Salvatore Virga
KUKA (Germany), Johns Hopkins University, Technical University of Munich
Papers
10
Total Citations
524
H-Index
8
About
Salvatore Virga is a leading researcher at the intersection of robotics and medical imaging, whose work is redefining autonomous ultrasound-guided interventions. His primary contributions lie in developing robotic systems that enhance the precision, safety, and repeatability of diagnostic and interventional procedures. Virga’s seminal work, "Towards MRI-Based Autonomous Robotic US Acquisitions" (218 citations), established a foundational workflow for integrating MRI data with autonomous robotic ultrasound, enabling more accurate and reproducible acquisitions. He further advanced the field with "Automatic force-compliant robotic ultrasound screening of abdominal aortic aneurysms" (121 citations), a study that directly addresses the critical issue of inter-operator variability in ultrasound screening. His research extends to neurosurgical navigation, endovascular catheter guidance, and acoustic window planning, consistently pushing the boundaries of what is possible with robotic assistance. Notably, Virga has pioneered markerless tracking techniques for 3D ultrasound compounding and interventional applications, reducing reliance on cumbersome external tracking systems. Through his innovative work on force-compliant control and deformation correction, Virga is not only improving clinical outcomes but also paving the way for truly autonomous, safe, and efficient medical robotics.
Research Focus
Key Achievements
Top Papers
- 1Towards MRI-Based Autonomous Robotic US Acquisitions: A First Feasibility Study218 citations · 2016
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- 4Robotic ultrasound-guided facet joint insertion40 citations · 2018
- 5Use the force: deformation correction in robotic 3D ultrasound31 citations · 2018
- 6Robotic Ultrasound for Catheter Navigation in Endovascular Procedures28 citations · 2019
- 7Acoustic window planning for ultrasound acquisition23 citations · 2017
- 8Markerless Inside-Out Tracking for 3D Ultrasound Compounding17 citations · 2018
- 9Markerless Inside-Out Tracking for Interventional Applications2 citations · 2018
- 10Incremental Adversarial Learning for Optimal Path Planning2 citations · 2018