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

8
H-Index
10
Papers
524
Total Citations
52
Avg Citations/Paper
🏆 Most Cited Paper
Towards MRI-Based Autonomous Robotic US Acquisitions: A First Feasibility Study
218 citations · 2016
📈 Most Prolific Year: 2018 (5 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: KUKA (Germany), Johns Hopkins University, Technical University of Munich

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago