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Statistical Improvement of FMRI by Wavelet Denoising
Gadi Goetmanl,
Saleem Zaroubi
Physics
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Dive into the research topics of 'Statistical Improvement of FMRI by Wavelet Denoising'. Together they form a unique fingerprint.
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Keyphrases
Principal Coordinate Analysis (PCoA)
100%
Denoising
100%
Functional Magnetic Resonance Imaging
100%
Wavelet Denoising
100%
Magnetic Resonance Imaging
66%
Cross-correlation Analysis
66%
Activation Sites
66%
Cross-correlation Maps
66%
Signal-to-noise Ratio
33%
Signal-to-noise
33%
Low SNR
33%
Correlation Map
33%
Noise Reduction
33%
Number of pixels
33%
Orthogonal Set
33%
Data Combination
33%
Denoising Algorithm
33%
Noise Suppression
33%
Gaussian White Noise
33%
Wavelet Application
33%
De-noising Scheme
33%
Noise Decoupling
33%
Discrete Wavelet Transform
33%
Post-processing Techniques
33%
Suppression Mechanism
33%
Gradient Echo Sequences
33%
Needle Electrode
33%
Urethane
33%
Slice Thickness
33%
Hindlimb
33%
SNR Improvement
33%
Cortex
33%
Similarity Relation
33%
Deep Structure
33%
Surface Coil
33%
Mathematics
Variance
100%
Wavelet Denoising
100%
Crosscorrelation
80%
Principal Component Analysis
60%
Correlation Analysis
40%
Postprocessing
20%
Gaussian Distribution
20%
Wavelet
20%
Thresholding
20%
Noise Ratio
20%
Discrete Wavelet Transform
20%
Statistical Approach
20%
Original Set
20%
Orthogonal (Sets)
20%
Direct Consequence
20%
Neuroscience
Functional Magnetic Resonance Imaging
100%
Ethyl Carbamate
33%
Signal-to-Noise Ratio
33%