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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

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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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

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