Diffusion MRI

Harmonization of diffusion MRI datasets with adaptive dictionary learning
Diffusion weighted magnetic resonance imaging is a noninvasive imaging technique which can indirectly infer the microstructure of …
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Harmonization of diffusion MRI datasets with adaptive dictionary learning
Automated characterization of noise distributions in diffusion MRI data
Knowledge of the noise distribution in diffusion MRI is the centerpiece to quantify uncertainties arising from the acquisition process. …
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Automated characterization of noise distributions in diffusion MRI data
Automated characterization of noise distributions in diffusion MRI data
Estimate any noise distribution from magnitude data only
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Automated characterization of noise distributions in diffusion MRI data
Restoration and characterization of diffusion MRI data
Diffusion magnetic resonance imaging (dMRI) is an imaging technique to obtain information about the microstructural properties of …
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Restoration and characterization of diffusion MRI data
Diffusion profile realignment
Making your along-tract analysis reliable
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Diffusion profile realignment
Reducing variability in along-tract analysis with diffusion profile realignment
Diffusion weighted MRI (dMRI) provides a non invasive virtual reconstruction of the brain’s white matter structures through …
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Reducing variability in along-tract analysis with diffusion profile realignment
Obtaining representative core streamlines for white matter tractometry of the human brain
Diffusion MRI infers information about the micro-structural architecture of the brain by probing the diffusion of water molecules. The …
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Obtaining representative core streamlines for white matter tractometry of the human brain
Non Local Spatial and Angular Matching (NLSAM) denoising
Denoising for diffusion MRI using dictionary learning
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Non Local Spatial and Angular Matching (NLSAM) denoising
Non Local Spatial and Angular Matching: Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising
Diffusion magnetic resonance imaging datasets suffer from low Signal-to-Noise Ratio, especially at high b-values. Acquiring data at …
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Non Local Spatial and Angular Matching: Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?
Diffusion magnetic resonance imaging (dMRI) is the modality of choice for investigating in-vivo white matter connectivity and neural …
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Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?