Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows-Reference-Cited by-同舟云学术

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Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows

Published:2021-05-30 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Ban Yutong,Rosman Guy,Ward Thomas,Hashimoto Daniel,Kondo Taisei,Iwaki Hidekazu,Meireles Ozanan,Rus Daniela

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9560720/9560666/09561770.pdf?arnumber=9561770

Cited by 12 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. Robotic scrub nurse to anticipate surgical instruments based on real-time laparoscopic video analysis;Communications Medicine;2024-08-02

2. Concept Graph Neural Networks for Surgical Video Understanding;IEEE Transactions on Medical Imaging;2024-01

3. Surgical Data Science: Emerging Trends and Future Pathways;Topics in Intelligent Engineering and Informatics;2024

4. SPHASE: Multi-Modal and Multi-Branch Surgical Phase Segmentation Framework based on Temporal Convolutional Network;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

5. Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition;IEEE Journal of Biomedical and Health Informatics;2023-11

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