Louise Deboeuf
Papers
2
Total Citations
25
H-Index
2
About
Louise Deboeuf is a leading researcher in the field of stereotactic neurosurgery, with a focused expertise in the safety and precision of robot-assisted brain biopsy techniques. Her work critically advances the transition from traditional frame-based methods to modern, frameless robotic systems, addressing key challenges in accuracy and patient outcomes. In her highly cited 2022 study, Deboeuf demonstrated the feasibility and high accuracy of a novel frameless registration tool combined with 3D intraoperative imaging for robot-assisted biopsies, establishing a new benchmark for minimally invasive tissue sampling. Building on this, her 2024 bicentric comparative study provided robust evidence on the safety and efficacy of frameless robotic biopsies versus conventional image-guided approaches, directly informing clinical best practices. With her publications garnering over 25 citations, Deboeuf’s contributions are pivotal for neurosurgeons seeking to optimize diagnostic yield while minimizing procedural risks. Her work not only validates emerging technologies but also sets the stage for wider adoption of robotic assistance in neurosurgical oncology.
Research Focus
Key Achievements
Top Papers
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