Xiangde Luo

Xiangde Luo

A 4th-year PhD student at UESTC focuses on medical image computing and annotation-efficient learning.

Selected Publications[All]

Tech reports

  • SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
    Xiangde Luo, Jia Fu, All Participants (35 Authors), Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang
    A challenge report of SegRap2023 (organized in conjunction with MICCAI2023).
    [paper][code][pdf][challenge]

  • Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple Hospitals
    Hongqiu Wang, Jian Chen, Shichen Zhang, Yuan He, Jinfeng Xu, Mengwan Wu, Jinlan He, Wenjun Liao, Xiangde Luo
    Submitted to IEEE Transaction on Medical Imaging (Under Major Revision), the first work about using active learning for source-free domain adaption in medical image segmentation.
    [paper][code][pdf][dataset]

  • Generalizable MRI-based Nasopharyngeal Carcinoma Delineation: Bridging Gaps across Multiple Centers and Raters with Active Learning
    Xiangde Luo, Hongqiu Wang, Jinfeng Xu, Lu Li, Yue Zhao, Yuan He, Hui Huang, Jianghong Xiao, Song Tao, Shichuan Zhang, Shaoting Zhang, Guotai Wang, Wenjun Liao
    Submitted to Radiology: Artificial Intelligence (Under Major Revision), the first application using active learning for source-free primary tumor cross multi-center and multi-rater delineation evaluation.
    [paper][code][pdf][dataset]

Technical Journals

  • Towards Multi-Center Cross Tissues Histopathological Cell Segmentation via Target-Specific Finetuning
    Zhongyu Li, Chaoqun Li, Xiangde Luo, Yitian Zhou, Jihua Zhu, Cunbao Xu, Meng Yang, Yenan Wu, Yifeng Chen
    IEEE Transaction on Medical Imaging, 42 (9): 2666-2677. (2023 IF 10.6). (the first three authors contributed equally.)
    [paper][code][pdf]

  • WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
    Xiangde Luo, Wenjun Liao, Jianghong Xiao, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris N. Metaxas, Guotai Wang, Shaoting Zhang
    Medical Image Analysis, 82 (2022): 102642. (2022 IF 13.828).
    [paper][code][pdf][dataset]

  • Semi-Supervised Medical Image Segmentation via Uncertainty Rectified Pyramid Consistency
    Xiangde Luo, Guotai Wang, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuang Zhang, Dimitris N. Metaxas, Shaoting Zhang
    Medical Image Analysis, 80 (2022): 102517. (2022 IF 13.828).
    [paper][code][pdf]

  • SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching
    Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang
    Medical Image Analysis, 75 (2022): 102287. (2022 IF 13.828).
    [paper][code][pdf]

  • MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
    Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren, Shaoting Zhang
    Medical Image Analysis, 72 (2021): 102102. (2021 IF 8.545).
    [paper][code][pdf][demo]

Clinical Journals

  • Deep learning-based accurate and robust delineation of primary gross tumor volumes of nasopharyngeal carcinoma on heterogeneous magnetic resonance imaging: a large-scale and multi-center study
    Xiangde Luo, Wenjun Liao, Yuan He, Fan Tang, Mengwan Wu, Yuanyuan Shen, Hui Huang, Tao Song, Kang Li, Shichuan Zhang, Shaoting Zhang, Guotai Wang
    Radiotherapy and Oncology, 180 (2023): 109480. (2022 IF 6.901).
    [paper][code][pdf]

  • Comprehensive evaluation of a deep learning model for automatic organs at risk segmentation on heterogeneous computed tomography images for abdominal radiotherapy
    Wenjun Liao, Xiangde Luo, Yuan He, Ye Dong, Churong Li, Kang Li, Shichuan Zhang, Shaoting Zhang, Guotai Wang, Jianghong Xiao
    Accept to International Journal of Radiation Oncology Biology Physics (2022 IF 8.01)
    [paper][code][pdf]

  • Automatic delineation of gross tumor volume based on magnetic resonance imaging by performing a novel semisupervised learning framework in nasopharyngeal carcinoma
    Wenjun Liao, Jinlan He, Xiangde Luo, Mengwan Wu, Yuanyuan Shen, Churong Li, Jianghong Xiao, Guotai Wang, Nianyong Chen
    Accept to International Journal of Radiation Oncology Biology Physics (2022 IF 8.01)
    [paper][code][pdf]

Conferences

  • Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision
    Xiangde Luo, Minhao Hu, Wenjun Liao, Shuwei Zhai, Tao Song, Guotai Wang, Shaoting Zhang
    MICCAI2022 (CCF B, early accept, top 13% in 1825 submissions, Student Travel Award).
    [paper][code][pdf]

  • Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer
    Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang
    MIDL2022.
    [paper][code][pdf]

  • Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
    Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuang Zhang, Nianyong Chen, Guotai Wang, Shaoting Zhang
    MICCAI2021 (CCF B, early accept, top 13% in 1630 submissions).
    [paper][code][pdf]

  • Semi-supervised Medical Image Segmentation through Dual-task Consistency
    Xiangde Luo, Jieneng Chen, Tao Song, Guotai Wang
    AAAI2021 (CCF A).
    [paper][code][pdf]