左思洋
- 教师拼音名称：Zuo Siyang
- 性别：男
- 职称：教授
- 所属院系：机械工程学院
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· D. Xie, S. Zuo*, J. Liu*, A novel flat modular pneumatic artificial muscle, Smart Materials and Structures, 2020, 29(6): 065013.
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· T. Liang, C. Zhang, Y. Wang, K. Kong, X. Chen, B. Wei, S. Wang, S. Zuo*, A novel miniature flexible robotic system for endoscopic mucosal dissection: an animal experimental study, Journal of Robotic Surgery, 2024, 18(1): 1-7.
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· Z. Ping, T. Zhang, C. Zhang, J. Liu, S. Zuo*, Design of Contact-aided Compliant Flexure Hinge Mechanism Using Superelastic Nitinol, Journal of Mechanical Design, 2021, 143 (11):114501.
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· J. Liu, J. Wei, G. Zhang, S. Wang, S. Zuo*, Pneumatic Soft Arm Based on Spiral Balloon Weaving and Shape Memory Polymer Backbone. Journal of Mechanical Design, 2019, 141(8): 082302.
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· Q. He, S. Bano, D. Stoyanov, S. Zuo*, DivGI: delve into digestive endoscopy image classification, International Journal of Computer Assisted Radiology and Surgery, 2025, 20:1513-1520
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· Y. Liu, X. Chen, S. Zuo*, A deep learning-driven method for safe and effective ERCP cannulation. International Journal of Computer Assisted Radiology and Surgery, 2025, https://doi.org/10.1007/s11548-025-03329-w
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· X. Xu, S. Zhao, L. Gong, S. Zuo*, A novel contact optimization algorithm for endomicroscopic surface scanning, International Journal of Computer Assisted Radiology and Surgery, 2024, https://doi.org/10.1007/s11548-024-03223-x.
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· Q. He, S. Bano, O. Ahmad, B. Yang, X. Chen, P. Valdastri, L. Lovat, D. Stoyanov, S. Zuo*, Deep Learning Based Anatomical Site Classification for Upper Gastrointestinal Endoscopy, International Journal of Computer Assisted Radiology and Surgery, 2020, 15:1085–1094.
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· C. He, S. Wang, S. Zuo*, A linear stepping endovascular intervention robot with variable stiffness and force sensing, International Journal of Computer Assisted Radiology and Surgery, 2018, 13 (5): 671-682.
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· S. Zuo*, K. Iijima, T. Tokumiya, K. Masamune*, Variable stiffness outer sheath with "Dragon skin" structure and negative pneumatic shape-locking mechanism, International Journal of Computer Assisted Radiology and Surgery, 2014, 9(5):857-865.
