Heinrich C - Search Results

1

MR brain tissue classification using an edge-preserving spatially variant Bayesian mixture model.

Sfikas G, Nikou C, Galatsanos N, Heinrich C. Sfikas G, et al. Among authors: heinrich c. Med Image Comput Comput Assist Interv. 2008;11(Pt 1):43-50. doi: 10.1007/978-3-540-85988-8_6. Med Image Comput Comput Assist Interv. 2008. PMID: 18979730

2

Recovery of polarimetric Stokes images by spatial mixture models.

Sfikas G, Heinrich C, Zallat J, Nikou C, Galatsanos N. Sfikas G, et al. Among authors: heinrich c. J Opt Soc Am A Opt Image Sci Vis. 2011 Mar 1;28(3):465-74. doi: 10.1364/JOSAA.28.000465. J Opt Soc Am A Opt Image Sci Vis. 2011. PMID: 21383830

3

Estimation of Mueller matrices using non-local means filtering.

Faisan S, Heinrich C, Sfikas G, Zallat J. Faisan S, et al. Among authors: heinrich c. Opt Express. 2013 Feb 25;21(4):4424-38. doi: 10.1364/OE.21.004424. Opt Express. 2013. PMID: 23481976 Free article.

4

Symmetric nonrigid image registration: application to average brain templates construction.

Noblet V, Heinrich C, Heitz F, Armspach JP. Noblet V, et al. Among authors: heinrich c. Med Image Comput Comput Assist Interv. 2008;11(Pt 2):897-904. doi: 10.1007/978-3-540-85990-1_108. Med Image Comput Comput Assist Interv. 2008. PMID: 18982690

5

Retrospective evaluation of a topology preserving non-rigid registration method.

Noblet V, Heinrich C, Heitz F, Armspach JP. Noblet V, et al. Among authors: heinrich c. Med Image Anal. 2006 Jun;10(3):366-84. doi: 10.1016/j.media.2006.01.001. Epub 2006 Feb 23. Med Image Anal. 2006. PMID: 16497537

This article is to be considered as the companion of [Noblet, V., Heinrich, C., Heitz, F., Armspach, J.-P., 2005. 3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization. ...Medica …

This article is to be considered as the companion of [Noblet, V., Heinrich, C., Heitz, F., Armspach, J.-P., 2005. 3-D deformab …

6

3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization.

Noblet V, Heinrich C, Heitz F, Armspach JP. Noblet V, et al. Among authors: heinrich c. IEEE Trans Image Process. 2005 May;14(5):553-66. doi: 10.1109/tip.2005.846026. IEEE Trans Image Process. 2005. PMID: 15887550

7

A Bayesian approach for polarimetric data reduction: the Mueller imaging case.

Zallat J, Heinrich C, Petremand M. Zallat J, et al. Among authors: heinrich c. Opt Express. 2008 May 12;16(10):7119-33. doi: 10.1364/oe.16.007119. Opt Express. 2008. PMID: 18545415 Free article.

8

Joint filtering estimation of Stokes vector images based on a nonlocal means approach.

Faisan S, Heinrich C, Rousseau F, Lallement A, Zallat J. Faisan S, et al. Among authors: heinrich c. J Opt Soc Am A Opt Image Sci Vis. 2012 Sep 1;29(9):2028-37. doi: 10.1364/JOSAA.29.002028. J Opt Soc Am A Opt Image Sci Vis. 2012. PMID: 23201962

9

Polarimetric data reduction: a Bayesian approach.

Zallat J, Heinrich C. Zallat J, et al. Among authors: heinrich c. Opt Express. 2007 Jan 8;15(1):83-96. doi: 10.1364/oe.15.000083. Opt Express. 2007. PMID: 19532224 Free article.

10

Revisiting the generalized polar decomposition of Mueller matrices.

Heinrich C, Rehbinder J, Zallat J. Heinrich C, et al. J Opt Soc Am A Opt Image Sci Vis. 2020 Aug 1;37(8):1327-1339. doi: 10.1364/JOSAA.394099. J Opt Soc Am A Opt Image Sci Vis. 2020. PMID: 32749267

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