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Mathematical methods for diffusion MRI processing.
Neuroimage. 2009 Mar;45(1 Suppl):S111-22. doi: 10.1016/j.neuroimage.2008.10.054. Epub 2008 Nov 13.
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Boosting the sampling efficiency of q-Ball imaging using multiple wavevector fusion.
Magn Reson Med. 2007 Feb;57(2):289-96. doi: 10.1002/mrm.21090.
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Development and initial evaluation of 7-T q-ball imaging of the human brain.
Magn Reson Imaging. 2008 Feb;26(2):171-80. doi: 10.1016/j.mri.2007.05.011. Epub 2007 Aug 9.
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Multiple-fiber reconstruction algorithms for diffusion MRI.
Ann N Y Acad Sci. 2005 Dec;1064:113-33. doi: 10.1196/annals.1340.018.
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Optimal real-time Q-ball imaging using regularized Kalman filtering with incremental orientation sets.
Med Image Anal. 2009 Aug;13(4):564-79. doi: 10.1016/j.media.2009.05.008. Epub 2009 Jun 12.
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Segmentation of Q-Ball images using statistical surface evolution.
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Generalized q-sampling imaging.
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Q-ball reconstruction of multimodal fiber orientations using the spherical harmonic basis.
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Demystifying the Role of Neuroinflammatory Mediators as Biomarkers for Diagnosis, Prognosis, and Treatment of Alzheimer's Disease: A Review.
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A taxonomic guide to diffusion MRI tractography visualization tools.
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Neuroimaging modalities in the detection of Alzheimer's disease-associated biomarkers.
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Tractography Processing with the Sparse Closest Point Transform.
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Molecular and Imaging Biomarkers in Alzheimer's Disease: A Focus on Recent Insights.
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The impact of position-orientation adaptive smoothing in diffusion weighted imaging-From diffusion metrics to fiber tractography.
PLoS One. 2020 May 20;15(5):e0233474. doi: 10.1371/journal.pone.0233474. eCollection 2020.
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Network curvature as a hallmark of brain structural connectivity.
Nat Commun. 2019 Oct 30;10(1):4937. doi: 10.1038/s41467-019-12915-x.
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Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI.
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Neuroimaging Biomarkers for Alzheimer's Disease.
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MULTIVARIATE VARIANCE-COMPONENTS ANALYSIS IN DTI.
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本文引用的文献

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A Graph Cut Approach to Image Segmentation in Tensor Space.
Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2008:1-8. doi: 10.1109/CVPR.2007.383404.
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Labeling of ambiguous subvoxel fibre bundle configurations in high angular resolution diffusion MRI.
Neuroimage. 2008 May 15;41(1):58-68. doi: 10.1016/j.neuroimage.2008.01.028. Epub 2008 Feb 1.
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Diffusion maps clustering for magnetic resonance q-ball imaging segmentation.
Int J Biomed Imaging. 2008;2008:526906. doi: 10.1155/2008/526906.
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Representing diffusion MRI in 5-D simplifies regularization and segmentation of white matter tracts.
IEEE Trans Med Imaging. 2007 Nov;26(11):1547-54. doi: 10.1109/TMI.2007.899168.
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A fuzzy, nonparametric segmentation framework for DTI and MRI analysis: with applications to DTI-tract extraction.
IEEE Trans Med Imaging. 2007 Nov;26(11):1525-36. doi: 10.1109/TMI.2007.907301.
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Probabilistic inference on Q-ball imaging data.
IEEE Trans Med Imaging. 2007 Nov;26(11):1515-24. doi: 10.1109/TMI.2007.907297.
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Clinical DT-MRI estimation, smoothing, and fiber tracking with log-Euclidean metrics.
IEEE Trans Med Imaging. 2007 Nov;26(11):1472-82. doi: 10.1109/TMI.2007.899173.
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A unified computational framework for deconvolution to reconstruct multiple fibers from diffusion weighted MRI.
IEEE Trans Med Imaging. 2007 Nov;26(11):1464-71. doi: 10.1109/TMI.2007.907552.
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Probabilistic streamline q-ball tractography using the residual bootstrap.
Neuroimage. 2008 Jan 1;39(1):215-22. doi: 10.1016/j.neuroimage.2007.08.021. Epub 2007 Aug 25.
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Regularized, fast, and robust analytical Q-ball imaging.
Magn Reson Med. 2007 Sep;58(3):497-510. doi: 10.1002/mrm.21277.

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