Nassir Navab
Technical University of Munich, Johns Hopkins University, University of Maryland, Baltimore, Siemens (United States), X-Fab (Germany), Naval Medical Research Command, Munich University of Applied Sciences, Johns Hopkins Bayview Medical Center, Munich Center for Machine Learning, Klinikum rechts der Isar
Papers
159
Total Citations
5,680
H-Index
37
About
Nassir Navab is a distinguished computer scientist and biomedical engineer whose research spans computer vision, medical robotics, augmented reality, and image-guided interventions. Based at the Technical University of Munich, Navab has made transformative contributions to the intersection of artificial intelligence and clinical medicine, pioneering methods that bring intelligent automation into the operating room and diagnostic suite. Among his most celebrated achievements is his foundational work on model-based detection and pose estimation of texture-less 3D objects in cluttered scenes, which has garnered over 1,190 citations and remains a landmark contribution to computer vision and robotics. His prolific output in robotic ultrasound — spanning autonomous MRI-guided acquisitions, abdominal aortic aneurysm screening, and probe positioning via confidence map optimization — has helped establish this as a vibrant and clinically relevant research frontier, with multiple papers collectively exceeding 500 citations in this domain alone. Navab has also advanced augmented reality in robotic-assisted surgery, contributing influential review work cited over 150 times, and explored microsurgical robotics for delicate procedures such as subretinal injection. His human motion tracking and dense SLAM-integrated recognition research further demonstrates a remarkably broad technical range. Across disciplines, Navab's work consistently bridges algorithmic innovation with real-world clinical impact, making him an essential figure for students pursuing medical robotics or surgical intelligence.
Research Focus
Key Achievements
Top Papers
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- 3Towards MRI-Based Autonomous Robotic US Acquisitions: A First Feasibility Study218 citations · 2016
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- 5A Review of Augmented Reality in Robotic-Assisted Surgery156 citations · 2019
- 6Robotic ultrasound imaging: State-of-the-art and future perspectives153 citations · 2023
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