Bourgeat P - Search Results

1

Appearance modeling of 11C PiB PET images: characterizing amyloid deposition in Alzheimer's disease, mild cognitive impairment and healthy aging.

Fripp J, Bourgeat P, Acosta O, Raniga P, Modat M, Pike KE, Jones G, O'Keefe G, Masters CL, Ames D, Ellis KA, Maruff P, Currie J, Villemagne VL, Rowe CC, Salvado O, Ourselin S. Fripp J, et al. Among authors: bourgeat p. Neuroimage. 2008 Nov 15;43(3):430-9. doi: 10.1016/j.neuroimage.2008.07.053. Epub 2008 Aug 12. Neuroimage. 2008. PMID: 18789389

2

The use of unwrapped phase in MR image segmentation: a preliminary study.

Bourgeat P, Fripp J, Janke A, Galloway G, Crozier S, Ourselin S. Bourgeat P, et al. Med Image Comput Comput Assist Interv. 2005;8(Pt 2):813-20. Med Image Comput Comput Assist Interv. 2005. PMID: 16686035

3

MR image segmentation using phase information and a novel multiscale scheme.

Bourgeat P, Fripp J, Stanwell P, Ramadan S, Ourselin S. Bourgeat P, et al. Med Image Comput Comput Assist Interv. 2006;9(Pt 2):920-7. doi: 10.1007/11866763_113. Med Image Comput Comput Assist Interv. 2006. PMID: 17354861

4

MR image segmentation of the knee bone using phase information.

Bourgeat P, Fripp J, Stanwell P, Ramadan S, Ourselin S. Bourgeat P, et al. Med Image Anal. 2007 Aug;11(4):325-35. doi: 10.1016/j.media.2007.03.003. Epub 2007 Mar 30. Med Image Anal. 2007. PMID: 17482502

5

Segmentation of the bones in MRIs of the knee using phase, magnitude, and shape information.

Fripp J, Bourgeat P, Crozier S, Ourselin S. Fripp J, et al. Among authors: bourgeat p. Acad Radiol. 2007 Oct;14(10):1201-8. doi: 10.1016/j.acra.2007.06.021. Acad Radiol. 2007. PMID: 17889337

6

Spline based inhomogeneity correction for 11C-PIB PET segmentation using expectation maximization.

Raniga P, Bourgeat P, Villemagne V, O'Keefe G, Rowe C, Ourselin S. Raniga P, et al. Among authors: bourgeat p. Med Image Comput Comput Assist Interv. 2007;10(Pt 1):228-35. doi: 10.1007/978-3-540-75757-3_28. Med Image Comput Comput Assist Interv. 2007. PMID: 18051063

7

Automatic delineation of sulci and improved partial volume classification for accurate 3D voxel-based cortical thickness estimation from MR.

Acosta O, Bourgeat P, Fripp J, Bonner E, Ourselin S, Salvado O. Acosta O, et al. Among authors: bourgeat p. Med Image Comput Comput Assist Interv. 2008;11(Pt 1):253-61. doi: 10.1007/978-3-540-85988-8_31. Med Image Comput Comput Assist Interv. 2008. PMID: 18979755

8

MR-less high dimensional spatial normalization of 11C PiB PET images on a population of elderly, mild cognitive impaired and Alzheimer disease patients.

Fripp J, Bourgeat P, Raniga P, Acosta O, Villemagne V, Jones G, O'keefe G, Rowe C, Ourselin S, Salvado O. Fripp J, et al. Among authors: bourgeat p. Med Image Comput Comput Assist Interv. 2008;11(Pt 1):442-9. doi: 10.1007/978-3-540-85988-8_53. Med Image Comput Comput Assist Interv. 2008. PMID: 18979777

9

Automated (11)C-PiB standardized uptake value ratio.

Raniga P, Bourgeat P, Fripp J, Acosta O, Villemagne VL, Rowe C, Masters CL, Jones G, O'Keefe G, Salvado O, Ourselin S. Raniga P, et al. Among authors: bourgeat p. Acad Radiol. 2008 Nov;15(11):1376-89. doi: 10.1016/j.acra.2008.07.006. Acad Radiol. 2008. PMID: 18995189

10

The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease.

Ellis KA, Bush AI, Darby D, De Fazio D, Foster J, Hudson P, Lautenschlager NT, Lenzo N, Martins RN, Maruff P, Masters C, Milner A, Pike K, Rowe C, Savage G, Szoeke C, Taddei K, Villemagne V, Woodward M, Ames D; AIBL Research Group. Ellis KA, et al. Int Psychogeriatr. 2009 Aug;21(4):672-87. doi: 10.1017/S1041610209009405. Epub 2009 May 27. Int Psychogeriatr. 2009. PMID: 19470201

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