Publications
You can also find my articles on my Google Scholar profile.
Note: * denotes equal contribution.
Preprint
- Xinzhe Luo*, Xin Wang*, Linda Shapiro, Chun Yuan, Jianfeng Feng, and Xiahai Zhuang. “Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry.” arXiv preprint arXiv: 2401.02141. (Link)
Journal Articles
- Xinzhe Luo, and Xiahai Zhuang: “X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing.” IEEE Transactions on Pattern Analysis and Machine Intelligence (2023). (Link, Code)
- Lei Li, Fuping Wu, Sihang Wang, Xinzhe Luo, …, Xiahai Zhuang: “MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images.” Medical Image Analysis 87 (2023): 102808. (Link)
- Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, …, Lei Li: “Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge.” Medical Image Analysis 81 (2022): 102528. (Link)
- Dengqiang Jia, Xinzhe Luo, Wangbin Ding, Liqin Huang, and Xiahai Zhuang: “SeRN: A Two-Stage Framework of Registration for Semi-Supervised Learning for Medical Images.” Journal of Shanghai Jiaotong University (Science) 27.2 (2022): 176-189. (Link)
Conference Papers
- Xinzhe Luo, Yingzhen Li, and Chen Qin: “Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow.” International Conference on Information Processing in Medical Imaging (IPMI 2025, Oral Presentation). (Link)
- Bomin Wang*, Xinzhe Luo*, and Xiahai Zhuang: “Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning.” International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024). (Link, Code).
- Xin Wang*, Xinzhe Luo*, and Xiahai Zhuang: “BInGo: Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement.” International Conference on Information Processing in Medical Imaging (IPMI 2023, Oral presentation, Honourable Mention for the Francois Erbsmann Prize). (Link)
- Xinzhe Luo, and Xiahai Zhuang: “MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation.” International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2020. (Link, Code)
- Qian Yue, Xinzhe Luo, Qing Ye, LingChao Xu, and Xiahai Zhuang: “Cardiac segmentation from LGE MRI using deep neural network incorporating shape and spatial priors.” International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019. (Link)
“Engıa pára d’ate.”
— From The Inscriptions at Delphi