Michael Unger
Papers
3
Total Citations
28
H-Index
3
About
Michael Unger is a leading researcher in medical robotics, with a focus on developing collaborative robotic systems for minimally invasive interventions. His work centers on three key areas: robot-assisted ultrasound guidance, natural user interfaces for clinical robots, and autonomous tracking for therapeutic procedures. Unger’s most cited paper (2022, 12 citations) presents the design and validation of a dual-robot system for ultrasound-guided needle insertions, addressing a critical need in cancer biopsy by improving precision and reducing procedural stress. His 2020 study (10 citations) advances high-intensity focused ultrasound therapy by enabling robot-assisted tracking of anatomical structures, a breakthrough for treating uterine fibroids and prostate cancer non-invasively. Additionally, his 2018 work (6 citations) explores natural user interactions to enhance clinical adoption of collaborative robotics. Collectively, Unger’s contributions bridge the gap between robotic precision and clinical usability, with his systems demonstrating tangible improvements in targeting accuracy and workflow efficiency. His research is particularly notable for prioritizing physician and patient experience, aiming to make robotic assistance intuitive and accessible in routine medical practice.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Assessment of Natural User Interactions for Robot-Assisted Interventions6 citations · 2018