The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors
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Citations
Cites
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970
Differential Geometry, Lie Groups, and Symmetric Spaces
Helgason, S. (2001) · Graduate Studies in Mathematics · doi:10.1090/gsm/034 · Cited by 5,433
Medical image analysis: progress over two decades and the challenges ahead
Duncan, J. S., & Ayache, N. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.824822 · Cited by 4,140
Diffusion tensor imaging: Concepts and applications
Le Bihan, D., Mangin, J., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1076 · Cited by 3,547
An Introduction to Differentiable Manifolds and Riemannian Geometry
(1975) · Pure and Applied Mathematics · doi:10.1016/s0079-8169(08)x6065-9 · Cited by 1,778
Riemannian center of mass and mollifier smoothing
Karcher, H. (1977) · Communications on Pure and Applied Mathematics · doi:10.1002/cpa.3160300502 · Cited by 995
Spatial transformations of diffusion tensor magnetic resonance images
Alexander, D. C., Pierpaoli, C., Basser, P. J., & Gee, J. C. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.963816 · Cited by 610
Les éléments aléatoires de nature quelconque dans un espace distancié
Fréchet, M. (1948) · French digital mathematics library (Numdam) · Cited by 573
Parametric and non-parametric statistical analysis of DT-MRI data
Pajevic, S., & Basser, P. J. (2003) · Journal of Magnetic Resonance · doi:10.1016/s1090-7807(02)00178-7 · Cited by 162
Statistics of shape via principal geodesic analysis on Lie groups
Fletcher, P. T., Lu, C., & Joshi, S. (2003) · 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings. · doi:10.1109/cvpr.2003.1211342 · Cited by 161
Self-citation
Cited by
Multiclass Brain–Computer Interface Classification by Riemannian Geometry
Barachant, A., Bonnet, S., Congedo, M., & Jutten, C. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2172210 · Cited by 878
Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach
He, H., & Wu, D. (2020) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2913914 · Cited by 569
“A causal band-pass filter (50-order linear phase Hamming window FIR filter designed by Matlab function fir1, with 6 dB cut-off frequencies at [8, 30] Hz) was applied to remove muscle artifacts, line-noise contamination and DC drift.”
BackgroundMethodDiffusion-Tensor MR Imaging and Tractography: Exploring Brain Microstructure and Connectivity
Nucifora, P. G. P., Verma, R., Lee, S.-K., & Melhem, E. R. (2007) · Radiology · doi:10.1148/radiol.2452060445 · Cited by 344
Riemannian geometry applied to BCI classification
Barachant, A., Bonnet, S., Congedo, M., & Jutten, C. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15995-4_78 · Cited by 233
Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis
COROUGE, I., FLETCHER, P., JOSHI, S., GOUTTARD, S., & GERIG, G. (2006) · Medical Image Analysis · doi:10.1016/j.media.2006.07.003 · Cited by 177
Self-citation
Metadata
- Authors
- Fletcher, P. T., & Joshi, S.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2004
- Pages
- 87-98
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1947363732
- Cited by
- 259
- References
- 14
- FWCI
- 75.97
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Fletcher, P. T., & Joshi, S. (2004). Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-27816-0_8
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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.
