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A Generic Deformation Model for Dense Non-Rigid Surface Registration: a Higher-Order MRF-based Approach

机译：密集非刚性曲面配准的通用变形模型：基于高阶mRF的方法

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Yun Zeng; Chaohui Wang; Xianfeng Gu; Dimitris Samaras; Nikos Paragios;
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年度 2015
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1. Higher-Order Graph Principles towards Non-Rigid Surface Registration [J] . Yun Zeng, Chaohui Wang, Xianfeng Gu, IEEE Transactions on Pattern Analysis and Machine Intelligence . 2016,第12期

机译：非刚性表面配准的高阶图原理
2. Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised Training Data [J] . Onofrey John /A/., Papademetris Xenophon, Staib Lawrence H. Medical Imaging, IEEE Transactions on . 2015,第7期

机译：使用来自半监督训练数据的统计变形模型进行低维非刚性图像配准
3. Patient-specific non-linear finite element modelling for predicting soft organ deformation in real-time; Application to non-rigid neuroimage registration [J] . Wittek Adam, Joldes Grand, Couton Mathieu, Progress in Biophysics and Molecular Biology: An International Review Journal . 2010,第2a3期

机译：针对患者的非线性有限元建模，可实时预测软器官变形;在非刚性神经图像配准中的应用
4. A Generic Deformation Model for Dense Non-rigid Surface Registration: A Higher-Order MRF-Based Approach [C] . Zeng Yun, Wang Chaohui, Gu Xianfeng, IEEE International Conference on Computer Vision . 2013

机译：稠密非刚性表面配准的通用变形模型：基于MRF的高阶方法
5. An elastic plastic approach: Modeling deformation of dense sand. [D] . Ferris, Gerald Wayne. 2000

机译：弹性塑性方法：模拟稠密砂土的变形。
6. Patient-Specific Non-Linear Finite Element Modelling for Predicting Soft Organ Deformation in Real-Time; Application to Non-Rigid Neuroimage Registration [O] . Adam Wittek, Grand Joldes, Mathieu Couton, -1

机译：患者特异性非线性有限元建模用于实时预测软器官变形;应用于非刚性神经视线登记
7. A Generic Deformation Model for Dense Non-Rigid Surface Registration: a Higher-Order MRF-based Approach [O] . Zeng Y., Wang C., Gu X., 2013

机译：密集非刚性曲面配准的通用变形模型：基于高阶mRF的方法

A Generic Deformation Model for Dense Non-Rigid Surface Registration: a Higher-Order MRF-based Approach

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