Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources-Reference-Cited by-同舟云学术

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Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Qin Yidan,Pedram Sahba Aghajani,Feyzabadi Seyedshams,Allan Max,McLeod A. Jonathan,Burdick Joel W.,Azizian Mahdi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9187508/9196508/09196560.pdf?arnumber=9196560

Cited by 23 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. Algorithms in Surgical Action Recognition: A Survey;2024 IEEE International Conference on Real-time Computing and Robotics (RCAR);2024-06-24

2. Multimodal Transformers for Real-Time Surgical Activity Prediction;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Instrument Detection and Descriptive Gesture Segmentation on a Robotic Surgical Maneuvers Dataset;Applied Sciences;2024-04-26

4. Multimodal semi-supervised learning for online recognition of multi-granularity surgical workflows;International Journal of Computer Assisted Radiology and Surgery;2024-04-01

5. Explainable AI (XAI)-Based Robot-Assisted Surgical Classification Procedure;Computational Intelligence Methods and Applications;2024

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