Masoud Razban
Papers
3
Total Citations
53
H-Index
3
About
Masoud Razban is a leading researcher in the field of medical robotics and interventional technologies, with a primary focus on enhancing the safety and efficacy of endovascular and cardiac procedures. His work centers on the critical challenge of sensing tool-tissue interactions, particularly the measurement of contact forces during catheter navigation and the characterization of myocardial tissue properties. Razban’s most significant contribution is the development of a sensor-less contact force estimation approach for endovascular interventions, which has garnered 31 citations. This method aims to reduce risks like vessel wall injury and embolization by providing real-time force feedback without the need for additional sensors. He has also pioneered a novel sensing principle for the real-time characterization of viscoelasticity in beating myocardial tissue (19 citations), a breakthrough for improving outcomes in cardiac surgery. Additionally, his work on image-based intraluminal contact force monitoring in robotic vascular navigation (3 citations) addresses the critical need for safer tool manipulation within arteries. Through these innovations, Razban is advancing the frontier of haptic feedback in minimally invasive surgery, directly contributing to reduced procedural complications and improved patient safety.
Research Focus
Key Achievements
Top Papers
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