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Towards a Better Comprehension of Similarity Measures Used in Medical Image Registration
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3D Deformable Image Matching using Multiscale Minimization of Global Energy Functions
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O. Musse, F. Heitz, and J.-P. Armspach. 3D Deformable Image Matching using Multiscale Minimization of Global Energy Functions. In Proc. of CVPR’99, 1999.
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Non-Rigid Registration of Breast MR Images Using Mutual Information
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D. Rueckert, C. Hayes, C. Studholme, P. Summers, M. Leach, and D. J. Hawkes. Non-Rigid Registration of Breast MR Images Using Mutual Information. In Proc. of MICCAI’98, pages 1144–1152, 1998.
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3D Image Matching using a Finite Element Based Elastic Deformation Model
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M. Ferrant, S. K. Warfield, C. R. G. Guttmann, R. V. Mulkern, F. A. Jolesz, and R. Kikinis. 3D Image Matching using a Finite Element Based Elastic Deformation Model. In Proc. of MICCAI’99, pages 202–209, 1999.
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Ferrant, M.1
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Consistent Linear-Elastic Transformations for Image Matching
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G. E. Christensen. Consistent Linear-Elastic Transformations for Image Matching. In Proc. of IPMI’99, pages 224–237, 1999.
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Understanding the ”Demons” Algorithm: 3D Non-Rigid Registration by Gradient Descent
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X. Pennec, P. Cachier, and N. Ayache. Understanding the ”Demons” Algorithm: 3D Non-Rigid Registration by Gradient Descent. In Proc. of MICCAI’99, pages 597–605, 1999. http://www.inria.fr/RRRT/RR-3706.html.
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J. B. A. Maintz and M. A. Viergever. A Survey of Medical Image Registration. Medical Image Analysis, 2(1):1–36, 1998.
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A Biomechanical Model of Soft Tissue Deformation, with Applications to Non-Rigid Registration of Brain Images with Tumor Pathology
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S. K. Kyriacou and C. Davatzikos. A Biomechanical Model of Soft Tissue Deformation, with Applications to Non-Rigid Registration of Brain Images with Tumor Pathology. In Proc. of MICCAI’98, pages 531–538, 1998.
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Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis
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D. Rey, G. Subsol, H. Delingette, and N. Ayache. Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis. In Proc. of IPMI’99, pages 154–167, 1999. http://www.inria.fr/RRRT/RR-3559.html.
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A. Trouv and L. Younes. Diffeomorphicc Matching Problems in One Dimension: Designing and Minimizing Matching Functionals. In Proc. of ECCV’00 Part 1, pages 573–587, 2000.
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Exploring the Discrimination Power of the Time Domain for Segmentation and Characterization of Lesions in Serial MR Data
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G. Gerig, D. Welti, C. Guttmann, A. Colchester, and G. Székely. Exploring the Discrimination Power of the Time Domain for Segmentation and Characterization of Lesions in Serial MR Data. In Proc. of MICCAI’98, pages 469–480, Boston, USA, 1998.
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