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publications
Jigsaw Training-based Background Reverse Attention Transformer Network for Guidewire Segmentation
Published in International Journal of Computer Assisted Radiology and Surgery, 2022
Recommended citation: G. Zhang, H.-C. Wong*, J. Zhu*, T. An, and C. Wang, “Jigsaw Training-based Background Reverse Attention Transformer Network for Guidewire Segmentation,” International Journal of Computer Assisted Radiology and Surgery, vol. 18, no. 4, pp. 653–661, 2023.
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Embedding Expertise Knowledge into Inverse Treatment Planning for Low-dose-rate Brachytherapy of Hepatic Malignancies
Published in Medical Physics, 2023
Recommended citation: J. Zhu, C. Wang, S. Teng, J. Lu, P. Lyu, P. Zhang, J. Xu, L. Lu*, and G.-J. Teng*, “Embedding Expertise Knowledge into Inverse Treatment Planning for Low-dose-rate Brachytherapy of Hepatic Malignancies,” Medical Physics, vol. 51, no. 1, pp. 348–362, 2024.
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3D/2D Vessel Registration based on Monte Carlo Tree Search and Manifold Regularization
Published in IEEE Transactions on Medical Imaging, 2023
Recommended citation: J. Zhu, C. Wang, Y. Zhang, M. Zhan, W. Zhao, S. Teng, L. Lu*, and G.-J. Teng*, “3D/2D Vessel Registration based on Monte Carlo Tree Search and Manifold Regularization,” IEEE Transactions on Medical Imaging, vol. 43, no. 5, pp. 1727–1739, 2023.
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Advancing Multi-organ and Pan-cancer Segmentation in Abdominal CT Scans through Scale-aware and Self-Attentive Modulation
Published in MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2024
Recommended citation: P. Lyu, J. Xiong, W. Fang, W. Zhang, C. Wang, and J. Zhu*, “Advancing Multi-organ and Pan-cancer Segmentation in Abdominal CT Scans through Scale-aware and Self-Attentive Modulation,” in MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, Springer, 2023, pp. 84–101.
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Metaunetr: Rethinking token mixer encoding for efficient multi-organ segmentation
Published in International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
Recommended citation: P. Lyu, J. Zhang, L. Zhang, W. Liu*, C. Wang, and J. Zhu*, “Metaunetr: Rethinking token mixer encoding for efficient multi-organ segmentation,” in International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2024, pp. 446–455.
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Vision Servoing Endovascular Interventional Robot System: Design and Verification
Published in 2024 IEEE International Conference on Cyborg and Bionic Systems (CBS), 2024
Recommended citation: C. Wang, J. Zhu, X. Li, S. Chen, Z. Chen, Y. Huang, Y. Wu, M. Zhan, and L. Lu, “Vision Servoing Endovascular Interventional Robot System: Design and Verification,” in 2024 IEEE International Conference on Cyborg and Bionic Systems (CBS), IEEE, 2024, pp. 126–132.
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Computed Tomography and Ultrasound-guided Robotic Assistance in Percutaneous Puncture in Abdominal Phantom and Porcine Liver Models
Published in IEEE Transactions on Medical Robotics and Bionics, 2025
Recommended citation: Y. Liu, Y. Wang, J. Xiao, X. He, C. Wang, J. Zhu, P. Lv, H. Cai, L. Qiu, Y. Zhu, Y. Li, and L. Lu, “Computed Tomography and Ultrasound-guided Robotic Assistance in Percutaneous Puncture in Abdominal Phantom and Porcine Liver Models,” IEEE Transactions on Medical Robotics and Bionics, vol. 7, no. 2, pp. 542–549, 2025.
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A Highly Efficient Segmentation Method for Abdominal Multi-organs on Laptop
Published in MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2025
Recommended citation: J. Xiong, P. Lyu, T. Lin, K. Song, C. Wang, and J. Zhu*, “A Highly Efficient Segmentation Method for Abdominal Multi-organs on Laptop,” in MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, Springer, 2024, pp. 116–131.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Numerical Computation
Undergraduate course, Faculty of Innovation Engineering, Macau University of Science and Technology, 2025
Reference: John. H. Mathews, Kurtis D. Fink - Numerical methods using MATLAB 4th Edition
Mathematical Foundations of Artificial Intelligence
Undergraduate course, Faculty of Innovation Engineering, Macau University of Science and Technology, 2025