Rupture Detection During Needle Insertion Using Complex OCT Data and CNNs

Author:

Latus SarahORCID,Sprenger JohannaORCID,Neidhardt Maximilian,Schadler Julia,Ron Alexandra,Fitzek Antonia,Schluter MatthiasORCID,Breitfeld Philipp,Heinemann Axel,Puschel Klaus,Schlaefer Alexander

Funder

Hamburg University of Technology

German Research Foundation DFG

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

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. Kirchhoff's law-based velocity-controlled motion models to predict real-time cutting forces in minimally invasive surgeries;Journal of the Mechanical Behavior of Biomedical Materials;2024-06

2. Can Complex-Valued Neural Networks Improve Force Sensing with Optical Coherence Tomography?;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

3. Motion-compensated OCT imaging of laryngeal tissue;Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling;2024-03-29

4. Sensing Technologies for Guidance During Needle-Based Interventions;IEEE Transactions on Instrumentation and Measurement;2024

5. Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

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