Papers
31
Total Citations
534
H-Index
13
About
Ross Crawford is a prominent researcher at the intersection of medical robotics, minimally invasive surgery, and surgical imaging. His work centers on advancing robotic-assisted orthopaedic procedures—particularly knee arthroscopy—through innovations in continuum robot design, computer vision, and ultrasound guidance. Crawford's most cited contribution (74 citations) rigorously analyzes the dexterity of six-degree-of-freedom continuum robots that combine concentric tube and cable-driven mechanisms, providing a foundational framework for surgical robot design. His highly cited work on ultrasound guidance in robotic procedures (69 citations) has helped establish imaging-driven approaches as a cornerstone of modern minimally invasive interventions. Crawford has also made significant strides in deep learning applications for surgical scenes, developing automatic segmentation systems for knee arthroscopy structures and Bayesian neural networks for ultrasound image uncertainty estimation. His survey of orthopaedic surgeon attitudes toward robotic technology (47 citations) bridges clinical reality and engineering ambition, shaping future adoption strategies. Collectively, Crawford's portfolio—spanning robot kinematics, illumination control, and AI-driven visualization—demonstrates a rare ability to translate fundamental engineering research into clinically meaningful solutions, accumulating over 380 citations across a decade of impactful scholarship.
Research Focus
Key Achievements
Top Papers
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- 2Ultrasound guidance in minimally invasive robotic procedures69 citations · 2019
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- 7Robotic and Image-Guided Knee Arthroscopy27 citations · 2019
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- 9Kinematic Model of the Human Leg Using DH Parameters17 citations · 2020
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