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Showing results 1 to 5 of 5

1
A feasibility study on deep-neural-network-based dose-neutral dual-energy digital breast tomosynthesis

Kim, Hyeongseok; Lee, Hoyeon; Lee, Seoyoung; Choi, Young-Wook; Choi, Young Jin; Kim, Kee Hyun; Seo, Wontaek; et al, MEDICAL PHYSICS, v.50, no.2, pp.791 - 807, 2023-02

2
A novel pre-processing technique for improving image quality in digital breast tomosynthesis

Kim, Hyeongseok; Lee, Taewon; Hong, Joonpyo; Sabir, Sohail; Lee, Jung-Ryun; Choi, Young Wook; Kim, Hak Hee; et al, MEDICAL PHYSICS, v.44, no.2, pp.417 - 425, 2017-02

3
Backprojection Filtration Image Reconstruction Approach for Reducing High-Density Object Artifacts in Digital Breast Tomosynthesis

Kim, Hyeongseok; Lee, Jongha; Soh, Jeongtae; Min, Jonghwan; Choi, Young Wook; Cho, Seungryong, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.38, no.5, pp.1161 - 1171, 2019-05

4
Deep-learning-based projection-domain breast thickness estimation for shape-prior iterative image reconstruction in digital breast tomosynthesis

Lee, Seoyoung; Kim, Hyeongseok; Lee, Hoyeon; Cho, Seungryong, MEDICAL PHYSICS, v.49, no.6, pp.3670 - 3682, 2022-06

5
Fully iterative scatter corrected digital breast tomosynthesis using GPU-based fast Monte Carlo simulation and composition ratio update

Kim, Kyungsang; Lee, Taewon; Seong, Younghun; Lee, Jongha; Jang, Kwang Eun; Choi, Jaegu; Choi, Young Wook; et al, MEDICAL PHYSICS, v.42, no.9, pp.5342 - 5355, 2015-09

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