publications | Dr Xinzhe Luo

* denotes equal contribution

An up-to-date list is available on Google Scholar

2025

Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow Matching

Xinzhe Luo, Yingzhen Li, and Chen Qin

In International Conference on Information Processing in Medical Imaging (IPMI), 2025

Awarded Bib HTML

Oral Presentation

@inproceedings{luo2025unsupervised,
  title = {Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow Matching},
  author = {Luo, Xinzhe and Li, Yingzhen and Qin, Chen},
  booktitle = {International Conference on Information Processing in Medical Imaging (IPMI)},
  pages = {127--141},
  year = {2025},
  organization = {Springer},
}

STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification

Siyi Du, Xinzhe Luo, Declan P O’Regan, and 1 more author

In Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR), 2025

Bib HTML Code

@inproceedings{du2025stil,
  title = {STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification},
  author = {Du, Siyi and Luo, Xinzhe and O'Regan, Declan P and Qin, Chen},
  booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)},
  pages = {15549--15559},
  year = {2025},
}

Bayesian unsupervised disentanglement of anatomy and geometry for deep groupwise image registration

Xinzhe Luo^*, Xin Wang^*, Linda Shapiro, and 3 more authors

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025

Bib HTML

@article{luo2025bayesian,
  title = {Bayesian unsupervised disentanglement of anatomy and geometry for deep groupwise image registration},
  author = {Luo, Xinzhe and Wang, Xin and Shapiro, Linda and Yuan, Chun and Feng, Jianfeng and Zhuang, Xiahai},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  year = {2025},
  publisher = {IEEE},
}

BayeSMM: Robust Deep Combined Computing Tackling Heavy-Tailed Distribution in Medical Images

Yuanye Liu, Ruoxuan Zhen, Shangqi Gao, and 4 more authors

In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025

Awarded Bib HTML

Oral Presentation

@inproceedings{liu2025bayesmm,
  title = {BayeSMM: Robust Deep Combined Computing Tackling Heavy-Tailed Distribution in Medical Images},
  author = {Liu, Yuanye and Zhen, Ruoxuan and Gao, Shangqi and Luo, Xinzhe and Gao, Xin and Chen, Qingchao and Zhuang, Xiahai},
  booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  pages = {45--54},
  year = {2025},
  organization = {Springer},
}

2024

Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning

Bomin Wang^*, Xinzhe Luo^*, and Xiahai Zhuang

In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024

Bib HTML Code

@inproceedings{wang2024toward,
  title = {Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning},
  author = {Wang, Bomin and Luo, Xinzhe and Zhuang, Xiahai},
  booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  pages = {739--748},
  year = {2024},
  organization = {Springer},
}

CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization

Yinsong Wang, Siyi Du, Shaoming Zheng, and 2 more authors

In International Workshop on Biomedical Image Registration, 2024

Bib HTML

@inproceedings{wang2024car,
  title = {CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization},
  author = {Wang, Yinsong and Du, Siyi and Zheng, Shaoming and Luo, Xinzhe and Qin, Chen},
  booktitle = {International Workshop on Biomedical Image Registration},
  pages = {308--318},
  year = {2024},
  organization = {Springer},
}

2023

X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing

Xinzhe Luo and Xiahai Zhuang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

Bib HTML Code

@article{luo2022xmetric,
  title = {X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing},
  author = {Luo, Xinzhe and Zhuang, Xiahai},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  volume = {45},
  number = {7},
  pages = {9206--9224},
  year = {2023},
  publisher = {IEEE},
}

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images

Lei Li, Fuping Wu, Sihan Wang, and 8 more authors

Medical Image Analysis, 2023

Bib HTML

@article{li2023myops,
  title = {MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images},
  author = {Li, Lei and Wu, Fuping and Wang, Sihan and Luo, Xinzhe and Mart{\'\i}n-Isla, Carlos and Zhai, Shuwei and Zhang, Jianpeng and Liu, Yanfei and Zhang, Zhen and Ankenbrand, Markus J and others},
  journal = {Medical Image Analysis},
  volume = {87},
  pages = {102808},
  year = {2023},
  publisher = {Elsevier},
}

BInGo: Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement

Xin Wang^*, Xinzhe Luo^*, and Xiahai Zhuang

In International Conference on Information Processing in Medical Imaging (IPMI), 2023

Awarded Bib HTML

Oral Presentation, Honorable Mention for the Francois Erbsmann Prize

@inproceedings{wang2023bingo,
  title = {BInGo: Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement},
  author = {Wang, Xin and Luo, Xinzhe and Zhuang, Xiahai},
  booktitle = {International Conference on Information Processing in Medical Imaging (IPMI)},
  pages = {319--331},
  year = {2023},
  organization = {Springer},
}

2022

SeRN: A two-stage framework of registration for semi-supervised learning for medical images

Dengqiang Jia, Xinzhe Luo, Wangbin Ding, and 2 more authors

Journal of Shanghai Jiaotong University (Science), 2022

Bib HTML

@article{jia2022sern,
  title = {SeRN: A two-stage framework of registration for semi-supervised learning for medical images},
  author = {Jia, Dengqiang and Luo, Xinzhe and Ding, Wangbin and Huang, Liqin and Zhuang, Xiahai},
  journal = {Journal of Shanghai Jiaotong University (Science)},
  volume = {27},
  number = {2},
  pages = {176--189},
  year = {2022},
  publisher = {Springer},
}

Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge

Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, and 8 more authors

Medical Image Analysis, 2022

Bib HTML

@article{zhuang2022cardiac,
  title = {Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge},
  author = {Zhuang, Xiahai and Xu, Jiahang and Luo, Xinzhe and Chen, Chen and Ouyang, Cheng and Rueckert, Daniel and Campello, Victor M and Lekadir, Karim and Vesal, Sulaiman and RaviKumar, Nishant and others},
  journal = {Medical Image Analysis},
  volume = {81},
  pages = {102528},
  year = {2022},
  publisher = {Elsevier},
}

2020

MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation

Xinzhe Luo and Xiahai Zhuang

In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020

Awarded Bib HTML Code

Oral Presentation

@inproceedings{luo2020mvmm,
  title = {MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation},
  author = {Luo, Xinzhe and Zhuang, Xiahai},
  booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  pages = {149--159},
  year = {2020},
  organization = {Springer},
}

2019

Cardiac segmentation from LGE MRI using deep neural network incorporating shape and spatial priors

Qian Yue, Xinzhe Luo, Qing Ye, and 2 more authors

In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019

Bib HTML Code

@inproceedings{yue2019cardiac,
  title = {Cardiac segmentation from LGE MRI using deep neural network incorporating shape and spatial priors},
  author = {Yue, Qian and Luo, Xinzhe and Ye, Qing and Xu, Lingchao and Zhuang, Xiahai},
  booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  pages = {559--567},
  year = {2019},
  organization = {Springer},
}