article Open AccessTop 1% cited
Denoising of diffusion MRI using random matrix theory
NeuroImage · 2016 · Vol. 142 · pp. 394–406
Jelle Veraart✉(University of Antwerp)Dmitry S. Novikov(New York University)Daan Christiaens(KU Leuven)Benjamin Ades‐Aron(New York University)Jan Sijbers(University of Antwerp)Els Fieremans(New York University)
Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsMRI in cancer diagnosisDiffusion MRINoise reductionRedundancy (engineering)Computer scienceNoise (video)DiffusionAlgorithmSIGNAL (programming language)CovarianceCovariance matrix
MeSH terms
Data Interpretation, StatisticalHumansImage Processing, Computer-AssistedPrincipal Component AnalysisDiffusion Magnetic Resonance ImagingWhite Matter
Funding
- National Institute of Neurological Disorders and Stroke
Citations
1,957
FWCI
58.08
field-weighted impact
References
72
Percentile
100%
vs. same field & year
Citations per year
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