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The confinement tensor model improves characterization of diffusion-weighted magnetic resonance data with varied timing parameters.
Mauro Zucchelli
Maryam Afzali
Cem Yolcu
Carl-Fredrik Westin
Gloria Menegaz
Evren Özarslan
Published in:
ISBI (2016)
Keyphrases
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measured data
input data
image data
probability distribution
synthetic data
statistical methods
high quality
probabilistic model
data points
high order
computer vision
multiscale
dimensionality reduction
em algorithm
parametric models