Diffeomorphic Iterative Centroid Methods for Template Estimation on Large Datasets

Author:

Cury Claire,Glaunès Joan Alexis,Colliot Olivier

Publisher

Springer International Publishing

Reference27 articles.

1. Grenander, U., Miller, M.I.: Computational anatomy: an emerging discipline. Q. Appl. Math. 56(4), 617–694 (1998)

2. Christensen, G.E., Rabbitt, R.D., Miller, M.I.: Deformable templates using large deformation kinematics. IEEE Trans. Image Process. 5(10), 1435–1447 (1996)

3. Beg, M.F., Miller, M.I., Trouvé, A., Younes, L.: Computing large deformation metric mappings via geodesic flows of diffeomorphisms. Int. J. Comput. Vision 61(2), 139–157 (2005)

4. Vaillant, M., Miller, M.I., Younes, L., Trouvé, A.: Statistics on diffeomorphisms via tangent space representations. Neuroimage 23, S161–S169 (2004)

5. Glaunès, J., Joshi, S.: Template estimation from unlabeled point set data and surfaces for computational anatomy. In: Pennec, X., Joshi, S., (eds.) Proceedings of the International Workshop on the Mathematical Foundations of Computational Anatomy (MFCA-2006), pp. 29–39, 1 Oct 2006

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