| Evaluation of gold K-edge imaging using spectral computed tomography with a photon-counting detector: A Monte Carlo simulation study S Kang, J Eom, B Kim, S Lee Optik 140, 253-260, 2017 | 9 | 2017 |
| Limited-angle CT reconstruction via data-driven deep neural network D Yim, B Kim, S Lee Medical Imaging 2021: Physics of Medical Imaging 11595, 744-749, 2021 | 5 | 2021 |
| Evaluation of material decomposition for pulmonary function test in spectral computed tomography: A Monte Carlo simulation study J Eom, B Kim, W Kim, S Lee Optik 174, 409-415, 2018 | 4 | 2018 |
| Evaluation of respiratory-correlated 4D digital tomosynthesis imaging technique for image-guided radiation therapy B Kim, S Kang, J Eom, S Lee Optik 171, 247-252, 2018 | 4 | 2018 |
| Development of a truncation artifact reduction method in stationary inverse-geometry X-ray laminography for non-destructive testing B Kim, D Yim, S Lee Nuclear Engineering and Technology 53 (5), 1626-1633, 2021 | 3 | 2021 |
| Deep learning-assisted quantitative measurement of thoracolumbar fracture features on lateral radiographs WT Yuh, EK Khil, YS Yoon, B Kim, H Yoon, J Lim, KY Lee, YS Yoo, KD An Neurospine 21 (1), 30, 2024 | 2 | 2024 |
| A feasibility study on the improvement of diagnostic accuracy for energy-selective digital mammography using machine learning J Eom, S Lee, B Kim Journal of radiological science and technology 42 (1), 9-17, 2019 | 2 | 2019 |
| Development of virtual monochromatic imaging technique with spectral CT based on a photon-counting detector S Lee, S Kang, J Eom, B Kim, D Lee, CL Lee, J Jung, W Jang, Y Choi Medical Imaging 2018: Physics of Medical Imaging 10573, 1303-1307, 2018 | 2 | 2018 |
| Image Quality Evaluation in Computed Tomography Using Super-resolution Convolutional Neural Network K Nam, J Cho, S Lee, B Kim, D Yim, D Lee Journal of the Korean Society of Radiology 14 (3), 211-219, 2020 | 1 | 2020 |
| Reduction of truncation artifact in stationary inverse-geometry digital tomosynthesis using convolutional neural network B Kim, D Yim, S Lee Medical Imaging 2020: Physics of Medical Imaging 11312, 1111-1116, 2020 | 1 | 2020 |
| Simultaneous denoising and spatial resolution enhancement using convolutional neural network-based linear model in diagnostic CT images D Yim, B Kim, S Lee Medical Imaging 2020: Physics of Medical Imaging 11312, 1031-1036, 2020 | 1 | 2020 |
| Effect of geometric variations on image characteristics in digital tomosynthesis S Lee, B Kim, D Yim, Y Lee Medical Imaging 2020: Physics of Medical Imaging 11312, 557-562, 2020 | 1 | 2020 |
| Analysis of Image Quality According to Imaging Parameters in Digital Tomosynthesis D Lee, S Lee, B Kim, D Yim, K Nam, J Cho Journal of the Korean Society of Radiology 14 (4), 477-486, 2020 | 1 | 2020 |
| Preliminary study on optimization of the stationary inverse-geometry digital tomosynthesis: x-ray source array B Kim, J Eom, W Kim, S Lee Medical Imaging 2019: Physics of Medical Imaging 10948, 1252-1257, 2019 | 1 | 2019 |
| Super-resolution Convolutional Neural Network 를 이용한 전산화단층상의 화질 평가 남기복， 조정효， 이승완， 김번영， 임도빈， 이다혜 한국방사선학회 논문지 14 (3), 211-220, 2020 | | 2020 |
| Preliminary evaluation of stationary inverse-geometry digital tomosynthesis system for diagnostic applications: A simulation study B Kim, S Lee Optik 202, 163648, 2020 | | 2020 |
| 디지털 단층영상합성장치의 영상획득 조건에 따른 화질 분석 이다혜， 이승완， 김번영， 임도빈， 남기복， 조정효 한국방사선학회논문지 14 (4), 477-486, 2020 | | 2020 |
| 3D Fusion Imaging based on Spectral Computed Tomography Using K-edge Images 김번영， 이승완， 임도빈 한국방사선학회 논문지 13 (4), 523-530, 2019 | | 2019 |
| Improvement of material decomposition accuracy using denoising and deblurring techniques in spectral mammography J Eom, B Kim, W Kim, Y Lee, S Lee Medical Imaging 2019: Physics of Medical Imaging 10948, 1303-1308, 2019 | | 2019 |
| 머신러닝을 이용한 에너지 선택적 유방촬영의 진단 정확도 향상에 관한 연구 엄지수， 이승완， 김번영 방사선기술과학 42 (1), 9-17, 2019 | | 2019 |
