Prof. Dongheon Lee | Computer Science and Artificial Intelligence | Best Researcher Award
Seoul National University College of Medicine | South Korea
Prof. Dongheon Lee is a researcher in medical image analysis and artificial intelligence, with a strong focus on deep learning–based clinical decision support systems. His work spans medical imaging, computer vision, bio signal analysis, and intelligent healthcare systems, addressing real-world diagnostic and interventional challenges. According to Scopus, he has authored 29 peer-reviewed publications, received 489 citations, and holds an h-index of 11, reflecting consistent scholarly impact. His research outputs appear in high-impact journals such as Radiology, Gastroenterology, Radiology: Artificial Intelligence, IEEE Journal of Biomedical and Health Informatics, and Computers in Biology and Medicine. His work demonstrates translational relevance, integrating methodological innovation with clinical applicability across radiology, endoscopy, and surgical intelligence.
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Featured Publications
Improved accuracy in optical diagnosis of colorectal polyps using convolutional neural networks with visual explanations
– EH Jin, D. Lee, JH Bae, et al. · Gastroenterology, 2020 · Cited by 153
Evaluation of surgical skills during robotic surgery by deep learning-based multiple surgical instrument tracking
– D. Lee, HW Yu, H Kwon, et al. · Journal of Clinical Medicine, 2020 · Cited by 117
CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules
– H Kim, D. Lee, WS Cho, et al. · European Radiology, 2020 · Cited by 60
Deep learning to optimize candidate selection for lung cancer CT screening
– JH Lee, D. Lee, MT Lu, et al. · Radiology, 2022 · Cited by 36
Vision-based tracking system for augmented reality to localize recurrent laryngeal nerve during robotic thyroid surgery
– D. Lee, HW Yu, S Kim, et al. · Scientific Reports, 2020 · Cited by 32
