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Medical Physics|July 4, 2018
Attenuation profile matching: An accurate and scan parameter-robust measurement method for small airway dimensions in low-dose CT scansZepa Yang, Hyeongmin Jin, Jong Hyo Kim
Diagnostics (Basel, Switzerland)|January 28, 2026
Reliability and Agreement of Quantitative Pulmonary Imaging Biomarkers Between Ultra-Low-Dose and Low-Dose Chest CT: A Paired Intra-Individual StudyDa-Kyong Lee, Zepa Yang, Hwan-Seok Yong
Plos One|July 26, 2024
Deep learning-based respiratory muscle segmentation as a potential imaging biomarker for respiratory function assessmentInsung Choi, Juwhan Choi, Hwan Seok Yong, et al.
Plos One|June 23, 2022
Accuracy of two deep learning-based reconstruction methods compared with an adaptive statistical iterative reconstruction method for solid and ground-glass nodule volumetry on low-dose and ultra-low-dose chest computed tomography: A phantom studyCherry Kim, Thomas Kwack, Wooil Kim, et al.
Plos One|September 5, 2023
Deep learning-based pectoralis muscle volume segmentation method from chest computed tomography image using sagittal range detection and axial slice-based segmentationZepa Yang, Insung Choi, Juwhan Choi, et al.
The Journal of International Medical Research|June 23, 2026
TriDermCancerNet: A hybrid deep learning framework for skin cancer classificationBushra Fiaz, Muhammad Attique Khan, Afia Zafar, et al.
Bioengineering (Basel, Switzerland)|June 26, 2026
Explainable Breast Cancer Detection Using Hierarchical Multi-Scale and Edge-Aware Transformer NetworksMaria Altaib Badawi, Ehtisham Arshad, Armughan Ali, et al.
Diagnostics (Basel, Switzerland)|November 27, 2024
Improved Detection Accuracy of Chronic Vertebral Compression Fractures by Integrating Height Loss Ratio and Deep Learning ApproachesJemyoung Lee, Heejun Park, Zepa Yang, et al.
Plos One|September 8, 2025
AI-Driven quality assurance in mammography: Enhancing quality control efficiency through automated phantom image evaluation in South KoreaHoo Yun, Sanghyun Noh, Hyungwook Cho, et al.
Scientific Reports|October 24, 2024
Automated deep learning-based bone mineral density assessment for opportunistic osteoporosis screening using various CT protocols with multi-vendor scannersHeejun Park, Woo Young Kang, Ok Hee Woo, et al.
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