Bernhard Fuerst
Johns Hopkins University, Technical University of Munich, FH Aachen
Papers
10
Total Citations
490
H-Index
7
About
Bernhard Fuerst is a pioneering researcher at the intersection of medical robotics, autonomous imaging systems, and surgical navigation. His work has significantly advanced the field of robotic ultrasound, with a particular focus on enabling autonomous, reproducible, and clinically viable imaging workflows. His most influential contribution, "Towards MRI-Based Autonomous Robotic US Acquisitions" (2016), has garnered over 218 citations and established a foundational framework for MRI-guided robotic ultrasound, integrating structured-light 3D scanning for precise patient-to-robot calibration. Fuerst's broader portfolio further demonstrates his commitment to reducing operator dependency in medical imaging, with notable works on robotic trajectory planning, dual-robot needle placement, and real-time 3D ultrasound visual servoing collectively accumulating hundreds of citations. His innovation extends beyond imaging into intraoperative sensing, exemplified by his development of the first robotic SPECT system for minimally invasive sentinel lymph node mapping. More recently, Fuerst has explored virtual reality as a training tool for surgical robot setup, reflecting his sustained interest in making robotic surgical systems more accessible and effective for clinical practitioners. His multidisciplinary contributions continue to shape the future of intelligent, robot-assisted medical interventions.
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 trajectory planning for volume of interest coverage49 citations · 2016
- 5First Robotic SPECT for Minimally Invasive Sentinel Lymph Node Mapping42 citations · 2015
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- 10On the Effectiveness of Virtual Reality-based Training for Robotic Setup3 citations · 2020