Computer Graphics & Image Processing Laboratory Computer Graphics & Image Processing Laboratory 320, New Engineering Building 302 School of Computer Science and Engineering, Seoul National University, Seoul, Korea Contact : [email protected] 신영길 교수 Publications Prof. Yeong-Gil Shin (Doctorial Course : 6, Master Course : 4) +82-2-880-1860 [email protected] http://cglab.snu.ac.kr/ Education • Ph.D., Dept of Computer Science, University of Southern California, 1990 • M.S., Dept of Computer Science and Engineering, Seoul National University, 1984 • B.S., Dept of Computer Science and Engineering, Seoul National University, 1981 Experience • Professor, Computer Graphics & Image Processing Laboratory, 1992 ~ now • Chief, Information Systems & Technology, Seoul National University, 2014~2016 • Chief, Dept of Computer Science and Engineering, Seoul National University, 2010~2014 • Chief, Institute of computer technology, Seoul National University, 2007~2013 Award history • Excellent engineering projessor award(Industry-Academic Cooperation Part), Seoul National University, 2019 • The 10 th Best Techonology Award, Grand Prize, , 2011 • Korea Software Awards, Ministry of Information and Communication, Republic of Korea, 2002 • Minyoung Chung, Jingyu Lee, Sanguk Park, Chae Eun Lee, Jeongjin Lee, and Yeong-Gil Shin, “Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention”, Artificial Intelligence in Medicine, vol. 113, Mar, 2021. • Minyoung Chung, Jusang Lee, Sanguk Park, Minkyung Lee, Chae Eun Lee, Jeongjin Lee, and Yeong-Gil Shin, “Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization”, Artificial Intelligence in Medicine, vol. 111, Jan, 2021. • Minyoung Chung, Jingyu Lee, Wisoo Song, Youngchan Song, Il-Hyung Yang, Jeongjin Lee, and Yeong-Gil Shin, “Automatic Registration between Dental Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities”, IEEE Transactions on Medical Imaging, vol. 39, Dec, 2020. • Jiwan Kim, Jeongjin Lee, Minyoung Chung, and Yeong-Gil Shin, “Multiple Weld Seam Extraction from RGB-depth Images for Automatic Welding via Point Cloud Registration”, Multimedia Tools and Applications, Nov, 2020. • Minyoung Chung, Jingyu Lee, Minkyung Lee, Jeongjin Lee, and Yeong-Gil Shin, “Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation”, Computer Methods and Programs in Biomedicine, vol. 192, Aug, 2020. • Minyoung Chung, Minkyung Lee, Jioh Hong, Sanguk Park, Jusang Lee, Jingyu Lee, Il-Hyung Yang, Jeongjin Lee, and Yeong-Gil Shin, “Pose-Aware Instance Segmentation Framework from Cone-Beam CT Images for Tooth Segmentation”, Computers in Biology and Medicine, vol. 120, May, 2020. • Jiseon Kang, Jeongjin Lee, Yeong-Gil Shin, Bohyoung Kim, “Depth-of-Field Rendering Using Progressive Lens Sampling in Direct Volume Rendering”, IEEE Access 8 (2020): 93335-93345 Computer Graphics & Image Processing Laboratory We have been focusing on 3D visualization, reconstruction, and image processing of medical images such as CT, MRI, and PET. Recently, we have also expanded our research to industrial CT- based product inspection and defect detection collaborating with many universities and hospitals. Based on these research results, we have commercialized world- class medical image visualization software through cooperation with Infinite, Inc. In addition, we are expanding our activities in the industrial imaging field by developing software for visualization and defect detection.