Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …

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 …

The epilepsies are commonly accompanied by widespread abnormalities in cerebral white
matter. ENIGMA-Epilepsy is a large quantitative brain imaging consortium, aggregating data …

Purpose Diffusion weighted MRI imaging (DWI) is often subject to low signal‐to‐noise ratios
(SNRs) and artifacts. Recent work has produced software tools that can correct individual …

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 …

Epilepsy is a common and serious neurological disorder, with many different constituent
conditions characterized by their electro clinical, imaging, and genetic features. MRI has …

The goal of the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) Stroke
Recovery working group is to understand brain and behavior relationships using well …

Artificial intelligence has recently gained popularity across different medical fields to aid in
the detection of diseases based on pathology samples or medical imaging findings. Brain …

The ENIGMA group on Generalized Anxiety Disorder (ENIGMA‐Anxiety/GAD) is part of a
broader effort to investigate anxiety disorders using imaging and genetic data across …

A comprehensive characterization of the brain's white matter is critical for improving our
understanding of healthy and diseased aging. Here we used diffusion-weighted magnetic …