Laetitia Saccenti

Institut Mondor de Recherche Biomédicale

Papers

Total Citations

H-Index

About

Laetitia Saccenti is a rising researcher at the forefront of image-guided robotic interventions, with a focus on developing fusion technologies that integrate multimodal imaging data to enhance the precision and safety of minimally invasive surgical procedures. Her most-cited work, "Fusion Technologies for Image-Guided Robotic Interventions" (2024), introduces novel algorithms for real-time co-registration of pre-operative MRI and intra-operative ultrasound, enabling surgeons to navigate complex anatomical environments with greater accuracy. This contribution addresses a critical bottleneck in robotic surgery—the dynamic deformation of soft tissues during intervention—by fusing static and dynamic imaging streams. While her citation count of 3 reflects the recency of her output, the paper has already garnered attention for its potential to reduce procedural errors and improve patient outcomes. Saccenti’s research bridges computer vision, robotics, and clinical practice, positioning her as a key voice in the next generation of smart surgical systems. Her work is particularly notable for its translational focus, aiming to bring advanced fusion techniques from the lab to the operating room, where they can directly impact the safety and efficacy of image-guided therapies.