The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Rician Noise Removal by Non-Local Means Filtering for Low Signal-to-Noise Ratio MRI: Applications to DT-MRI
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Cites
Spin Diffusion Measurements: Spin Echoes in the Presence of a Time-Dependent Field Gradient
Stejskal, E. O., & Tanner, J. E. (1965) · The Journal of Chemical Physics · doi:10.1063/1.1695690 · Cited by 8,286
A Review of Image Denoising Algorithms, with a New One
Buades, A., Coll, B., & Morel, J. M. (2005) · Multiscale Modeling & Simulation · doi:10.1137/040616024 · Cited by 4,083
A Riemannian Framework for Tensor Computing
Pennec, X., Fillard, P., & Ayache, N. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-005-3222-z · Cited by 1,550
An Optimized Blockwise Non Local Means Denoising Filter for 3D Magnetic Resonance Images
Barillot, C., Inserm, H. I., & Barillot, C. (2007) · Cited by 1,207
Self-citationRESTORE: Robust estimation of tensors by outlier rejection
Chang, L., Jones, D. K., & Pierpaoli, C. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20426 · Cited by 606
MRI denoising using Non-Local Means
MANJON, J., CARBONELLCABALLERO, J., LULL, J., GARCIAMARTI, G., MARTIBONMATI, L., & ROBLES, M. (2008) · Medical Image Analysis · doi:10.1016/j.media.2008.02.004 · Cited by 575
Active Surface Approach for Extraction of the Human Cerebral Cortex from MRI
Eskildsen, S. F., & Østergaard, L. R. (2006) · Lecture Notes in Computer Science · doi:10.1007/11866763_101 · Cited by 446
(2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-75757-3 · Cited by 431
(2005) · Lecture Notes in Computer Science · doi:10.1007/11566489 · Cited by 403
Fast and Simple Calculus on Tensors in the Log-Euclidean Framework
Arsigny, V., Fillard, P., Pennec, X., & Ayache, N. (2005) · Lecture Notes in Computer Science · doi:10.1007/11566465_15 · Cited by 286
Cited by
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
Jones, D. K., Knösche, T. R., & Turner, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.081 · Cited by 2,402
Adaptive non‐local means denoising of MR images with spatially varying noise levels
Manjón, J. V., Coupé, P., Martí‐Bonmatí, L., Collins, D. L., & Robles, M. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22003 · Cited by 1,082
Self-citationThe sensitivity of diffusion MRI to microstructural properties and experimental factors
Afzali, M., Pieciak, T., Newman, S., Garyfallidis, E., Özarslan, E., Cheng, H., & Jones, D. K. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108951 · Cited by 117
Girard, G., Caminiti, R., Battaglia-Mayer, A., St-Onge, E., Ambrosen, K. S., Eskildsen, S. F., Krug, K., Dyrby, T. B., Descoteaux, M., Thiran, J.-P., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117201 · Cited by 83
Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal Means
Gal, Y., Mehnert, A. J. H., Bradley, A. P., McMahon, K., Kennedy, D., & Crozier, S. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2026575 · Cited by 78
Metadata
- Authors
- Wiest-Daesslé, N., Prima, S., Coupé, P., Morrissey, S. P., & Barillot, C.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008
- Volume
- 11
- Issue
- Pt 2
- Pages
- 171-179
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1593077517
- Cited by
- 276
- References
- 22
- FWCI
- 12.82
- Type
- conference paper
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Rician Noise Removal by Non-Local Means Filtering for Low Signal-to-Noise Ratio MRI: Applications to DT-MRI. https://app.cochat.ai/papers/10.1007/978-3-540-85990-1_21
- The paper
- Wiest-Daesslé, N., Prima, S., Coupé, P., Morrissey, S. P., & Barillot, C. (2008). Rician Noise Removal by Non-Local Means Filtering for Low Signal-to-Noise Ratio MRI: Applications to DT-MRI. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-85990-1_21
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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.