Chieh-Hsiao Chen
Papers
2
Total Citations
16
H-Index
2
About
Chieh-Hsiao Chen is a researcher advancing the frontier of robotic ultrasound systems for precision medicine and minimally invasive surgery. Their primary research areas encompass medical robotics, ultrasound calibration, and surgical navigation. Chen’s major contributions include developing an improved sensing method for a robotic ultrasound system that enables real-time force and angle calibration—a critical advancement for telemedicine and precision diagnostics. This work, published in 2021, has garnered 13 citations, reflecting its growing influence in the field. Additionally, Chen proposed a novel ultrasound calibration technique for dual-armed surgical navigation systems, addressing the challenge of minimizing spatial coordinate discrepancies between instruments during minimally invasive procedures. This 2022 study, though newer, is foundational for enhancing accuracy in complex surgical environments. Chen’s work directly supports the integration of robotic arms with ultrasound imaging, improving safety and precision in clinical applications. Their research is particularly notable for bridging the gap between teleoperated systems and real-time feedback, a key step toward autonomous surgical assistance. For students and researchers, Chen’s contributions offer a compelling example of how engineering innovations can transform patient care through smarter, more responsive robotic tools.
Research Focus
Key Achievements
Top Papers
- 1
- 2Ultrasound Calibration for Dual-Armed Surgical Navigation System3 citations · 2022