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Efficient methods for implementation of multi-level nonrigid mass-preserving image registration on GPUs and multi-threaded CPUs

机译：在GPU和多螺纹CPU上实现多级非rigid质量保留图像配准的有效方法

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Nathan D. Ellingwood; Youbing Yin; Matthew Smith; Ching-Long Lin;
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年度 2016
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1. Efficient methods for implementation of multi-level nonrigid mass-preserving image registration on GPUs and multi-threaded CPUs [J] . Ellingwood Nathan D., Yin Youbing, Smith Matthew, Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2016,第Null期

机译：在GPU和多线程CPU上实现多级非刚性批量保存图像配准的有效方法
2. A matrix-free approach to efficient affine-linear image registration on CPU and GPU [J] . Ruehaak Jan, Koenig Lars, Tramnitzke Florian, Journal of Real-Time Image Processing . 2017,第1期

机译：在CPU和GPU上实现无仿射线性图像配准的无矩阵方法
3. An efficient implementation of 3D high-resolution imaging for large-scale seismic data with GPU/CPU heterogeneous parallel computing [J] . Xu Jincheng, Liu Wei, Wang Jin, Computers & geosciences . 2018,第feba期

机译：GPU / CPU异构并行计算可有效实现大规模地震数据的3D高分辨率成像
4. Efficient Implementation of the Simplex Method on a CPU-GPU System [C] . Lalami Mohamed Esseghir, Boyer Vincent, El-Baz Didier 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum . 2011

机译：在CPU-GPU系统上高效实现Simplex方法
5. Efficient Viewshed Computation Algorithms on GPUs and CPUs [D] . Qarah, Faisal F. 2020

机译：GPU和CPU上有效的viewShed计算算法
6. Efficient methods for implementation of multi-level nonrigid mass-preserving image registration on GPUs and multi-threaded CPUs [O] . Nathan D. Ellingwood, Youbing Yin, Matthew Smith, -1

机译：在GPU和多线程CPU上实现多级非刚性批量保存图像注册的有效方法
7. Implementation of Integrated CPU-GPU for Efficient Uniform Memory Access Method and Verification System [O] . Hyun-moon Park, Jinsan Kwon, Tae-ho Hwang, 2016

机译：用于高效统一内存访问方法和验证系统的集成CPU-GPU的实现

Efficient methods for implementation of multi-level nonrigid mass-preserving image registration on GPUs and multi-threaded CPUs

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