Jongduk Baek
Orcid: 0000-0002-2532-5413
According to our database1,
Jongduk Baek
authored at least 29 papers
between 2013 and 2025.
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Bibliography
2025
Medical Image Anal., 2025
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
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
Medical Image Anal., 2021
Medical Image Anal., 2021
Proceedings of the Medical Imaging 2021: Image Perception, 2021
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
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
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
Proceedings of the 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, 2013