Developments in neuroradiological MRI analysis offer promise in enhancing objectivity and
consistency in dementia diagnosis through the use of quantitative volumetric reporting tools …

Abstract The Advanced Normalizations Tools ecosystem, known as ANTsX, consists of
multiple open-source software libraries which house top-performing algorithms used …

Myelin water imaging is a quantitative neuroimaging technique that provides the myelin
water fraction (MWF), a metric highly specific to myelin content, and the intra-/extra-cellular …

Over the past decade, there has been an abundance of research on the difference between
age and age predicted using brain features, which is commonly referred to as the “brain age …

Deep learning for three dimensional (3D) abdominal organ segmentation on high-resolution
computed tomography (CT) is a challenging topic, in part due to the limited memory provide …

Background Substantial evidence supports an association between physical activity and
cognitive function. However, the role of muscle mass and function in brain structural …

An imbalance of TNF signalling in the inflammatory milieu generated by meningeal immune
cell infiltrates in the subarachnoid space in multiple sclerosis (MS), and its animal model …

Brain parcellations play a ubiquitous role in the analysis of magnetic resonance imaging
(MRI) datasets. Over 100 years of research has been conducted in pursuit of an ideal brain …

Whole brain segmentation is an important neuroimaging task that segments the whole brain
volume into anatomically labeled regions-of-interest. Convolutional neural networks have …

Atypical responses to fearful stimuli and the presence of various forms of anxiety are
commonly seen in children with autism spectrum disorder (ASD). The fear potentiated startle …