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Gregory D. Hager is the Mandell Bellmore Professor of Computer Science at Johns Hopkins University and holds joint appointments in the Department of Electrical and Computer Engineering and the Department of Mechanical Engineering. Hager is known for his research on collaborative and vision-based robotics, time-series analysis of image data, and medical applications of image analysis and robotics. He has published more than 300 articles and books on these topics. Hager is the founding director of the Johns Hopkins Malone Center for Engineering in Healthcare, an interdisciplinary research center aimed at developing innovative healthcare technology and systems.
Hager’s many contributions to the field of vision-based robotics have earned him status as an IEEE Fellow. Additionally, he has been named a Fellow of the MICCAI Society, the Association of Computing Machinery (ACM), the American Institute for Medical and Biological Engineering (AIMBE), and the American Association for the Advancement of Science (AAAS).
Hager’s many contributions to the field of vision-based robotics have earned him status as an IEEE Fellow. Additionally, he has been named a Fellow of the MICCAI Society, the Association of Computing Machinery (ACM), the American Institute for Medical and Biological Engineering (AIMBE), and the American Association for the Advancement of Science (AAAS).
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论文共 20 篇作者统计合作学者相似作者
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Jan Emily Mangulabnan, Roger D. Soberanis-Mukul, Timo Teufel,Manish Sahu, Jose L. Porras,S. Swaroop Vedula,Masaru Ishii,Gregory Hager,Russell H. Taylor,Mathias Unberath
CoRR (2024)
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arxiv(2023)
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCEno. 8 (2023)
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Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XVI (2018): 263-281
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2018): 6086-6092
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (2017): 847-850
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2016): 3778-3785
International Journal of Computer Assisted Radiology and Surgeryno. 6 (2015): 981-991
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