Xinzhe Luo

Orcid: 0000-0003-2822-1633

According to our database1, Xinzhe Luo authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry.
CoRR, 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

Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement.
CoRR, 2022

2021
A low-rank representation for unsupervised registration of medical images.
CoRR, 2021

2020
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020

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


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