Jongduk Baek

Orcid: 0000-0002-2532-5413

According to our database1, Jongduk Baek authored at least 28 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Low-dose Computed Tomography Perceptual Image Quality Assessment Grand Challenge Dataset (MICCAI 2023).
Dataset, April, 2023

Helical Artifact Reduction Method Using Image Segmentation With CNN Denoising Technique.
IEEE Access, 2023

2022
No-reference perceptual CT image quality assessment based on a self-supervised learning framework.
Mach. Learn. Sci. Technol., December, 2022

A Methodology to Train a Convolutional Neural Network-Based Low-Dose CT Denoiser With an Accurate Image Domain Noise Insertion Technique.
IEEE Access, 2022

Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser.
IEEE Access, 2022

Low-dose CT denoising via CNN trained using images with activation map.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

A convolutional neural network based super resolution technique of CT image utilizing both sinogram domain and image domain data.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021
Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT.
Mach. Vis. Appl., 2021

Rigid and non-rigid motion artifact reduction in X-ray CT using attention module.
Medical Image Anal., 2021

Weakly-supervised progressive denoising with unpaired CT images.
Medical Image Anal., 2021

Implementation of CNN-based multi-slice model observer for 3D cone beam CT.
Proceedings of the Medical Imaging 2021: Image Perception, 2021

GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images.
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.
IEEE Access, 2020

Implementation of an anthropomorphic model observer using convolutional neural network for breast tomosynthesis images.
Proceedings of the Medical Imaging 2020: Image Perception, 2020

Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images.
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.
Proceedings of the Medical Imaging 2020: Image Perception, 2020

2019
Implementation of an ideal observer model using convolutional neural network for breast CT images.
Proceedings of the Medical Imaging 2019: Image Perception, 2019

2018
A Hybrid Approach to Reduce Cone-Beam Artifacts for a Circular Orbit Cone-Beam CT System.
IEEE Access, 2018

Feasibility study of deep convolutional generative adversarial networks to generate mammography images.
Proceedings of the Medical Imaging 2018: Image Perception, 2018

Lesion detection performance of cone beam CT images with anatomical background noise: single-slice vs multi-slice human and model observer study.
Proceedings of the Medical Imaging 2018: Image Perception, 2018

A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

2016
A Sphere Phantom Approach to Measure Directional Modulation Transfer Functions for Tomosynthesis Imaging Systems.
IEEE Trans. Medical Imaging, 2016

Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

Effect of anatomical backgrounds on detectability in volumetric cone beam CT images.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

2015
A New Method to Measure Directional Modulation Transfer Function Using Sphere Phantoms in a Cone Beam Computed Tomography System.
IEEE Trans. Medical Imaging, 2015

3D motion artifact compenstation in CT image with depth camera.
Proceedings of the Image Processing: Machine Vision Applications VIII, 2015

2014
A Comparative Study on Interpolation Methods in Rebinning Circular Fan-Beam Data into Parallel-Beam Data.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
Multi-source inverse geometry CT(MS-IGCT) system: A new concept of 3D CT imaging.
Proceedings of the 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, 2013


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