Trajectory Generation of FBG-Sensorized Needles for Insertions into Multi-Layer Tissue
Author:
Funder
National Institutes of Health
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9278450/9278578/09278807.pdf?arnumber=9278807
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Simulation-Based Flexible Needle Control With Single-Core FBG Feedback for Spinal Injections;IEEE Transactions on Medical Robotics and Bionics;2024-08
2. Hybrid Deep Learning and Model-Based Needle Shape Prediction;IEEE Sensors Journal;2024-06-01
3. Design of an MRI Compatible Steerable Guide for MRI-Guided Laser Interstitial Thermal Therapy;IEEE Transactions on Medical Robotics and Bionics;2024-02
4. Lie-Group Theoretic Approach to Shape-Sensing Using FBG-Sensorized Needles Including Double-Layer Tissue and S-Shape Insertions;IEEE Sensors Journal;2022-11-15
5. Toward FBG-Sensorized Needle Shape Prediction in Tissue Insertions;2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2022-10-23
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