Networks for Joint Affine and Non-Parametric Image Registration

We introduce an end-to-end deep-learning framework for 3D medical image registration. In contrast to existing approaches, our framework combines two registration methods: an affine registration and a vector momentum-parameterized stationary velocity field (vSVF) model. Specifically, it consists of t...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) Ročník 2019; s. 4219 - 4228
Hlavní autori:	Shen, Zhengyang, Han, Xu, Xu, Zhenlin, Niethammer, Marc
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.06.2019
Predmet:	Biological and Cell Microscopy Biomedical imaging Computational modeling Deep Learning ; Optimization Methods Image registration Magnetic resonance imaging Medical Osteoarthritis Pattern recognition Smoothing methods Three-dimensional displays Transforms Vectors
ISSN:	1063-6919, 1063-6919
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