- Harmonizing Multisite Neuroimaging Data for Characterization of ...🔍
- Characterization of the effects of outliers on ComBat harmonization ...🔍
- Harmonization of Multi|site Cortical Data Across the Human Lifespan🔍
- A deep learning|based multisite neuroimage harmonization ...🔍
- "Harmonizing Multisite Neuroimaging Data for Characterization of ...🔍
- A Toolbox for Harmonizing Multi|site Brain Imaging for Big|data Era🔍
- Harmonization of multi|site functional MRI data with dual|projection ...🔍
- Learning multi|site harmonization of magnetic resonance images ...🔍
Harmonizing Multisite Neuroimaging Data for Characterization of ...
Harmonizing Multisite Neuroimaging Data for Characterization of ...
https://www.frontiersin.org/articles/10.3389/fneur.2022.850642/full https://github.com/Jfortin1/neuroCombat The analysis of large, multisite ...
Characterization of the effects of outliers on ComBat harmonization ...
Data harmonization is a key step widely used in multisite neuroimaging studies to remove inter-site heterogeneity of data distribution.
Harmonization of Multi-site Cortical Data Across the Human Lifespan
Neuroimaging data harmonization has become a prerequisite in integrative data analytics for standardizing a wide variety of data collected ...
A deep learning-based multisite neuroimage harmonization ...
We proposed a DL-based bidirectional framework (Fig. 1a) for neuroimaging data harmonization, which enables the transfer of imaging data from a ...
"Harmonizing Multisite Neuroimaging Data for Characterization of ...
"Harmonizing Multisite Neuroimaging Data for Characterization of Brain Networks" Onicas et al. 2022.
A Toolbox for Harmonizing Multi-site Brain Imaging for Big-data Era
It is designed to harmonize resting-state functional Magnetic Resonance Imaging (rs-fMRI) data across different centers, accounting for site- ...
Harmonization of multi-site functional MRI data with dual-projection ...
As a result, multi-site fMRI studies are becoming increasingly common to increase the power of statistical analyses to detect group differences, longitudinal ...
Learning multi-site harmonization of magnetic resonance images ...
Harmonization improves Magn. Reson. Imaging (MRI) data consistency and is central to effective integration of diverse imaging data acquired ...
A Toolbox for Harmonizing Multi-site Brain Imaging for Big-data Era
Pooling multi-site datasets is the dominant trend to expand sample sizes in neuroimaging field, thereby enhancing statistical power and ...
Harmonization of Multi-Site Neuroimaging Data from Complex Study ...
Our group, among many others, has shown that these differences often dwarf biological differences of interest measured using both structural and functional MRI.
Harmonization of large MRI datasets for the analysis of brain ...
We define harmonization as the explicit removal of site-related effects in multi-site data. Through the lifespan, the brain structure changes as a result of a ...
Comparison of Multi-site Neuroimaging Data Harmonization ...
Using a multi-site neuroimaging dataset composed of healthy controls and bipolar disorder subjects, we compared the efficacy of site harmonization based on ...
Efficacy of MRI data harmonization in the age of machine learning
Pooling publicly-available MRI data from multiple sites allows to assemble extensive groups of subjects, increase statistical power, ...
Multisite harmonization of diffusion tensor image analysis along the ...
This study included multisite diffusion magnetic resonance imaging (dMRI) data of 45 patients with Alzheimer's disease (AD) and 82 cognitively ...
A deep learning-based multisite neuroimage harmonization ...
Here, we proposed a deep learning-based framework to harmonize imaging data from pairs of sites, in which site factors and brain features can be ...
Methods in Neuroimaging Data Harmonization - Frontiers
Neuroimaging data harmonization aims to standardize and integrate data collected across multiple sites, allowing for robust and reliable analysis while ...
Volumetric Analysis from a Harmonized Multisite Brain MRI Study of ...
MATERIALS AND METHODS: All imaging was acquired on Siemens scanners (4 Skyra, 2 Tim Trio, and 1 Verio). Expert segmentations were manually ...
Characterization of the effects of outliers on ComBat harmonization ...
PDF | Data harmonization is a key step widely used in multisite neuroimaging studies to remove inter-site heterogeneity of data distribution ...
Multi-Scanner Harmonization of Paired Neuroimaging Data via ...
Combining datasets from multiple sites/scanners has been becoming increasingly more prevalent in modern neu- roimaging studies.
Fixing inconsistent MRI data using image harmonization - YouTube
VJNeurology · Harmonizing Multisite Neuroimaging Data for Characterization of Brain Networks · Data driven interference in diffusion MRI: DL ...