Hyun‐Jae Kang
Papers
10
Total Citations
109
H-Index
6
About
Hyun-Jae Kang is a leading researcher in the intersection of medical robotics, ultrasound imaging, and image-guided therapy. His work focuses on restoring haptic feedback in robotic surgery through real-time ultrasound elastography, a technique he advanced using multi-stream GPU acceleration to enable in-vivo tissue stiffness assessment during da Vinci surgical procedures. Kang pioneered the integration of photoacoustic imaging with robotic systems for skull base surgery, developing a laser-mounted drill system to detect critical structures like the carotid artery behind bone—a contribution cited 19 times. His "Active Echo" paradigm (18 citations) introduced a novel ultrasound calibration method using phantom feedback, while his MUSiiC Toolkit (4 citations) provides a bidirectional real-time software framework that has become a foundation for interventional ultrasound research. With over 100 total citations across his portfolio, Kang has also made key contributions to sensorless freehand 3D ultrasound reconstruction and minimally invasive registration for computer-assisted orthopedic surgery. His work on robotically tracked photoacoustic computed tomography demonstrates his commitment to expanding functional imaging capabilities, making him a pivotal figure in advancing surgical precision and safety through multimodal image guidance.
Research Focus
Key Achievements
Top Papers
- 1System for robot-assisted real-time laparoscopic ultrasound elastography33 citations · 2012
- 2Photoacoustic image guidance for robot-assisted skull base surgery19 citations · 2015
- 3Active Echo: A New Paradigm for Ultrasound Calibration18 citations · 2014
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- 7Active point out-of-plane ultrasound calibration4 citations · 2015
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