MRI has been an essential diagnostic tool in healthcare for several decades. It offers unique
insights into most tissues without the need for ionising radiation. Historically, MRI has been …

We present cross-metric and cross-tract assessment of test-retest repeatability for
microstructure measures on an ultra strong gradient MRI scanner (CONNECTOM 3T) in the …

Diffusion magnetic resonance imaging (dMRI) datasets are susceptible to several
confounding factors related to data quality, which is especially true in studies involving …

Quantitative MRI (qMRI) has been shown to be clinically useful for numerous applications in
the brain and body. The development of rapid, accurate, and reproducible qMRI techniques …

Background Normative models (NM) of brain metrics based on large populations are
extremely valuable for detecting brain abnormalities in psychiatry and neurology. To …

Purpose There is an increasing availability of large imaging cohorts [such as through The
Cancer Imaging Archive (TCIA)] for computational model development and imaging …

Purpose Diffusion‐weighted imaging allows investigators to identify structural,
microstructural, and connectivity‐based differences between subjects, but variability due to …

Fundamental to increasing our understanding of the role of white matter microstructure in
normal/abnormal function in the living human is the development of MR-based metrics that …

Obtaining reliable data and drawing meaningful and robust inferences from diffusion MRI
can be challenging and is subject to many pitfalls. The process of quantifying diffusion …

Technological advances in magnetic resonance imaging (MRI) have facilitated numerous
studies on neural architecture, such as studies addressing pathology, behaviour or …