Xinzhe Luo

According to our database, Xinzhe Luo authored at least 26 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Adaptive Conditional Contrast-Agnostic Deformable Image Registration With Uncertainty Estimation.

Yinsong Wang, Xinzhe Luo, Siyi Du, Chen Qin

IEEE Trans. Medical Imaging, May, 2026

MedQ-Deg: A Multidimensional Benchmark for Evaluating MLLMs Across Medical Image Quality Degradations.

Jiyao Liu, Junzhi Ning, Chenglong Ma, Wanying Qu, Jianghan Shen, Siqi Luo, Jinjie Wei, Jin Ye, Pengze Li, Tianbin Li, Jiashi Lin, Hongming Shan, Xinzhe Luo, Xiaohong Liu, Lihao Liu, Junjun He, Ningsheng Xu

CoRR, March, 2026

Virtual Biopsy for Intracranial Tumors Diagnosis on MRI.

Xinzhe Luo, Shuai Shao, Yan Wang, Jiangtao Wang, Yutong Bai, Jianguo Zhang

CoRR, February, 2026

ReBA-Pred-Net: Weakly-Supervised Regional Brain Age Prediction on MRI.

Shuai Shao, Yan Wang, Shu Jiang, Shiyuan Zhao, Xinzhe Luo, Di Yang, Jiangtao Wang, Yutong Bai, Jianguo Zhang

CoRR, February, 2026

Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration.

Xinzhe Luo, Xin Wang, Linda G. Shapiro, Chun Yuan, Jianfeng Feng, Xiahai Zhuang

IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification.

Siyi Du, Xinzhe Luo, Declan P. O'Regan, Chen Qin

CoRR, January, 2026

Self-Supervised Slice-to-Volume Reconstruction with Gaussian Representations for Fetal MRI.

Yinsong Wang, Thomas Fletcher, Xinzhe Luo, Aine Travers Dineen, Rhodri Cusack, Chen Qin

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs.

Jiyao Liu, Jinjie Wei, Wanying Qu, Chenglong Ma, Junzhi Ning, Yunheng Li, Ying Chen, Xinzhe Luo, Pengcheng Chen, Xin Gao, Ming Hu, Huihui Xu, Xin Wang, Shujian Gao, Dingkang Yang, Zhongying Deng, Jin Ye, Lihao Liu, Junjun He, Ningsheng Xu

CoRR, October, 2025

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

Yuanye Liu, Ruoxuan Zhen, Shangqi Gao, Xinzhe Luo, Xin Gao, Qingchao Chen, Xiahai Zhuang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

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

Xinzhe Luo, Yingzhen Li, Chen Qin

Proceedings of the Information Processing in Medical Imaging, 2025

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

Siyi Du, Xinzhe Luo, Declan P. O'Regan, Chen Qin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry.

Xinzhe Luo, Xin Wang, Linda Shapiro, Chun Yuan, Jianfeng Feng, Xiahai Zhuang

CoRR, 2024

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

Yinsong Wang, Siyi Du, Shaoming Zheng, Xinzhe Luo, Chen Qin

Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

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

Bomin Wang, Xinzhe Luo, Xiahai Zhuang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

$\mathcal {X}$-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing.

Xinzhe Luo, Xiahai Zhuang

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

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

Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang

Medical Image Anal., 2023

BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement.

Xin Wang, Xinzhe Luo, Xiahai Zhuang

Proceedings of the Information Processing in Medical Imaging, 2023

2022

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

Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li

Medical Image Anal., 2022

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

Xinzhe Luo, Xiahai Zhuang

CoRR, 2022

Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement.

Xin Wang, Xinzhe Luo, Xiahai Zhuang

CoRR, 2022

2021

A low-rank representation for unsupervised registration of medical images.

Dengqiang Jia, Shangqi Gao, Qunlong Chen, Xinzhe Luo, Xiahai Zhuang

CoRR, 2021

2020

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.

Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao

CoRR, 2020

Anatomy Prior Based U-net for Pathology Segmentation with Attention.

Yuncheng Zhou, Ke Zhang, Xinzhe Luo, Sihan Wang, Xiahai Zhuang

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation.

Xinzhe Luo, Xiahai Zhuang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images.

Jiahang Xu, Fangyang Jiao, Yechong Huang, Xinzhe Luo, Qian Xu, Ling Li, Xueling Liu, Chuantao Zuo, Ping Wu, Xiahai Zhuang

CoRR, 2019

Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors.

Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019