TMAA-net: Tensor-domain Multi-planal Anti-Aliasing network for Sparse-view CT Image Reconstruction
Published in Physics in Medicine & Biology , 2024
Sungho Yun, Seoyoung Lee, Da-in Choi, Taewon Lee and Seungryong Cho
Publications
You can also find my articles on my Google Scholar profile.
Journal Articles
Optimizing angular range in digital breast tomosynthesis: A phantom study investigating lesion detection across varied breast density and thickness
Published in Physica Medica, 2024
Hee Jeong Kim, Hak Hee Kim, Hye Joung Eom, Woo Jung Choi, Eun Young Chae, Hee Jung Shin, Joo Hee Cha, Young Wook Choi, Young Jin Choi, Kee Hyun Kim, Joongkee Min, Woo Hyun Shim, Seoyoung Lee, Seungryong Cho
Homogenization of multi-institutional chest x-ray images in various data transformation schemes
Published in JOURNAL OF MEDICAL IMAGING, 2023
Hyeongseok Kim*, Seoyoung Lee*, Woo Jung Shim, Min-Seong Choi, Seungryong Cho
A feasibility study on deep-neural-network-based dose-neutral dual-energy digital breast tomosynthesis
Published in MEDICAL PHYSICS, 2023
Hyeongseok Kim*, Hoyeon Lee*, Seoyoung Lee, Young-Wook Choi, Young Jin Choi, Kee Hyun Kim, Wontaek Seo, Choul Woo Shin, Seungryong Cho
Deep-learning-based projection-domain breast thickness estimation for shape-prior iterative image reconstruction in digital breast tomosynthesis
Published in MEDICAL PHYSICS, 2022
Seoyoung Lee, Hyeongseok Kim, Hoyeon Lee, Seungryong Cho
Three-compartment-breast (3CB) prior-guided diffuse optical tomography based on dual-energy digital breast tomosynthesis (DBT)
Published in BIOMEDICAL OPTICS EXPRESS, 2021
Sungho Yun, Yejin Kim, Hyeongseok Kim, Seoyoung Lee, Uijin Jeong, Hoyeon Lee, Young-wook Choi, and Seungryong Cho
A novel low-dose dual-energy imaging method for a fast-rotating gantry-type CT scanner
Published in IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021
Sanghoon Cho, Seoyoung Lee, Jongha Lee, Donghyeon Lee, Hyoyi Kim, Jong-Hyun Ryu, Kilhwan Jeong, Kyu-Gyum Kim, Kwon-Ha Yoon, and Seungryong Cho
Conference Proceedings
Evaluation of deep learning-based scatter correction in x-ray breast imaging: across image domains and downsampling ratios
Published in SPIE 2025 Medical Imaging, 2025
Seoyoung Lee, Subong Hyun, Seungryong Cho
A diffusion-model-based dual-domain approach for CT metal artifact reduction
Published in SPIE 2025 Medical Imaging, 2025
Subong Hyun, Da-in Choi, Sungho Yun, Seoyoung Lee, Seungryong Cho
Asymmetric scatter kernel superposition-inspired deep learning approach to estimate scatter in breast tomosynthesis
Published in 17th International Workshop on Breast Imaging (IWBI 2024), 2024
Subong Hyun, Seoyoung Lee, Uijin Jeong, Seungryong Cho
A YOLO-based learning lesion classifier of pre-exposure scan in digital breast tomosynthesis
Published in 17th International Workshop on Breast Imaging (IWBI 2024), 2024
Seoyoung Lee, Subong Hyun, Donghyun Kim, Seungryong Cho
Predict Risk of Stereotactic Body Radiotherapy Induced Vertebral Compression Fracture Using Multi-Modal Deep Learning Network
Published in SPIE 2024 Medical Imaging, 2024
Seoyoung Lee, Hyoyi Kim, Haeyoung Kim, Seungryong Cho
A feasibility study of dual-energy digital breast tomosynthesis for three-compartment-breast imaging
Published in SPIE 2022 Medical Imaging, 2022
Hyeongseok Kim, Hoyeon Lee, Seoyoung Lee, Young-Wook Choi, Young Jin Choi, Kee Hyun Kim, Wontaek Seo, Choul Woo Shin, Seungryong Cho
Convolutional-neural-network based breast thickness correction in digital breast tomosynthesis
Published in 15th International Workshop on Breast Imaging (IWBI2020), 2020
Seoyoung Lee, Hyeongseok Kim, Hoyeon Lee, Uijin Jeong, Seungryong Cho