Ms. Da-in Choi Profile

Da-in Choi

at KAIST

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Author

Publications (5)

Proceedings Article | 1 April 2024 Poster + Paper

Investigation on substantial asymmetry of HU value in dental cone-beam CT with offset detector

Sungho Yun, Dain Choi, Sung-Joon Ye, Gyuseong Cho, Seungryong Cho

Proceedings Volume 12925, 129253K (2024) https://doi.org/10.1117/12.3006338

KEYWORDS: Sensors, Computed tomography, Image restoration, Photons, Attenuation, Monte Carlo methods, Cone beam computed tomography, Laser scattering, Cancer detection, Quantum technologies

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Proceedings Article | 7 April 2023 Poster + Paper

Penalty-driven enhanced self-supervised learning (Noise2Void) for CBCT denoising

Sungho Yun, Uijin Jeong, Taejin Kwon, Dain Choi, Taewon Lee, Sung-Joon Ye, Gyuseong Cho, Seungryong Cho

Proceedings Volume 12463, 1246327 (2023) https://doi.org/10.1117/12.2652826

KEYWORDS: Computed tomography, Medical imaging, Denoising, Image sharpness, Education and training, Image quality, Tunable filters, Image restoration, Image filtering, Signal to noise ratio

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Proceedings Article | 18 October 2022 Open Access

Virtual non-metal network for metal artifact reduction in the sinogram domain

Da-in Choi, Taejin Kwon, Jaehong Hwang, Joon Il Hwang, Yeonkyoung Choi, Seungryong Cho

Proceedings Volume 12304, 1230426 (2022) https://doi.org/10.1117/12.2646950

KEYWORDS: Metals, Tissues, Image segmentation, Image quality, Nonmetals, Bone, Computer simulations, Computed tomography, Sensors, Medical imaging

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Proceedings Article | 3 October 2022 Presentation + Paper

CNN-based binary classification of 3D optical microscopic images

Da-in Choi, Taejin Kwon, Jeongtae So, Sunho Lim, Dongjun Woo, Nosung Lee, Jaewon Kim, Seungryong Cho

Proceedings Volume 12227, 122270G (2022) https://doi.org/10.1117/12.2631959

KEYWORDS: 3D image processing, Binary data, Image classification, Image processing, Glasses, Optical microscopy, Convolutional neural networks

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Proceedings Article | 27 March 2019 Paper

Artifact reduction using segmentation constrained RPCA for CT

Y. Kim, D. Choi, S. Lim, S. Cho

Proceedings Volume 11050, 110500H (2019) https://doi.org/10.1117/12.2523642

KEYWORDS: Image segmentation, Computed tomography, Medical imaging, Tissues, Image processing algorithms and systems, Video, Radiotherapy, Nuclear engineering, Machine vision, Computer vision technology

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