Xinzhe Luo
Orcid: 0000-0003-2822-1633
According to our database1,
Xinzhe Luo
authored at least 15 papers
between 2019 and 2024.
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Bibliography
2024
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry.
CoRR, 2024
CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization.
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024
Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning.
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.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
Medical Image Anal., 2023
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement.
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.
Medical Image Anal., 2022
X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing.
CoRR, 2022
CoRR, 2022
2021
CoRR, 2021
2020
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020
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.
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.
CoRR, 2019
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019