Biomedical Engineering Reference
In-Depth Information
44. Herbert M, Ziegler D, Makris N, Filipek P, Kemper T, Normandin J, Sanders HA, Kennedy D,
Caviness VJ. 2004. Localization of white matter volume increase in autism and developmental
language disorder. Ann Neurol 55 :530-540.
45. Lainhart JE, Lazar M, Bigler E, Alexander A. 2005. The brain during life in autism: ad-
vances in neuroimaging research. In Recent advances in autism research , pp. 57-108. Ed MF
Casanova. New York: NOVA Biomedical.
46. Bauman ML, Kemper TL. 1990. Limbic and cerebellar abnormalities are also present in an
autistic child of normal intelligence. Neurology 40 :359.
47. Bauman ML, Kemper TL. 1994. Neuroanatomic observations of the brain in autism. In The
neurobiology of autism , pp. 119-145. Ed ML Bauman, TL Kemper TL. Baltimore: Johns
Hopkins UP.
48. Schumann CM, Buonocore HM, Amaral DG. 2001. Magnetic resonance imaging of the post-
mortem autistic brain. J Autism Dev Disord 31 (6):561-568.
49. Osher S, Sethian J. 1988. Fronts propagating with curvature speed: algorithms based on
Hamilton-Jacobi formulations. J Comput Phys 79 :12-49.
50. Chan T, Sandberg B, Vese L. 2000. Active contours without edges for vector valued images.
J Vis Commun Image Represent , 2 :130-141.
51. Zaho H-K, Chan T, Merriman B, Osher S. 1996. A variational level set approach to multiphase
motion. J Comp Phys 127 :179-195.
52. Zeng X, Staib LH, Duncan JS. 1998. Volumetric layer segmentation using coupled surface
propagation. In Proceedings of the IEEE conference on computer vision and pattern recog-
nition (CVPR) , pp. 179-195. Washington, DC: IEEE Computer Society.
53. Farag AA, El-Baz A, Gimelfarb G. 2004. Precise image segmentation by iterative em-based
approximation of empirical gray level distribution with linear combination of gaussians. In
IEEE international workshop on learning in computer vision and pattern recognition , pp.
121-129. Washington, DC: IEEE Computer Society.
54. Farag AA, Hassan H. 2004. Adaptive segmentation of multi-modal 3d data using robust level
set techniques. In Proceedings of the 7th international conference onmedical image computing
and computer-assisted intervention (MICCAI'2004) . Lecture notes in computer science , Vol.
2306, pp. 169-176. New York: Springer.
55. Goldenberg R, Kimmel R, Rivlin E, RudzskyM. 2002. Cortex segmentation: a fast variational
geometric approach. IEEE Trans Med Imaging 21 (2):1544-1551.
56. Geusebroek M, Burghouts G, Smeulders A. 2005. The Amsterdam library of object images.
Int J Comput Vis 61 (1):103-112.
57. Cerveny V. 1995. Ray synthetic seismograms for complex two- and three-dimensional struc-
tures. Am J Geophys 58 :2-26.
58. Vidale JE. 1990. Finite-difference calculation of traveltimes in three dimensions. Geophysics
55 :521-526.
59. VanTrier J, SymesWW. 1991. Upwind finite-difference calculation of traveltimes. Geophysics
56 :812-821.
60. Podvin P, and Lecomte I. 1991. Finite-difference computation of traveltimes in very con-
trasted velocity models: a massively parallel approach and its associated tools. Geophys J Int
105 :271-284.
61.
Adalsteinsson D, and Sethian J. 1995. A fast level set method for propagating interfaces.
J Comput Phys 118 :269-277.
62. Kim S. 1999. ENO-DNO-PS: a stable, second-order accuracy eikonal solver. J Soc Explor
Geophys 28 :1747-1750.
63. Sethian J. 1999. Level sets methods and fast marching methods: evolving interfaces in com-
putational geometry, fluid mechanics, computer vision, and materials science , 2nd ed. Cam-
bridge: Cambridge UP.
64. Kimmel R, and Sethian JA. 1998. Fast marching methods on triangulated domains. Proc Natl
Acad Sci USA 95 (11):8341-8435.
Search WWH ::




Custom Search