Gyu-Min Kim
Papers
1
Total Citations
26
H-Index
1
About
Dr. Gyu-Min Kim is a leading researcher in medical computer vision, with a primary focus on developing intelligent systems for endoscopic and colonoscopic analysis. His most impactful work, "Unsupervised Monocular Depth Estimation for Colonoscope System Using Feedback Network" (2021, 26 citations), addresses a critical challenge in colorectal cancer screening: the variability in polyp detection rates. By pioneering an unsupervised depth estimation framework using a feedback network, Dr. Kim enables colonoscopes to perceive three-dimensional spatial information from standard two-dimensional video feeds—without requiring costly labeled depth data. This innovation directly improves the consistency and accuracy of polyp and adenoma identification during procedures, potentially reducing missed lesions that lead to colorectal cancer. His contributions sit at the intersection of deep learning, medical imaging, and surgical robotics, offering practical solutions for real-time clinical decision support. Dr. Kim’s work is notable for its translational impact, bridging state-of-the-art computer vision with tangible improvements in diagnostic outcomes. As the field moves toward autonomous and assistive endoscopy, his research remains foundational for safer, more reliable gastrointestinal examinations.
Research Focus
Key Achievements
Top Papers
- 1