A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ... Medical image analysis 67, 101832, 2021 | 229 | 2021 |
Cardiac segmentation from LGE MRI using deep neural network incorporating shape and spatial priors Q Yue, X Luo, Q Ye, L Xu, X Zhuang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 96 | 2019 |
Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge X Zhuang, J Xu, X Luo, C Chen, C Ouyang, D Rueckert, VM Campello, ... Medical Image Analysis 81, 102528, 2022 | 60 | 2022 |
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images L Li, F Wu, S Wang, X Luo, C Martín-Isla, S Zhai, J Zhang, Y Liu, Z Zhang, ... Medical Image Analysis 87, 102808, 2023 | 16 | 2023 |
-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing X Luo, X Zhuang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 14 | 2022 |
MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation X Luo, X Zhuang International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 13 | 2020 |
A fully automatic framework for parkinson’s disease diagnosis by multi-modality images J Xu, F Jiao, Y Huang, X Luo, Q Xu, L Li, X Liu, C Zuo, P Wu, X Zhuang Frontiers in neuroscience 13, 454296, 2019 | 9 | 2019 |
Anatomy prior based u-net for pathology segmentation with attention Y Zhou, K Zhang, X Luo, S Wang, X Zhuang International Workshop on Statistical Atlases and Computational Models of …, 2020 | 8 | 2020 |
A low-rank representation for unsupervised registration of medical images D Jia, S Gao, Q Chen, X Luo, X Zhuang arXiv preprint arXiv:2105.09548, 2021 | 3 | 2021 |
SeRN: A Two-Stage Framework of Registration for Semi-Supervised Learning for Medical Images D Jia, X Luo, W Ding, L Huang, X Zhuang Journal of Shanghai Jiaotong University (Science), 1-14, 2022 | 1 | 2022 |
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry X Luo*, X Wang*, L Shapiro, C Yuan, J Feng, X Zhuang arXiv preprint arXiv:2401.02141, 2024 | | 2024 |
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement X Wang*, X Luo*, X Zhuang International Conference on Information Processing in Medical Imaging, 319-331, 2023 | | 2023 |