Publications

Journal Articles

Multi-needle Localization for Pelvic Seed Implant Brachytherapy based on Tip-handle Detection and Matching

Published in IEEE Journal of Biomedical and Health Informatics, 2026

We propose a tip–handle detection and matching framework for robust multi-needle 3D localization in intraoperative CT for pelvic seed-implant brachytherapy, outperforming a segmentation-based baseline.

Recommended citation: Xiao, Z., Zhou, F., Wang, J., He, C., Liu, B., Sun, H., Ji, Z., Jiang, Y., Wang, J., & Wu, Q. (2026). "Multi-needle Localization for Pelvic Seed Implant Brachytherapy based on Tip-handle Detection and Matching." IEEE Journal of Biomedical and Health Informatics, 1-14. doi:10.1109/JBHI.2026.3694701
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An Iterative LLM Framework for SIBT utilizing RAG-based Adaptive Weight Optimization

Published in arXiv preprint arXiv:2509.08407, 2025

This paper proposes an iterative large language model (LLM) framework for seed implant brachytherapy (SIBT), leveraging retrieval-augmented generation (RAG) and adaptive weight optimization to enhance treatment planning.

Recommended citation: Xiao, Z., Yao, Q., Wang, J., Zhou, F., Liu, B., Sun, H., Ji, Z., Jiang, Y., Wang, J., & Wu, Q. (2025). "An Iterative LLM Framework for SIBT utilizing RAG-based Adaptive Weight Optimization." arXiv preprint arXiv:2509.08407.
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Automatic planning for head and neck seed implant brachytherapy based on deep convolutional neural network dose engine

Published in Medical Physics, 2024

This paper presents an automatic treatment planning framework for head and neck seed implant brachytherapy, leveraging a deep convolutional neural network–based dose engine.

Recommended citation: Xiao, Z., Xiong, T., Geng, L., Zhou, F., Liu, B., Sun, H., Ji, Z., Jiang, Y., Wang, J., & Wu, Q. (2024). "Automatic planning for head and neck seed implant brachytherapy based on deep convolutional neural network dose engine." Medical Physics, 51(2), 1460–1473.
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Conference Papers

An Adaptive Feature Aggregation-Enhanced DCNN for Real-Time CT Reconstruction and Tumor Segmentation from Single X-Ray Projections

Published in Medical Physics (AAPM 66th Annual Meeting Abstract & Oral Presentation), 2024

This work presents an adaptive feature aggregation-enhanced deep convolutional neural network (DCNN) for real-time CT reconstruction and tumor segmentation from single X-ray projections, demonstrated at the AAPM 66th Annual Meeting.

Recommended citation: Zhu, M., et al. (2024). "An Adaptive Feature Aggregation-Enhanced DCNN for Real-Time CT Reconstruction and Tumor Segmentation from Single X-Ray Projections." AAPM 66th Annual Meeting & Exhibition.
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An Automatic Needle and Seed Planning Algorithm for Head and Neck Seed Implant Brachytherapy

Published in Medical Physics (AAPM 64th Annual Meeting Abstract & Poster), 2022

This work presents an automatic planning algorithm for needle and seed placement in head and neck seed implant brachytherapy, evaluated in the context of the AAPM annual meeting.

Recommended citation: Xiao, Z., et al. (2022). "An Automatic Needle and Seed Planning Algorithm for Head and Neck Seed Implant Brachytherapy." Medical Physics, 49(6).
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