Laura Connolly
Papers
6
Total Citations
34
H-Index
4
About
Laura Connolly is a leading researcher at the intersection of open-source software and medical robotics, dedicated to making advanced surgical technology more accessible and reproducible. Her primary contributions lie in developing integrated platforms for image-guided robotic interventions, most notably through the creation of SlicerROS2—a pioneering software module that bridges the widely-used medical imaging platform 3D Slicer with the Robot Operating System (ROS2). This work, detailed in her highly cited 2021 and 2022 papers, establishes a standard, open-source framework for cooperative, semi-autonomous robotic surgery. Demonstrating the real-world application of her software, Connolly also designed and validated a lightweight, MR-conditional robot for lumbar spinal injections, a breakthrough for treating lower back pain within the MRI environment. With over 34 combined citations across her key publications, her impact is rapidly growing. Her commitment to open-source solutions, from surgical platforms to navigational toolkits (ENTRI), positions her as a pivotal figure in democratizing the future of precision surgery and robotic research.
Research Focus
Key Achievements
Top Papers
- 1An Open-Source Platform for Cooperative, Semi-Autonomous Robotic Surgery9 citations · 2021
- 2Bridging 3D Slicer and ROS2 for Image-Guided Robotic Interventions8 citations · 2022
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- 4
- 5ENTRI: Enhanced Navigational Toolkit for Robotic Interventions3 citations · 2024
- 6Robotic tissue scanning with biophotonic probe2 citations · 2020