| A novel low-dose dual-energy imaging method for a fast-rotating gantry-type CT scanner S Cho, S Lee, J Lee, D Lee, H Kim, JH Ryu, K Jeong, KG Kim, KH Yoon, ... IEEE Transactions on Medical Imaging 40 (3), 1007-1020, 2020 | 15 | 2020 |
| Three-compartment-breast (3CB) prior-guided diffuse optical tomography based on dual-energy digital breast tomosynthesis (DBT) S Yun, Y Kim, H Kim, S Lee, U Jeong, H Lee, Y Choi, S Cho Biomedical Optics Express 12 (8), 4837-4851, 2021 | 9 | 2021 |
| Deep‐learning‐based projection‐domain breast thickness estimation for shape‐prior iterative image reconstruction in digital breast tomosynthesis S Lee, H Kim, H Lee, S Cho Medical Physics 49 (6), 3670-3682, 2022 | 3 | 2022 |
| A feasibility study of dual-energy digital breast tomosynthesis for three-compartment-breast imaging H Kim, H Lee, S Lee, YW Choi, YJ Choi, KH Kim, W Seo, CW Shin, S Cho Medical Imaging 2022: Physics of Medical Imaging 12031, 8-12, 2022 | 2 | 2022 |
| Convolutional-neural-network based breast thickness correction in digital breast tomosynthesis S Lee, H Kim, H Lee, U Jeong, S Cho 15th International Workshop on Breast Imaging (IWBI2020) 11513, 367-373, 2020 | 2 | 2020 |
| Homogenization of multi-institutional chest x-ray images in various data transformation schemes H Kim, S Lee, WJ Shim, MS Choi, S Cho Journal of Medical Imaging 10 (6), 061103-061103, 2023 | 1 | 2023 |
| A feasibility study on deep‐neural‐network‐based dose‐neutral dual‐energy digital breast tomosynthesis H Kim, H Lee, S Lee, YW Choi, YJ Choi, KH Kim, W Seo, CW Shin, S Cho Medical Physics 50 (2), 791-807, 2023 | 1 | 2023 |
| Asymmetric scatter kernel superposition-inspired deep learning approach to estimate scatter in breast tomosynthesis S Hyun, S Lee, U Jeong, S Cho 17th International Workshop on Breast Imaging (IWBI 2024) 13174, 270-276, 2024 | | 2024 |
| A YOLO-based learning lesion classifier of pre-exposure scan in digital breast tomosynthesis S Lee, S Hyun, D Kim, S Cho 17th International Workshop on Breast Imaging (IWBI 2024) 13174, 65-70, 2024 | | 2024 |
| Model observer analysis for suggestion of angular range in digital breast tomosynthesis based on patient breast type S Lee, S Hyun, D Kim, S Cho International Forum on Medical Imaging in Asia 2023, 2023 | | 2023 |
| Enhancing of Scout Scan Using Diffusion Denoising in Digital Breast Tomosynthesis S Lee, S Hyun, S Cho AAPM 2023 (65rd Annual Meeting & Exhibition), 2023 | | 2023 |
| Statistical evaluation of the computational reader in multi-angle digital breast tomosynthesis system for parameter suggestion 이서영， 현수봉， 조승룡 2022 년 제 64 회 한국의학물리학회 추계학술대회, 2022 | | 2022 |
| Breast thickness map estimation and its associated correction in DBT imaging S Lee, H Kim, H Lee, S Cho AAPM 2021 (63rd Annual Meeting & Exhibition), 2021 | | 2021 |
| 디지털 유방 단층촬영에서의 지도학습 기반 산란 저감 방법 연구 정의진， 김형석， 이서영， 조승룡 2021 년도 (사) 한국의학물리학회 제 61 회 춘계학술대회, 2021 | | 2021 |
| Multi-frequency-based CXR data normalization for deep-neural-network classifier H Kim, S Lee, W Sim, D Cho, S Cho AAPM 2021 (63rd Annual Meeting & Exhibition), 2021 | | 2021 |
| Breast shape reconstruction during digital breast tomosynthesis based on discrete algebraic reconstruction technique 이서영， 김형석， 조승룡 2020 년도 (사) 한국의학물리학회 제 60 회 추계학술대회, 2020 | | 2020 |
| Neutral dose dual-energy digital breast tomosynthesis using deep-neural-network H Lee, H Kim, S Lee, Y Choi, KH Kim, YW Choi, S Cho 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020 | | 2020 |
| Structural prior guided optical tomography using compositional material volumes from dual-energy DBT via the MC simulation. S Yun, Y Kim, H Kim, S Lee, H Lee, S Cho 2020 Joint AAPM| COMP Virtual Meeting, 2020 | | 2020 |
| Many-view under sampling reconstruction in low-dose helical CT S Cho, S Lim, S Lee, K Kim, J Yoo, K Jeong, S Cho IWAIT-IFMIA 2019, 2019 | | 2019 |
| Beam-filter-based dual-energy CT imaging by use of sinogram streaking S Cho, S Lee, J Lee, S Cho IEEE Nuclear Science Symposium and Medical Imaging Conference, 2019 | | 2019 |
seungryong choProfessor of Nuclear and Quantum Engineering, KAIST在 kaist.ac.kr 的电子邮件经过验证
seungryong choProfessor of Nuclear and Quantum Engineering, KAIST在 kaist.ac.kr 的电子邮件经过验证
Hyeongseok KimPh.D. Candidate. Harvard-MIT Health Sciences and Technology在 mit.edu 的电子邮件经过验证