Works matching IS 17483018 AND DT 2016 AND VI 10 AND IP 4
Results: 11
A new augmented Lagrangian primal dual algorithm for elastica regularization.
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- Journal of Algorithms & Computational Technology, 2016, v. 10, n. 4, p. 325, doi. 10.1177/1748301816668044
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- Article
An improved model for joint segmentation and registration based on linear curvature smoother.
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- Journal of Algorithms & Computational Technology, 2016, v. 10, n. 4, p. 314, doi. 10.1177/1748301816668027
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- Article
Stabilised bias field: segmentation with intensity inhomogeneity.
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- Journal of Algorithms & Computational Technology, 2016, v. 10, n. 4, p. 302, doi. 10.1177/1748301816668025
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- Article
Visualizing whole-body treatment response heterogeneity using multi-parametric magnetic resonance imaging.
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- Journal of Algorithms & Computational Technology, 2016, v. 10, n. 4, p. 290, doi. 10.1177/1748301816668024
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- Article
A fast Total Variation-based iterative algorithm for digital breast tomosynthesis image reconstruction.
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- Journal of Algorithms & Computational Technology, 2016, v. 10, n. 4, p. 277, doi. 10.1177/1748301816668022
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- Article
Special Issue - Mathematical Imaging.
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- Journal of Algorithms & Computational Technology, 2016, v. 10, n. 4, p. 211, doi. 10.1177/1748301816677896
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- Article
An effective variational model for simultaneous reconstruction and segmentation of blurred images.
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- Journal of Algorithms & Computational Technology, 2016, v. 10, n. 4, p. 244, doi. 10.1177/1748301816660406
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- Article
Primal-dual method to smoothing TV-based model for image denoising.
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- Journal of Algorithms & Computational Technology, 2016, v. 10, n. 4, p. 235, doi. 10.1177/1748301816656298
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- Article
Vessel tree extraction using radius-lifted keypoints searching scheme and anisotropic fast marching method.
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- Journal of Algorithms & Computational Technology, 2016, v. 10, n. 4, p. 224, doi. 10.1177/1748301816656289
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- Publication type:
- Article
A practical guideline for T<sub>1</sub> reconstruction from various flip angles in MRI.
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- Journal of Algorithms & Computational Technology, 2016, v. 10, n. 4, p. 213, doi. 10.1177/1748301816656288
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- Article
A new image deconvolution method with fractional regularisation.
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- Journal of Algorithms & Computational Technology, 2016, v. 10, n. 4, p. 265, doi. 10.1177/1748301816660439
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- Article