Papers
6
Total Citations
105
H-Index
5
About
Daniel von Allmen is a biomedical engineer and robotics researcher whose work sits at the intersection of medical imaging, surgical robotics, and autonomous systems. His research has focused primarily on harnessing real-time three-dimensional (RT3D) ultrasound to guide robotic surgical interventions, with a particular emphasis on autonomous breast biopsy and laparoscopic procedures. His most influential contribution, "Three-Dimensional Ultrasound Guidance of Autonomous Robotic Breast Biopsy: Feasibility Study" (2009), has garnered 45 citations and demonstrated that robotic systems could independently locate and target tissue lesions without direct human control — a landmark step toward fully autonomous surgical robotics. Building on this foundation, his 2006 feasibility study on 3D ultrasound-guided surgical robots (28 citations) established early groundwork for integrating volumetric imaging into minimally invasive procedures. Across his body of work, von Allmen has advanced image segmentation algorithms, multi-core biopsy automation, and even shrapnel detection using robotic guidance. His research collectively represents a pioneering effort to reduce physician workload, improve targeting precision to within 2mm accuracy, and expand the clinical utility of autonomous robotic systems in complex medical environments.
Research Focus
Key Achievements
Top Papers
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- 23-D ultrasound guidance of surgical robotics: a feasibility study28 citations · 2006
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