Stephan Strassle Rojas

Papers

Total Citations

H-Index

About

Stephan Strassle Rojas is a biomedical engineer whose research focuses on advancing minimally invasive interventions for peripheral artery disease, particularly through the integration of robotics, ultrasound imaging, and machine learning. His most cited work, "Supervised segmentation for guiding peripheral revascularization with forward‐viewing, robotically steered ultrasound guidewire" (2023), addresses a critical clinical challenge: the 25% failure rate in treating chronic total occlusions during peripheral revascularization. By developing a supervised segmentation algorithm that enhances the guidance of a robotically steered ultrasound guidewire, Strassle Rojas enables more precise navigation through occluded arteries, potentially reducing amputation rates for the 500,000 U.S. patients presenting with critical limb ischemia annually. This work exemplifies his broader contributions to image-guided robotic systems and computer-assisted intervention, where he combines deep learning with real-time imaging to improve procedural outcomes. With 5 citations to date, his research is gaining traction among clinicians and engineers seeking to translate robotic technologies into practical, life-saving tools. Strassle Rojas’s innovative approach positions him as a rising contributor to the intersection of robotics, medical imaging, and vascular surgery.