GD Hager
Papers
1
Total Citations
3
H-Index
1
About
Gregory D. Hager is a pioneering researcher in computer vision, robotics, and medical image computing, whose work bridges the gap between algorithmic theory and real-world clinical applications. As a professor at Johns Hopkins University, he has made foundational contributions to vision-based robotic control, particularly in the context of minimally invasive surgery, where his systems enable precise, autonomous assistance during complex procedures. Hager’s research on real-time tracking, 3D reconstruction, and human-robot interaction has been widely cited, with his most influential papers—such as those on vision-guided surgical robots and deformable tissue modeling—accumulating thousands of citations. Beyond his technical innovations, he has led major initiatives like the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology (CISST), fostering interdisciplinary collaboration. Notably, his 2015 randomized trial on warm-up exercises for robotic hysterectomy, though modestly cited, exemplifies his commitment to rigorous evaluation of surgical training methods. Hager’s work has earned him accolades including the IEEE Robotics and Automation Society Distinguished Service Award, and his mentorship has shaped a generation of researchers in medical robotics.
Research Focus
Key Achievements
Top Papers
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