Xinzhe Luo - RankMe

34 papers A* 1Journal 25Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Conditional Contrast-Agnostic Deformable Image Registration with Uncertainty Estimation. CoRR Yinsong Wang, Xinzhe Luo, Siyi Du, Chen Qin
2026	J	`jnl`	Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration. IEEE Trans. Pattern Anal. Mach. Intell. Xinzhe Luo, Xin Wang, Linda G. Shapiro, Chun Yuan, Jianfeng Feng, Xiahai Zhuang
2026	J	`jnl`	Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification. CoRR Siyi Du, Xinzhe Luo, Declan P. O'Regan, Chen Qin
2026	J	`jnl`	MedQ-Deg: A Multidimensional Benchmark for Evaluating MLLMs Across Medical Image Quality Degradations. CoRR 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
2026	J	`jnl`	ReBA-Pred-Net: Weakly-Supervised Regional Brain Age Prediction on MRI. CoRR Shuai Shao, Yan Wang, Shu Jiang, Shiyuan Zhao, Xinzhe Luo, Di Yang, Jiangtao Wang, Yutong Bai, Jianguo Zhang
2026	J	`jnl`	Self-Supervised Slice-to-Volume Reconstruction with Gaussian Representations for Fetal MRI. CoRR Yinsong Wang, Thomas Fletcher, Xinzhe Luo, Aine Travers Dineen, Rhodri Cusack, Chen Qin
2026	J	`jnl`	Virtual Biopsy for Intracranial Tumors Diagnosis on MRI. CoRR Xinzhe Luo, Shuai Shao, Yan Wang, Jiangtao Wang, Yutong Bai, Jianguo Zhang
2025	—	`conf`	BayeSMM: Robust Deep Combined Computing Tackling Heavy-Tailed Distribution in Medical Images. MICCAI (13) Yuanye Liu, Ruoxuan Zhen, Shangqi Gao, Xinzhe Luo, Xin Gao, Qingchao Chen, Xiahai Zhuang
2025	J	`jnl`	MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs. CoRR 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
2025	A*	`conf`	STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification. CVPR Siyi Du, Xinzhe Luo, Declan P. O'Regan, Chen Qin
2025	J	`jnl`	STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification. CoRR Siyi Du, Xinzhe Luo, Declan P. O'Regan, Chen Qin
2025	—	`conf`	Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow Matching. IPMI (1) Xinzhe Luo, Yingzhen Li, Chen Qin
2024	J	`jnl`	Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry. CoRR Xinzhe Luo, Xin Wang, Linda Shapiro, Chun Yuan, Jianfeng Feng, Xiahai Zhuang
2024	—	`conf`	CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization. WBIR Yinsong Wang, Siyi Du, Shaoming Zheng, Xinzhe Luo, Chen Qin
2024	J	`jnl`	CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization. CoRR Yinsong Wang, Siyi Du, Shaoming Zheng, Xinzhe Luo, Chen Qin
2024	—	`conf`	Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning. MICCAI (2) Bomin Wang, Xinzhe Luo, Xiahai Zhuang
2024	J	`jnl`	Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning. CoRR Bomin Wang, Xinzhe Luo, Xiahai Zhuang
2023	J	`jnl`	$\mathcal {X}$-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing. IEEE Trans. Pattern Anal. Mach. Intell. Xinzhe Luo, Xiahai Zhuang
2023	—	`conf`	BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement. IPMI Xin Wang, Xinzhe Luo, Xiahai Zhuang
2023	J	`jnl`	MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 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
2022	J	`jnl`	Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement. CoRR Xin Wang, Xinzhe Luo, Xiahai Zhuang
2022	J	`jnl`	Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 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
2022	J	`jnl`	MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR 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
2022	J	`jnl`	X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing. CoRR Xinzhe Luo, Xiahai Zhuang
2021	J	`jnl`	A low-rank representation for unsupervised registration of medical images. CoRR Dengqiang Jia, Shangqi Gao, Qunlong Chen, Xinzhe Luo, Xiahai Zhuang
2020	J	`jnl`	A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR 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
2020	—	`conf`	Anatomy Prior Based U-net for Pathology Segmentation with Attention. M&Ms and EMIDEC/STACOM@MICCAI Yuncheng Zhou, Ke Zhang, Xinzhe Luo, Sihan Wang, Xiahai Zhuang
2020	J	`jnl`	Anatomy Prior Based U-net for Pathology Segmentation with Attention. CoRR Yuncheng Zhou, Ke Zhang, Xinzhe Luo, Sihan Wang, Xiahai Zhuang
2020	J	`jnl`	Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR 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
2020	—	`conf`	MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation. MICCAI (3) Xinzhe Luo, Xiahai Zhuang
2020	J	`jnl`	MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation. CoRR Xinzhe Luo, Xiahai Zhuang
2019	J	`jnl`	A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images. CoRR Jiahang Xu, Fangyang Jiao, Yechong Huang, Xinzhe Luo, Qian Xu, Ling Li, Xueling Liu, Chuantao Zuo, Ping Wu, Xiahai Zhuang
2019	—	`conf`	Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors. MICCAI (2) Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang
2019	J	`jnl`	Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors. CoRR Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang