Zhen Li
Orcid: 0000-0002-4033-8650Affiliations:
- Chinese Academy of Sciences, Institute of Automation, Beijing, China
According to our database1,
Zhen Li
authored at least 29 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
BiMNet: A Multimodal Data Fusion Network for continuous circular capsulorhexis Action Segmentation.
Expert Syst. Appl., March, 2024
IEEE Trans. Instrum. Meas., 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Procedure Recognition by Knowledge-Driven Segmentation in Robotic-Assisted Vitreoretinal Surgery.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Variation-learning high-resolution network for capsulorhexis recognition of cataract surgery.
Appl. Soft Comput., November, 2023
IEEE Trans. Medical Imaging, October, 2023
Learning surgical skills under the RCM constraint from demonstrations in robot-assisted minimally invasive surgery.
Expert Syst. Appl., September, 2023
Dynamic Multiaction Recognition and Expert Movement Mapping for Closed Pelvic Reduction.
IEEE Trans. Ind. Informatics, August, 2023
Fast instruments and tissues segmentation of micro-neurosurgical scene using high correlative non-local network.
Comput. Biol. Medicine, February, 2023
A Dynamic-Static Weighted Network with Diverse-Token Fusion Attention for Rhexis Margin Recognition in Microscopic Surgery.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023
Automated Key Action Detection for Closed Reduction of Pelvic Fractures by Expert Surgeons in Robot-Assisted Surgery.
IROS, 2023
Proceedings of the Database Systems for Advanced Applications, 2023
Proceedings of the 16th International Congress on Image and Signal Processing, 2023
MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Space Squeeze Reasoning and Low-Rank Bilinear Feature Fusion for Surgical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022
SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation.
Medical Image Anal., 2022
An automatic drug injection device with spatial micro-force perception guided by an microscopic image for robot-assisted ophthalmic surgery.
Frontiers Robotics AI, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the Database Systems for Advanced Applications, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2020
BARNet: Bilinear Attention Network with Adaptive Receptive Field for Surgical Instrument Segmentation.
CoRR, 2020
Real-Time Iris Tracking Using Deep Regression Networks for Robotic Ophthalmic Surgery.
IEEE Access, 2020
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Glaucoma Detection: Joint Segmentation and Classification Framework via Deep Ensemble Network.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020
2019
An Extremely Fast and Precise Convolutional Neural Network for Recognition and Localization of Cataract Surgical Tools.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Path Planning for Surgery Robot with Bidirectional Continuous Tree Search and Neural Network.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments.
Proceedings of the Neural Information Processing - 26th International Conference, 2019