Multi-modal volume registration by maximization of mutual information

[1]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[2]  G. Marchal,et al.  Multi-modal volume registration by maximization of mutual information , 1997 .

[3]  R. Kikinis,et al.  Computer-assisted interactive three-dimensional planning for neurosurgical procedures. , 1996, Neurosurgery.

[4]  Colin Studholme,et al.  Automated 3D Registration of Truncated MR and CT Images of the Head , 1995, BMVC.

[5]  Paul A. Viola,et al.  Alignment by Maximization of Mutual Information , 1995, Proceedings of IEEE International Conference on Computer Vision.

[6]  R. Kikinis,et al.  Superconducting open-configuration MR imaging system for image-guided therapy. , 1995, Radiology.

[7]  Guy Marchal,et al.  3D Multi-Modality Medical Image Registration Using Feature Space Clustering , 1995, CVRMed.

[8]  Nicholas Ayache,et al.  Computer Vision, Virtual Reality and Robotics in Medicine , 1995, Lecture Notes in Computer Science.

[9]  Guy Marchal,et al.  Automated multi-moda lity image registration based on information theory , 1995 .

[10]  Guy Marchal,et al.  Automated multi-modality image registration based on information theory , 1995 .

[11]  Colin Studholme,et al.  Voxel similarity measures for automated image registration , 1994, Other Conferences.

[12]  W. Eric L. Grimson,et al.  An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[13]  S. Hyakin,et al.  Neural Networks: A Comprehensive Foundation , 1994 .

[14]  G. Malandain,et al.  Physically Based Rigid Registration of 3-D Free-Form Objects : application to Medical Imaging , 1994 .

[15]  J. Mazziotta,et al.  MRI‐PET Registration with Automated Algorithm , 1993, Journal of computer assisted tomography.

[16]  Richard A. Robb,et al.  New approach to 3-D registration of multimodality medical images by surface matching , 1992, Other Conferences.

[17]  Geoffrey E. Hinton,et al.  Learning to Make Coherent Predictions in Domains with Discontinuities , 1991, NIPS.

[18]  Nicholas Ayache,et al.  Artificial vision for mobile robots - stereo vision and multisensory perception , 1991 .

[19]  R. Kikinis,et al.  Three-dimensional segmentation of MR images of the head using probability and connectivity. , 1990, Journal of computer assisted tomography.

[20]  C. Pelizzari,et al.  Accurate Three‐Dimensional Registration of CT, PET, and/or MR Images of the Brain , 1989, Journal of computer assisted tomography.

[21]  John S. Bridle,et al.  Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters , 1989, NIPS.

[22]  R Linsker,et al.  From basic network principles to neural architecture: emergence of orientation columns. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[23]  R Linsker,et al.  From basic network principles to neural architecture: emergence of orientation-selective cells. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[24]  R Linsker,et al.  From basic network principles to neural architecture: emergence of spatial-opponent cells. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[25]  R. Linsker,et al.  From basic network principles to neural architecture , 1986 .

[26]  P. Kumar,et al.  Theory and practice of recursive identification , 1985, IEEE Transactions on Automatic Control.

[27]  Edward H. Adelson,et al.  The Laplacian Pyramid as a Compact Image Code , 1983, IEEE Trans. Commun..

[28]  R. Paul Robot Manipulators: Mathematics, Programming, and Control , 1981 .

[29]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[30]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .