On the non-uniform complexity of brain connectivity

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Volumn , Issue , 2008, Pages 887-890

  Haro, Gloria ^a   Lenglet, Christophe ^a   Sapiro, Guillermo ^a   Thompson, Paul ^a  

^a NONE

Author keywords

Clustering methods; Density measurement; Point processes; Poisson processes; Unsupervised learning

Indexed keywords

CLUSTERING METHODS; DENSITY MEASUREMENT; POINT PROCESSES; POISSON PROCESSES; UNSUPERVISED LEARNING;

CHLORINE COMPOUNDS;

EID: 51049093985     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2008.4541139     Document Type: Conference Paper

References (15)

1. P.J. Basser, J. Mattiello, and D. Le Bihan, "Estimation of the effective self-diffusion tensor from the NMR spin echo," Journal of Magnetic Resonance, vol. B, no. 103, pp. 247-254, 1994.
2. M. Descoteaux, E. Angelino, S. Fitzgibbons, and R. Deriche, "Regularized, fast and robust analytical Q-Ball imaging," Magnetic Resonance in Medicine, vol. 58, no. 3, pp. 497-510, 2007.
3. L.R. Frank, "Characterization of anisotropy in high angular resolution diffusion-weighted MRI," Magnetic Resonance in Medicine, vol. 47, pp. 1083-1099, 2002.
4. E. Ozarslan and T. Mareci, "Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution imaging," Magnetic Resonance in Medicine, vol. 50, pp. 955-965, 2003.
5. M. Rao, Y. Chen, B.C. Vemuri, and F. Wang, "Cumulative residual entropy: A new measure of information," IEEE Transactions on Medical Imaging, vol. 50, pp. 1220-1228, 2004.
6. D. Tuch, "Q-Ball imaging," Magnetic Resonance in Medicine, vol. 52, pp. 1358-1372, 2004.
7. S.P. Awate, H. Zhang, and J.C. Gee, "A fuzzy, nonparametric segmentation framework for DTI and MRI analysis: With applications to DTI tract extraction," IEEE Transactions on Medical Imaging, vol. 26, no. 11, pp. 1525-1536, 2007.
8. C. Lenglet, M. Rousson, R. Deriche, and O. Faugeras, "Statistics on the manifold of multivariate normal distributions: Theory and application to diffusion tensor MRI processing," Journal of Mathematical Imaging and Vision, August 2006.
9. R. Verma, P. Khurd, and C. Davatzikos, "On analyzing diffusion tensor images by identifying manifold structure using isomaps," IEEE Transactions on Medical Imaging, vol. 26, no. 6, pp. 772-778, 2007.
10. D.Wassermann, M. Descoteaux, and R. Deriche, "Diffusion maps clustering for magnetic resonance Q-Ball imaging," International Journal of Biomedical Imaging, 2007.
11. G. Haro, G. Randall, and G. Sapiro, "Translated poisson mixture model for stratification learning," Tech. Rep. 2174, IMA Report, University of Minnesota, http://www.ima.umn.edu/preprints/jul2007/jul2007.html, 2007.
12. E. Levina and P.J. Bickel, "Maximum likelihood estimation of intrinsic dimension," in NIPS 17, Vancouver, 2005.
13. R. Vidal, Y. Ma, and J. Piazzi, "A new GPCA algorithm for clustering subspaces by fitting, differentiating and dividing polynomials," in Proceedings of CVPR, 2004, pp. 769-775.
14. D. L. Snyder and M. I. Miller, Random Point Processes in Time and Space, Springer-Verlag, 1991.
15. E.O. Stejskal and J.E. Tanner, "Spin diffusion measurements: spin echoes in the presence of a time-dependent field gradient," Journal of Chemical Physics, vol. 42, pp. 288-292, 1965.