Regularization Methods in Non-Rigid Registration :II. Isotropic Energies, Filters and Splines
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[1] Hervé Delingette,et al. Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis , 1999, IPMI.
[2] P. Kannappan,et al. Rotation invariant separable functions are Gaussian , 1992 .
[3] Daniel Rueckert,et al. Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.
[4] Colin Studholme,et al. An overlap invariant entropy measure of 3D medical image alignment , 1999, Pattern Recognit..
[5] Patrick Pérez,et al. Medical Image Registration with Robust Multigrid Techniques , 1999, MICCAI.
[6] A. Khotanzad,et al. A physics-based coordinate transformation for 3-D image matching , 1997, IEEE Transactions on Medical Imaging.
[7] H. Jeffreys. On isotropic tensors , 1973 .
[8] Karl Rohr,et al. Approximating Thin-Plate Splines for Elastic Registration: Integration of Landmark Errors and Orientation Attributes , 1999, IPMI.
[9] G. Marchal,et al. Multi-modal volume registration by maximization of mutual information , 1997 .
[10] Fabrice Heitz,et al. Robust voxel similarity metrics for the registration of dissimilar single and multimodal images , 1999, Pattern Recognit..
[11] Amir A. Amini,et al. Comparison of Land-Mark-Based and Curve-Based Thin-Plate Warps for Analysis of Left-Ventricular Motion from Tagged MRI , 1999, MICCAI.
[12] X. Pennec,et al. 3D non-rigid registration by gradient descent on a Gaussian-windowed similarity measure using convolutions , 2000, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis. MMBIA-2000 (Cat. No.PR00737).
[13] Demetri Terzopoulos,et al. Regularization of Inverse Visual Problems Involving Discontinuities , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] R. Deriche. Recursively Implementing the Gaussian and its Derivatives , 1993 .
[15] M I Miller,et al. Mathematical textbook of deformable neuroanatomies. , 1993, Proceedings of the National Academy of Sciences of the United States of America.
[16] O. Faugeras,et al. A variational approach to multi-modal image matching , 2001, Proceedings IEEE Workshop on Variational and Level Set Methods in Computer Vision.
[17] Ron Kikinis,et al. 3D Image Matching Using a Finite Element Based Elastic Deformation Model , 1999, MICCAI.
[18] Anthony J. Yezzi,et al. A Curve Evolution Approach to Medical Image Magnification via the Mumford-Shah Functional , 2000, MICCAI.
[19] R. Lakes. Foam Structures with a Negative Poisson's Ratio , 1987, Science.
[20] Nicholas Ayache,et al. Regularization in Image Non-Rigid Registration: I. Trade-off between Smoothness and Intensity Similarity , 2001 .
[21] Guy Marchal,et al. Automated multi-modality image registration based on information theory , 1995 .
[22] Jean-Francois Mangin,et al. Multisubject Non-rigid Registration of Brain MRI Using Intensity and Geometric Features , 2001, MICCAI.
[23] Jürgen Weese,et al. Gray-Value Based Registration of CT and MR Images by Maximization of Local Correlation , 1999, MICCAI.
[24] Christian Barillot,et al. Bayesian approach to the brain image matching problem , 1995, Medical Imaging.
[25] Michael Brady,et al. Rotationally symmetric operators for surface interpolation , 1983, Comput. Vis. Graph. Image Process..
[26] H. Weyl. The Classical Groups , 1940 .
[27] N. Ayache,et al. Multimodal Image Registration by Maximization of the Correlation Ratio , 1998 .
[28] David J. Hawkes,et al. Voxel similarity measures for 3-D serial MR brain image registration , 1999, IEEE Transactions on Medical Imaging.
[29] R. Deriche,et al. Regularization and Scale Space , 1994 .
[30] Jean Duchon,et al. Interpolation des fonctions de deux variables suivant le principe de la flexion des plaques minces , 1976 .