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Fully Distributed Shape Sensing of a Flexible Surgical Needle Using Optical Frequency Domain Reflectometry for Prostate Interventions

Jacynthe Francoeur, Dimitro Lezcano, Yemar Zhetpissov, Raman Kashyap, Iulian Iordachita and Samuel Kadoury

Paper (2024)

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Department: Department of Mathematics and Industrial Engineering
Department of Electrical Engineering
Department of Computer Engineering and Software Engineering
PolyPublie URL: https://publications.polymtl.ca/59314/
Conference Title: 2024 IEEE International Conference on Robotics and Automation (ICRA 2024)
Conference Location: Yokohama, Japan
Conference Date(s): 2024-05-13 - 2024-05-17
Publisher: IEEE
DOI: 10.1109/icra57147.2024.10610256
Official URL: https://doi.org/10.1109/icra57147.2024.10610256
Date Deposited: 24 Sep 2024 16:18
Last Modified: 25 Sep 2024 16:52
Cite in APA 7: Francoeur, J., Lezcano, D., Zhetpissov, Y., Kashyap, R., Iordachita, I., & Kadoury, S. (2024, May). Fully Distributed Shape Sensing of a Flexible Surgical Needle Using Optical Frequency Domain Reflectometry for Prostate Interventions [Paper]. 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan. https://doi.org/10.1109/icra57147.2024.10610256

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