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Showing results 1 to 16 of 16

1
A feasibility study of dual-energy digital breast tomosynthesis for three-compartment-breast imaging

Kim, Hyeongseok; Lee, Hoyeon; Lee, Seoyoung; Choi, Young-Wook; Choi, Young Jin; Kim, Kee Hyun; Seo, Wontaek; et al, Medical Imaging 2022: Physics of Medical Imaging, SPIE, 2022-03

2
Applying image registration techniques to construct 3D object from topologic images

Lee, Hoyeon; Shin, S; Cho, Seungryong, International Meeting on AFM in Life Sciences and Medicine, AFM BioMed, 2014-12-14

3
Breast thickness map estimation and its associated correction in DBT imaging

Lee, Seoyoung; Kim, Hyeongseok; Lee, Hoyeon; Cho, Seungryong, AAPM 2021 (63rd Annual Meeting & Exhibition), American Association of Physicists in Medicine, 2021-07-25

4
Comparison study of 2D/3D-Synthetic Dictionary Based Reconstruction for Low-dose X-ray CT

Kim, Hyeongseok; Lee, Hoyeon; Cho, Seungryong, Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2017(Fully 3D 2017), Fully 3D, 2017-06-21

5
Convolutional-neural-network based breast thickness correction in digital breast tomosynthesis

Lee, Seoyoung; Kim, Hyeongseok; Lee, Hoyeon; Jeong, Uijin; Cho, Seungryong, 15th International Workshop on Breast Imaging, IWBI 2020, SPIE, 2020-05-26

6
Dose reduction strategy using attenuation-based tube current modulation method in CBCT for IGRT

Son, Kihong; Kim, Changhwan; Lee, Hoyeon; Kim, Jinsung; Cho, Seungryong, 58th Annual Meeting & Exhibition, pp.3414 - 3415, American Association of Physicists in Medicine, 2016-07-31

7
Feasibility study on many-view under-sampling(MVUS) using spiral beam filter

WI, SUNHEE; Lee, Hoyeon; Cho, Seungryong, 4th International Conference on Image Formation in X-Ray Computed Tomography, CT-meeting, 2016-07-19

8
Improving On-BeamCT Reconstruction From Transit Imaging of Treatment Beams Via MV-To-KV HUcalibration for Dose Verification

Lee, Hoyeon; Cheong, Kwangho; Jung, Jaewon; Yeo, Inhwan; Cho, Seungryong, AAPM 2017 (59th Annual Meeting & Exhibition), AAPM`, 2017-07-30

9
Neutral dose dual-energy digital breast tomosynthesis using deep-neural-network

Lee, Hoyeon; Kim, Hyeongseok; Lee, Seoyoung; Choi, Youngjin; Kim, Kee Hyun; Choi, Young Wook; Cho, Seungryong, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), IEEE Engineering in Medicine and Biology Society, 2020-04-04

10
On-treatment image reconstruction using transit images of treatment beams through patient and those through planning CT images

Lee, Hoyeon; Cheong, Kwangho; Jung, Jaewon; Jung, Sanghoon; Kim, Jinsung; Yeo, Inhwan; Cho, Seungryong, 58th Annual Meeting & Exhibition, American Association of Physicists in Medicine, 2016-07-31

11
Panoramic Dental Tomosynthesis Auto-focusing using Convolutional Neural Network (CNN) Method

Kwon, Taejin; Lee, Hoyeon; Lee, Taewon; Kim, Changhwan; Kim, Yunhee; Cho, Seungryong, International Forum On Medical Imaging In Asia 2017, IFMIA, 2017-01-20

12
Physics on beam-blocker-based scatter estimation and correction

Lee, Hoyeon; Pua,Rizza; Min, Jonghwan; Cho, Seungryong, Joint conference of IWAIT and IFMIA, IWAIT and IFMIA, 2015-01-11

13
Reconstructing interior transmission tomographic images with an offset-detector using a deep-neural-network

Lee, Hoyeon; Kim, Hyeongseok; Cho, Seungryong, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D 2019, SPIE, 2019-06-05

14
Scatter correction in CBCT with an offset detector through a deconvolution method using data consistency

Kim, Changhwan; Cho, Seungryong; Park, Miran; Lee, Hoyeon, SPIE Medical Imaging 2016, Intenational society for optics and photonics, 2016-02-29

15
Structural prior guided optical tomography using compositional material volumes from dual-energy DBT via the MC simulation.

Yun, Sungho; Kim, Yejin; Kim, Hyeongseok; Lee, Seoyoung; Lee, Hoyeon; Cho, Seungryong, 2020 Joint AAPM | COMP Virtual Meeting, American Association of Physicist in Medicine, 2020-07-12

16
View-interpolation of sparsely sampled sinogram using convolutional neural network

Lee, Hoyeon; Lee, Jongha; Cho, Seungryong, Medical Imaging 2017: Image Processing, SPIE, 2017-02-13

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