Brechbühler C - Search Results

1

Parametric estimate of intensity inhomogeneities applied to MRI.

Styner M, Brechbühler C, Székely G, Gerig G. Styner M, et al. Among authors: brechbuhler c. IEEE Trans Med Imaging. 2000 Mar;19(3):153-65. doi: 10.1109/42.845174. IEEE Trans Med Imaging. 2000. PMID: 10875700

2

Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models.

Székely G, Kelemen A, Brechbühler C, Gerig G. Székely G, et al. Among authors: brechbuhler c. Med Image Anal. 1996 Mar;1(1):19-34. doi: 10.1016/s1361-8415(01)80003-7. Med Image Anal. 1996. PMID: 9873919

3

Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM.

Styner M, Oguz I, Xu S, Brechbühler C, Pantazis D, Levitt JJ, Shenton ME, Gerig G. Styner M, et al. Among authors: brechbuhler c. Insight J. 2006;(1071):242-250. Insight J. 2006. PMID: 21941375 Free PMC article.

4

[Automatic measurement of dye filling of simultaneous digital ICG- and fluorescein angiography sequences].

Török B, Hirschi R, Székely G, Brechbühler C, Blass L, Barabás K, Bischoff P. Török B, et al. Among authors: brechbuhler c. Klin Monbl Augenheilkd. 2000 May;216(5):268-71. doi: 10.1055/s-2000-10558. Klin Monbl Augenheilkd. 2000. PMID: 10863690 German.

5

Modelling of soft tissue deformation for laparoscopic surgery simulation.

Székely G, Brechbühler C, Hutter R, Rhomberg A, Ironmonger N, Schmid P. Székely G, et al. Among authors: brechbuhler c. Med Image Anal. 2000 Mar;4(1):57-66. doi: 10.1016/s1361-8415(00)00002-5. Med Image Anal. 2000. PMID: 10972321

6

Virtual reality based surgery simulation for endoscopic gynaecology.

Székely G, Bajka M, Brechbühler C, Dual J, Enzler R, Haller U, Hug J, Hutter R, Ironmonger N, Kauer M, Meier V, Niederer P, Rhomberg A, Schmid P, Schweitzer G, Thaler M, Vuskovic V, Tröster G. Székely G, et al. Among authors: brechbuhler c. Stud Health Technol Inform. 1999;62:351-7. Stud Health Technol Inform. 1999. PMID: 10538385

7

Gene co-expression network topology provides a framework for molecular characterization of cellular state.

Carter SL, Brechbühler CM, Griffin M, Bond AT. Carter SL, et al. Among authors: brechbuhler cm. Bioinformatics. 2004 Sep 22;20(14):2242-50. doi: 10.1093/bioinformatics/bth234. Epub 2004 May 6. Bioinformatics. 2004. PMID: 15130938

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