Papers

2

Total Citations

12

H-Index

2

About

Dr. Paul Baksic is a leading researcher in the field of medical robotics and computational biomechanics, with a primary focus on developing advanced simulation and control techniques for needle-based interventions. His work addresses the critical challenge of robotic needle insertion into moving and deformable soft tissues, a fundamental problem in procedures such as biopsy and brachytherapy. Dr. Baksic’s major contribution is the introduction of a constraint-based inverse Finite Element (FE) simulation framework, which enables a robot to autonomously steer a flexible needle along a predefined path within a dynamic environment. This innovative approach, detailed in his most-cited 2020 paper (10 citations), effectively links the robot’s control inputs to the complex mechanical behavior of the tissue, allowing for precise trajectory following despite organ motion and deformation. He has further advanced the field by developing an interactive FE model of needle insertion that incorporates tissue laceration (2021, 2 citations), using complementary constraints to couple the needle and tissue models and generating cutting paths from mechanical criteria. This work provides a more realistic simulation of the insertion process, accounting for tissue damage. Dr. Baksic’s research is pivotal for enhancing the safety, accuracy, and autonomy of robotic surgical systems, directly impacting the future of minimally invasive medicine.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Robotic needle insertion in moving soft tissues using constraint-based inverse Finite Element simulation
10 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Université de Strasbourg, Institut de Recherche contre les Cancers de l’Appareil Digestif

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago