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Byeongjoon Kim

Showing results (1-10 of 9) with videos related to

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Medical Image Analysis|April 29, 2021
Weakly-supervised progressive denoising with unpaired CT imagesByeongjoon Kim, Hyunjung Shim, Jongduk Baek
Medical Physics|July 26, 2022
A streak artifact reduction algorithm in sparse-view CT using a self-supervised neural representationByeongjoon Kim, Hyunjung Shim, Jongduk Baek
Plos One|March 16, 2018
Human and model observer performance for lesion detection in breast cone beam CT images with the FDK reconstructionMinah Han, Byeongjoon Kim, Jongduk Baek
The Journal of Chemical Physics|September 17, 2015
Anisotropic superfluidity of (4)He on a C36 fullerene moleculeSungjin Park, Byeongjoon Kim, Yongkyung Kwon
Physics in Medicine and Biology|June 26, 2025
Dose-aware denoising diffusion model for low-dose CTSeongjun Kim, Byeongjoon Kim, Jongduk Baek
Medical Physics|July 16, 2019
A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT imagesByeongjoon Kim, Minah Han, Hyunjung Shim, et al.
Medical Physics|June 12, 2023
Sparsier2Sparse: Self-supervised convolutional neural network-based streak artifacts reduction in sparse-view CT imagesSeongjun Kim, Byeongjoon Kim, Jooho Lee, et al.
Medical Physics|July 30, 2022
Convolutional neural network-based metal and streak artifacts reduction in dental CT images with sparse-view sampling schemeSeongjun Kim, Junhyun Ahn, Byeongjoon Kim, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis|December 21, 2018
Predictive Modeling and Categorizing Likelihoods of Quarantine Pest Introduction of Imported Propagative Commodities from Different CountriesByeongJoon Kim, Seung Cheon Hong, Daniel Egger, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|April 29, 2021
Weakly-supervised progressive denoising with unpaired CT imagesByeongjoon Kim, Hyunjung Shim, Jongduk Baek
Medical Physics|July 26, 2022
A streak artifact reduction algorithm in sparse-view CT using a self-supervised neural representationByeongjoon Kim, Hyunjung Shim, Jongduk Baek
Plos One|March 16, 2018
Human and model observer performance for lesion detection in breast cone beam CT images with the FDK reconstructionMinah Han, Byeongjoon Kim, Jongduk Baek
The Journal of Chemical Physics|September 17, 2015
Anisotropic superfluidity of (4)He on a C36 fullerene moleculeSungjin Park, Byeongjoon Kim, Yongkyung Kwon
Physics in Medicine and Biology|June 26, 2025
Dose-aware denoising diffusion model for low-dose CTSeongjun Kim, Byeongjoon Kim, Jongduk Baek
Medical Physics|July 16, 2019
A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT imagesByeongjoon Kim, Minah Han, Hyunjung Shim, et al.
Medical Physics|June 12, 2023
Sparsier2Sparse: Self-supervised convolutional neural network-based streak artifacts reduction in sparse-view CT imagesSeongjun Kim, Byeongjoon Kim, Jooho Lee, et al.
Medical Physics|July 30, 2022
Convolutional neural network-based metal and streak artifacts reduction in dental CT images with sparse-view sampling schemeSeongjun Kim, Junhyun Ahn, Byeongjoon Kim, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis|December 21, 2018
Predictive Modeling and Categorizing Likelihoods of Quarantine Pest Introduction of Imported Propagative Commodities from Different CountriesByeongJoon Kim, Seung Cheon Hong, Daniel Egger, et al.
Pageof 1