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Bibliography

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1
M. Beauchemin and K. P. B. Thomson, ``The evaluation of segmentation results and the overlapping area matrix,'' International Journal of Remote Sensing, 18(18):3895-3899, 1997.

2
W. R. Crum, T Hartkens and D. L. G. Hill, ``Non-rigid image registration: theory and practice,'' British Journal of Radiology, vol. 77, pp. 140-153, 2004.

3
B. Zitová and J. Flusser, ``Image registration methods: A survey,'' Image and Vision Computing, vol. 21, pp. 977 - 1000, 2003.

4
P. Hellier, C. Barillot, I. Corouge, B. Giraud, G. L. Goualher, L. Collins, A. Evans, G. Malandain, and N. Ayache, ``Retrospective evaluation of inter-subject brain registration,'' in Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI), Lecture Notes in Computer Science, vol. 2208. Springer, 2001, pp. 258-265.

5
D.W. Shattuck, S.R. Sandor-Leahy, K.A. Schaper, D.A. Rottenberg and R.M. Leahy, ``Magnetic resonance image tissue classification using a partial volume model,'' NeuroImage, vol. 13, pp. 856-876, 2001.

6
P. Rogelj, S. Kovacic, and J. C. Gee, ``Validation of a nonrigid registration algorithm for multimodal data,'' in Proceedings of Medical Imaging 2002, Image Processing, SPIE Proceedings, vol. 4684, 2002, pp. 299-307.

7
J. A. Schnabel, C. Tanner, A. Castellano-Smith, A. Degenhard, M. O. Leach, D.R. Hose, D. L. G. Hill, and D. J. Hawkes, ``Validation of non-rigid registration using finite element methods: Application to breast MR images,'' in IEEE Transactions on Medical Imaging, vol. 22(2):238-247, 2003

8
W. R. Crum, O. Camara, D. Rueckert, K. Bhatia, M. Jenkinson, and D. L. G. Hill., ``Generalised overlap measures for assessment of pairwise and groupwise image registration and segmentation,'' in Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI), Lecture Notes in Computer Science, vol. 3749. Springer, 2005, pp. 99-106.

9
T. Cootes, G. Edwards, and C. Taylor, ``Active appearance models,'' in Proceedings of the European Conference on Computer Vision (ECCV), Lecture Notes in Computer Science, vol. 1407.Springer, 1998, pp. 484-498.

10
G. J. Edwards, T. F. Cootes, and C. J. Taylor, ``Face recognition using active appearance models,'' in Proceedings of European Conference on Computer Vision, Lecture Notes in Computer Science, vol. 2.Springer, 1998, pp. 581-595.

11
A. F. Frangi, D. Rueckert, J. A. Schnabel, and W. J. Niessen, ``Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modelling,'' IEEE Trans. Med. Imag., vol. 21, pp. 1151-1166, 2002.

12
D. Rueckert, A. F. Frangi, and J. A. Schnabel, ``Automatic construction of 3-d statistical deformation models of the brain using nonrigid registration,'' IEEE Trans. Med. Imag., vol. 22, no. 8, pp. 1014-1025, 2003.

13
M. B. Stegmann, B. K. Ersboll, and R. Larsen, ``FAME - a flexible appearance modeling environment,'' IEEE Trans. Med. Imag., vol. 22, no. 10, pp. 1319-1331, 2003.

14
M. B. Stegmann, ``Analysis of 4d cardiac magnetic resonance images,'' Journal of The Danish Optical Society, vol. 4, pp. 38-39, 2001.

15
I. Joliffe, Principal component analysis.New York: Springer, 1986.

16
C. J. Twining, T. F. Cootes, S. Marsland, V. Petrovic, R. Schestowitz, and C. J. Taylor, ``A unified information-theoretic approach to groupwise non-rigid registration and model building.'' in Proceedings of Information Processing in Medical Imaging (IPMI), Lecture Notes in Computer Science, vol. 3565.Springer, 2005, pp. 1-14.

17
R. H. Davies, C. J. Twining, T. F. Cootes, J. C. Waterton, and C. J. Taylor, ``A minimum description length approach to statistical shape modeling,'' IEEE Trans. Med. Imag., vol. 21, no. 5, pp. 525-537, 2002.

18
L. Wang, Y. Zhang, and J. Feng, ``On the euclidean distance of images,'' IEEE Trans. Pattern Anal. Machine Intell., vol. 27, pp. 1334-1339, 2005.

19
K. N. Kutulakos, ``Approximate n-view stereo,'' in Proceedings of the European Conference on Computer Vision (ECCV), Lecture Notes in Computer Science, vol. 1842.Springer, 2000, pp. 67-83.

20
C. J. Twining, S. Marsland, and C. J. Taylor, ``Measuring geodesic distances on the space of bounded diffeomorphims,'' in Proceedings of the British Machine Vision Conference (BMVC'02), 2002.

21
T. F. Cootes, S. Marsland, C. J. Twining, K. Smith, and C. J. Taylor, ``Groupwise diffeomorphic non-rigid registration for automatic model building,'' in Proceedings of European Conference on Computer Vision (ECCV), Lecture Notes in Computer Science, vol. 2034.Springer, 2004, pp. 316-327.

22
J. Rissanen, Stochastic Complexity in Statistical Inquiry.World Scientific Press, 1989.

23
T. F. Cootes, C. J. Twining, V. Petrovic, R. Schestowitz, and C. J. Taylor, ``Groupwise Construction of Appearance Models using Piece-wise Affine Deformations.'' in Proceedings of the British Machine Vision Conference (BMVC'04), Kingston UK, 2004.

24
E. G. Miller, N. E. Matsakis and P. A. Viola, ``Learning from one example through shared densities on transforms,'' in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Volume 1, 2000, pp. 464-471.

25
L. Zollei, E. Learned-Miller, E. Grimson and W. Wells, ``Efficient population registration of 3D data,'' in Workshop on Computer Vision for Biomedical Image Applications: International Conference of Computer Vision (ICCV05), 2005.



Roy Schestowitz 2007-03-11