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Cited by 1,719

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms

Beg, M. Faisal, Miller, Michael I., Trouvé, Alain, Younes, Laurent·2005·International Journal of Computer Vision

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Citations

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Show all 2 references

Research works printed but not linked: 16

  1. Amit, Y. 1994. A nonlinear variational problem for image matching. SIAM Journal on Scientific Computing, 15(1):207-224. · DOI · Paper page
  2. Bajcsy, R. and Broit, C. 1982. Matching of deformed images. In Proc. 6th Int. Joint Conf Patt. Recog., pp. 351-353.
  3. Bajcsy, R., Lieberson, R., and Reivich, M. 1983. A computerized system for the elastic matching of deformed radiographic images to idealized atlas images. Journal of Computer Assisted Tomogra-phy, 7(4):618-625. · DOI · Paper page
  4. Broit, C. 1981. Optimal registration of deformed images. PhD thesis,University of Pennsylvania.
  5. Do Carmo, M.P 1993. Riemannian Geometry. Birkhauser. · doi:10.1007/978-1-4757-2201-7
  6. Christensen, G.E., Rabbitt, R.D., and Miller, M.I. 1996. Deformable templates using large deformation kinematics. IEEE Transactions on Image Processing, 5(10):1435-1447. · DOI · Paper page
  7. Christensen, G. 1994. Deformable shape models for anatomy. PhD Thesis, Dept. of Electrical Engineering, Sever Institute of Tech-nology, Washington Univ., St. Louis, MO.
  8. Grenander, U. and Miller, M.I. 1998. Computational anatomy: An emerging discipline. Quarterly of Applied Mathematics, 56:617-694. · DOI · Paper page
  9. Miller, M.I., Trouv6, A., and Younes, L. 2002. On the metrics and Euler-Lagrange equations of computational anatomy. Annual Re-view of Biomedical Engineering, 4:375-405. · DOI · Paper page
  10. Miller, M.I. and Younes, L. 2001. Group actions, homeomorphisms, and matching: A general framework. International Journal of Computer Vision, 41:61-84. · DOI · Paper page
  11. Morton, K.W. and Mayers, D.E 1996. Numerical Solution of Partial Differential Equations. Cambridge University Press, University of Cambridge.
  12. Robb, R.A. 1999. Biomedical Imaging, Vizualization and Analysis. John Wiley and Sons, Inc., New York, NY.
  13. Staniforth, A. and C6t6, J. 1991. Semi-lagrangian integration schemes for atmospheric models-a review. Monthly Weather Re-view, 119:2206-2223. · DOI · Paper page
  14. Trouvé, A. 1995. An infinite dimensional group approach for physics based models in patterns recognition. Preprint.
  15. Trouvé, A. 1998. Diffeomorphic groups and pattern matching in image analysis. Int. J. Computer Vision, 28:213-221 · DOI · Paper page
  16. Younes, L. 1999. Optimal matching between shapes via elastic deformations. Image and Vision Computing, 17:381-389. · doi:10.1016/s0262-8856(98)00125-5

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Metadata

Authors
Beg, M. F., Miller, M. I., Trouvé, A., & Younes, L.
Venue
International Journal of Computer Vision
Published
2005-02
Volume
61
Issue
2
Pages
139-157
ISSN
  • 0920-5691 (ISSN-L)
  • 1573-1405
OpenAlex
W2170167891
Cited by
1,719
References
2
FWCI
22.42
Type
journal article
Language
en
Open access
closed
Licence

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CoChat. (2026). Citation check: Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms. https://app.cochat.ai/papers/10.1023/b:visi.0000043755.93987.aa
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Beg, M. F., Miller, M. I., Trouvé, A., & Younes, L. (2005). Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms. International Journal of Computer Vision. https://doi.org/10.1023/b%3Avisi.0000043755.93987.aa

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.