Laura Connolly

Queen's University, Johns Hopkins University

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

4
H-Index
6
Papers
34
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
An Open-Source Platform for Cooperative, Semi-Autonomous Robotic Surgery
9 citations · 2021
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: Queen's University, Johns Hopkins University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago