Samuel Lafreniere

University of Hawaiʻi at Mānoa

Papers

4

Total Citations

23

H-Index

2

About

Samuel Lafreniere is an emerging researcher specializing in medical robotics, with a particular focus on minimally invasive surgical tools and image-guided intervention systems for prostate cancer diagnosis. His work sits at the intersection of robotic design, control systems, and clinical application, addressing real-world challenges in targeted prostate biopsy procedures. Lafreniere's most significant contributions center on the development of bidirectional robotic tools for targeted prostate biopsy, introducing novel compliant flexure-based designs that enable precise needle manipulation in delicate anatomical environments. His 2022 paper, which has garnered 11 citations, laid foundational groundwork for operator-controlled robotic biopsy systems, while his 2023 follow-up expanded these capabilities to include teleoperated and automated control, accumulating 8 citations. More recently, his research has pushed into MRI-conditional robotics, developing systems that leverage MRI's superior imaging feedback to guide needle-based interventions with greater accuracy — a technically demanding frontier given the strict electromagnetic compatibility requirements of MRI environments. Collectively, Lafreniere's research addresses critical gaps in prostate cancer detection technology, aiming to improve diagnostic accuracy while reducing unnecessary biopsies. His growing citation record reflects meaningful early-career impact in a field where precision engineering directly translates to improved patient outcomes.

Research Focus

Key Achievements

2
H-Index
4
Papers
23
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and Operator Control of a Robotic Tool for Bidirectional Manipulation in Targeted Prostate Biopsy
11 citations · 2022
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Hawaiʻi at Mānoa

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago