The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Statistics on the Manifold of Multivariate Normal Distributions: Theory and Application to Diffusion Tensor MRI Processing
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Citations
Cites
Le Bihan, D., Breton, E., Lallemand, D., Grenier, P., Cabanis, E., & Laval-Jeantet, M. (1986) · Radiology · doi:10.1148/radiology.161.2.3763909 · Cited by 3,912
Riemannian center of mass and mollifier smoothing
Karcher, H. (1977) · Communications on Pure and Applied Mathematics · doi:10.1002/cpa.3160300502 · Cited by 995
Probability, Convexity, and Harmonic Maps with Small Image I: Uniqueness and Fine Existence
Kendall, W. S. (1990) · Proceedings of the London Mathematical Society · doi:10.1112/plms/s3-61.2.371 · Cited by 281
Cited by
Dipy, a library for the analysis of diffusion MRI data
Garyfallidis, E., Brett, M., Amirbekian, B., Rokem, A., van der Walt, S., Descoteaux, M., Nimmo-Smith, I., & Contributors, D. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00008 · Cited by 1,371
“…meth-ods have been implemented, including non-linear least-squares, ordinary least-squares, and weighted least-squares fitting (Chung et al., 2006) as well as Riemannian modeling-based techniques that assure that the estimated tensor is positive definite (Arsigny et al., 2006; Lenglet et al., 2006).”
MethodGeometric Means in a Novel Vector Space Structure on Symmetric Positive‐Definite Matrices
Arsigny, V., Fillard, P., Pennec, X., & Ayache, N. (2007) · SIAM Journal on Matrix Analysis and Applications · doi:10.1137/050637996 · Cited by 819
Transfer Learning: A Riemannian Geometry framework with applications to Brain-Computer Interfaces
Zanini, P., Congedo, M., Jutten, C., Said, S., & Berthoumieu, Y. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2742541 · Cited by 412
Metadata
- Authors
- Lenglet, C., Rousson, M., Deriche, R., & Faugeras, O.
- Venue
- Journal of Mathematical Imaging and Vision
- Published
- 2006-08-29
- Volume
- 25
- Issue
- 3
- Pages
- 423-444
- ISSN
- 0924-9907 (ISSN-L)
- 1573-7683
- OpenAlex
- W2044981864
- Cited by
- 253
- References
- 3
- FWCI
- 15.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Lenglet, C., Rousson, M., Deriche, R., & Faugeras, O. (2006). Statistics on the Manifold of Multivariate Normal Distributions: Theory and Application to Diffusion Tensor MRI Processing. Journal of Mathematical Imaging and Vision. https://doi.org/10.1007/s10851-006-6897-z
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.