammography images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Changwoo Lee, Jongduk Baek
A Sphere Phantom Approach to Measure Directional Modulation Transfer Functions for Tomosynthesis Imaging Systems. IEEE Trans. Medical Imaging 35 (3) (2016)
Changwoo Lee, Jongduk Baek, Subok Park
Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Minah Han, Subok Park, Jongduk Baek
Effect of anatomical backgrounds on detectability in volumetric cone beam CT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
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) (2015)
Youngjun Ko, Jongduk Baek, Hyunjung Shim
3D motion artifact compenstation in CT image with depth camera. Image Processing: Machine Vision Applications (2015)
Sunsik Ryu, Jongduk Baek
A Comparative Study on Interpolation Methods in Rebinning Circular Fan-Beam Data into Parallel-Beam Data. CBMS (2014)
Shinkook Choi, Jongduk Baek
Multi-source inverse geometry CT(MS-IGCT) system: A new concept of 3D CT imaging. IVMSP (2013)