| 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 | Breast mass detection in 3D reconstructed volume of digital breast tomosynthesis = 디지털 토모신세시스의 3차원 재구성 영상에서 유방암 병변 검출에 관한 연구link Kim, Seong-Tae; 김성태; et al, 한국과학기술원, 2014 |
| 5 | Breast mass detection using slice conspicuity in 3D reconstructed digital breast volumes Kim, Seong Tae; Kim, Dae Hoe; Ro, YongMan, PHYSICS IN MEDICINE AND BIOLOGY, v.59, no.17, pp.5003 - 5023, 2014-09 |
| 6 | 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 |
| 7 | 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 |
| 8 | Improvement of clustered microcalcifications detection by using combination of reconstructed volume and projection views in digital breast tomosynthesis = 디지털 토모신세시스에서 재구성 영상과 투영 영상의 조합을 이용한 개선된 유방암 병변 검출에 관한 연구link Kim, Eun-Joon; 김은준; et al, 한국과학기술원, 2014 |
| 9 | Improving mass detection using combined feature representations from projection views and reconstructed volume of DBT and boosting based classification with feature selection Kim, Dae Hoe; Kim, Seong Tae; Ro, Yong Man, PHYSICS IN MEDICINE AND BIOLOGY, v.60, no.22, pp.8809 - 8832, 2015-11 |
| 10 | Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesis Kim, Dae Hoe; Kim, Seong Tae; Chang, Jung Min; Ro, Yong Man, PHYSICS IN MEDICINE AND BIOLOGY, v.62, no.3, pp.1009 - 1031, 2017-02 |
