Mr. Burnyoung Kim Profile

Burnyoung Kim

at Konyang Univ

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Author

Publications (9)

Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Limited-angle CT reconstruction via data-driven deep neural network

Dobin Yim, Burnyoung Kim, Seungwan Lee

Proceedings Volume 11595, 115952V (2021) https://doi.org/10.1117/12.2580692

KEYWORDS: CT reconstruction, Reconstruction algorithms, Computed tomography, Neural networks, Signal to noise ratio, Optical filters, Medicine, Image filtering, Deconvolution, Convolution

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Proceedings Article | 16 March 2020 Paper

Reduction of truncation artifact in stationary inverse-geometry digital tomosynthesis using convolutional neural network

Burnyoung Kim, Dobin Yim, Seungwan Lee

Proceedings Volume 11312, 113124I (2020) https://doi.org/10.1117/12.2547703

KEYWORDS: Sensors, Convolutional neural networks, X-ray sources, Diagnostics, Detector arrays, Performance modeling, Computer programming, Convolution, Reconstruction algorithms, Lung

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Proceedings Article | 16 March 2020 Paper

Effect of geometric variations on image characteristics in digital tomosynthesis

Seungwan Lee, Burnyoung Kim, Dobin Yim, Youngjin Lee

Proceedings Volume 11312, 113122D (2020) https://doi.org/10.1117/12.2543148

KEYWORDS: Image quality, Imaging systems, X-ray sources, Image analysis, Spatial resolution, Modulation transfer functions, Digital imaging, Sensors, Spatial frequencies, 3D image processing

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Proceedings Article | 16 March 2020 Paper

Simultaneous denoising and spatial resolution enhancement using convolutional neural network-based linear model in diagnostic CT images

Dobin Yim, Burnyoung Kim, Seungwan Lee

Proceedings Volume 11312, 1131245 (2020) https://doi.org/10.1117/12.2548378

KEYWORDS: Computed tomography, Spatial resolution, Denoising, Super resolution, Image resolution, Convolutional neural networks, Signal to noise ratio, Neural networks, Resolution enhancement technologies, Diagnostics

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Proceedings Article | 1 March 2019 Paper

Improvement of material decomposition accuracy using denoising and deblurring techniques in spectral mammography

Jisoo Eom, Burnyoung Kim, Wonhyung Kim, Youngjin Lee, Seungwan Lee

Proceedings Volume 10948, 109485N (2019) https://doi.org/10.1117/12.2512680

KEYWORDS: Denoising, Modulation transfer functions, Spatial resolution, Mammography, Image quality, Digital mammography, Monte Carlo methods, Image processing

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Proceedings Article | 1 March 2019 Paper

Preliminary study on optimization of the stationary inverse-geometry digital tomosynthesis: x-ray source array

Burnyoung Kim, Jisoo Eom, Wonhyung Kim, Seungwan Lee

Proceedings Volume 10948, 109485D (2019) https://doi.org/10.1117/12.2512356

KEYWORDS: X-ray sources, Image quality, X-rays, Data corrections, CT reconstruction, Imaging systems, Systems modeling

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Proceedings Article | 9 March 2018 Paper

Development of respiratory-correlated 4D digital tomosynthesis imaging technique for image-guided radiation therapy

Burnyoung Kim, Sooncheol Kang, Jisoo Eom, Seungwan Lee

Proceedings Volume 10573, 105735P (2018) https://doi.org/10.1117/12.2292967

KEYWORDS: 3D image processing, 3D image reconstruction, Optical spheres, Radiotherapy, Image quality, Digital imaging, Computed tomography, Imaging systems, 3D modeling, Sensors

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Proceedings Article | 9 March 2018 Paper

Feasibility of material decomposition using non-radioactive Xe for pulmonary function test in spectral x-ray system: a Monte Carlo simulation study

Jisoo Eom, Sooncheol Kang, Burnyoung Kim, Seungwan Lee

Proceedings Volume 10573, 105734R (2018) https://doi.org/10.1117/12.2293276

KEYWORDS: Lung, Xenon, Chronic obstructive pulmonary disease, X-rays, Polymethylmethacrylate, Pulmonary function tests, Monte Carlo methods, Sensors, Signal attenuation, X-ray imaging

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Proceedings Article | 9 March 2018 Paper

Development of virtual monochromatic imaging technique with spectral CT based on a photon-counting detector

Seungwan Lee, Sooncheol Kang, Jisoo Eom, Burnyoung Kim, Duhgoon Lee, Chang-Lae Lee, Jinwook Jung, Wooyoung Jang, Yuna Choi

Proceedings Volume 10573, 1057354 (2018) https://doi.org/10.1117/12.2292966

KEYWORDS: Computed tomography, Photodetectors, Image quality, Systems modeling, X-ray imaging, X-rays

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Showing 5 of 9 publications

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