Dr. Hoyeon Lee Profile

Dr. Hoyeon Lee

Research Fellow at Massachusetts General Hospital

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Publications (6)

Proceedings Article | 4 April 2022 Presentation + Paper

A feasibility study of dual-energy digital breast tomosynthesis for three-compartment-breast imaging

Hyeongseok Kim, Hoyeon Lee, Seoyoung Lee, Young-Wook Choi, Young Jin Choi, Kee Hyun Kim, Wontaek Seo, Choul Woo Shin, Seungryong Cho

Proceedings Volume 12031, 1203103 (2022) https://doi.org/10.1117/12.2611606

KEYWORDS: Digital breast tomosynthesis, Proteins, Calibration, Breast, X-rays, Prototyping, Data acquisition, Tissues, Solids, Diagnostics

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Proceedings Article | 22 May 2020 Paper

Convolutional-neural-network based breast thickness correction in digital breast tomosynthesis

Seoyoung Lee, Hyeongseok Kim, Hoyeon Lee, Uijin Jeong, Seungryong Cho

Proceedings Volume 11513, 115131E (2020) https://doi.org/10.1117/12.2560909

KEYWORDS: Breast, Digital breast tomosynthesis, Image segmentation, Convolution, X-rays, Convolutional neural networks, Image compression, Machine learning

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Proceedings Article | 28 May 2019 Paper

Reconstructing interior transmission tomographic images with an offset-detector using a deep-neural-network

Hoyeon Lee, Hyeongseok Kim, Seungryong Cho

Proceedings Volume 11072, 1107230 (2019) https://doi.org/10.1117/12.2534888

KEYWORDS: Tomography, Neural networks, Medical imaging, Computed tomography, Image restoration

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Proceedings Article | 2 March 2018 Paper

Sinogram synthesis using convolutional-neural-network for sparsely view-sampled CT

Jongha Lee, Hoyeon Lee, Seungryong Cho

Proceedings Volume 10574, 105742A (2018) https://doi.org/10.1117/12.2293244

KEYWORDS: Computed tomography, Image quality, Reconstruction algorithms, Convolution, Image restoration, Super resolution, Image filtering, Algorithm development, Image analysis

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Proceedings Article | 24 February 2017 Paper

View-interpolation of sparsely sampled sinogram using convolutional neural network

Hoyeon Lee, Jongha Lee, Suengryong Cho

Proceedings Volume 10133, 1013328 (2017) https://doi.org/10.1117/12.2254244

KEYWORDS: Convolutional neural networks, Neural networks, Computed tomography, Compressed sensing, Image quality, Image analysis, Image restoration, CT reconstruction, Data modeling, Analytical research

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Proceedings Article | 25 March 2016 Paper

Scatter correction in CBCT with an offset detector through a deconvolution method using data consistency

Changhwan Kim, Miran Park, Hoyeon Lee, Seungryong Cho

Proceedings Volume 9783, 97832S (2016) https://doi.org/10.1117/12.2214933

KEYWORDS: Deconvolution, Data acquisition, Computer simulations, X-ray imaging, Scattering, Data corrections, Head, Image quality, Convolution, Medical imaging, Fluctuations and noise

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Showing 5 of 6 publications

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