[HTML][HTML] Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization
Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
Fluid ejections in nature
From microscopic fungi to colossal whales, fluid ejections are universal and intricate
phenomena in biology, serving vital functions such as animal excretion, venom spraying …
phenomena in biology, serving vital functions such as animal excretion, venom spraying …
[HTML][HTML] Cross-site harmonization of multi-shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH)
Quantification methods based on the acquisition of diffusion magnetic resonance imaging
(dMRI) with multiple diffusion weightings (eg, multi-shell) are becoming increasingly applied …
(dMRI) with multiple diffusion weightings (eg, multi-shell) are becoming increasingly applied …
[HTML][HTML] Determining the OPTIMAL DTI analysis method for application in cerebral small vessel disease
Background DTI is sensitive to white matter (WM) microstructural damage and has been
suggested as a surrogate marker for phase 2 clinical trials in cerebral small vessel disease …
suggested as a surrogate marker for phase 2 clinical trials in cerebral small vessel disease …
[HTML][HTML] Multimodal tract-based MRI metrics outperform whole brain markers in determining cognitive impact of small vessel disease-related brain injury
In cerebral small vessel disease (cSVD), whole brain MRI markers of cSVD-related brain
injury explain limited variance to support individualized prediction. Here, we investigate …
injury explain limited variance to support individualized prediction. Here, we investigate …
Evaluation of mean shift, ComBat, and CycleGAN for harmonizing brain connectivity matrices across sites
Connectivity matrices derived from diffusion MRI (dMRI) provide an interpretable and
generalizable way of understanding the human brain connectome. However, dMRI suffers …
generalizable way of understanding the human brain connectome. However, dMRI suffers …
[HTML][HTML] Improved sensitivity and precision in multicentre diffusion MRI network analysis using thresholding and harmonization
Purpose To investigate if network thresholding and raw data harmonization improve
consistency of diffusion MRI (dMRI)-based brain networks while also increasing precision …
consistency of diffusion MRI (dMRI)-based brain networks while also increasing precision …
Cross-site harmonization of diffusion MRI data without matched training subjects
Diffusion MRI (dMRI) data typically suffer of marked cross-site variability, which prevents
naively performing pooled analyses. To attenuate cross-site variability, harmonization …
naively performing pooled analyses. To attenuate cross-site variability, harmonization …