[HTML][HTML] Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Removing the bias and variance of multicentre data has always been a challenge in large
scale digital healthcare studies, which requires the ability to integrate clinical features …
scale digital healthcare studies, which requires the ability to integrate clinical features …
Harmonization of brain diffusion MRI: concepts and methods
MS Pinto, R Paolella, T Billiet, P Van Dyck… - Frontiers in …, 2020 - frontiersin.org
MRI diffusion data suffers from significant inter-and intra-site variability, which hinders multi-
site and/or longitudinal diffusion studies. This variability may arise from a range of factors …
site and/or longitudinal diffusion studies. This variability may arise from a range of factors …
[HTML][HTML] Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms
Diffusion MRI is being used increasingly in studies of the brain and other parts of the body
for its ability to provide quantitative measures that are sensitive to changes in tissue …
for its ability to provide quantitative measures that are sensitive to changes in tissue …
Scanner invariant representations for diffusion MRI harmonization
Purpose In the present work, we describe the correction of diffusion‐weighted MRI for site
and scanner biases using a novel method based on invariant representation. Theory and …
and scanner biases using a novel method based on invariant representation. Theory and …
[HTML][HTML] Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results
Cross-scanner and cross-protocol variability of diffusion magnetic resonance imaging
(dMRI) data are known to be major obstacles in multi-site clinical studies since they limit the …
(dMRI) data are known to be major obstacles in multi-site clinical studies since they limit the …
Diffusion mri with machine learning
D Karimi, SK Warfield - Imaging Neuroscience, 2024 - direct.mit.edu
Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique
capabilities including noninvasive probing of tissue microstructure and structural …
capabilities including noninvasive probing of tissue microstructure and structural …
Inter-site harmonization based on dual generative adversarial networks for diffusion tensor imaging: application to neonatal white matter development
Background Site-specific variations are challenges for pooling analyses in multi-center
studies. This work aims to propose an inter-site harmonization method based on dual …
studies. This work aims to propose an inter-site harmonization method based on dual …
A microstructure estimation Transformer inspired by sparse representation for diffusion MRI
Diffusion magnetic resonance imaging (dMRI) is an important tool in characterizing tissue
microstructure based on biophysical models, which are typically multi-compartmental …
microstructure based on biophysical models, which are typically multi-compartmental …
Deep learning estimation of multi-tissue constrained spherical deconvolution with limited single shell DW-MRI
Diffusion-weighted magnetic resonance imaging (DW-MRI) is the only non-invasive
approach for estimation of intravoxel tissue microarchitecture and reconstruction of in vivo …
approach for estimation of intravoxel tissue microarchitecture and reconstruction of in vivo …
Multi-site harmonization of diffusion MRI data via method of moments
Diffusion MRI is a powerful tool for non-invasive probing of brain tissue microstructure.
Recent multi-center efforts in the acquisition and analysis of diffusion MRI data significantly …
Recent multi-center efforts in the acquisition and analysis of diffusion MRI data significantly …