The use of convolutional neural networks (CNNs) has allowed accurate white matter (WM)
tract segmentation on diffusion magnetic resonance imaging (dMRI). To train the CNN …

Experiencing decline in one's cognitive abilities is among the most feared aspects of
growing old [53]. Age-related cognitive decline carries a huge personal, societal, and …

Convolutional neural networks have achieved state-of-the-art performance for white matter
(WM) tract segmentation based on diffusion magnetic resonance imaging (dMRI). However …

A novel biomarker panel was proposed to quantify macro and microstructural biomarkers
from the normal-appearing brain matter (NABM) in multicentre fluid-attenuation inversion …

Aging-related periventricular white matter hyperintensities (pvWMHs) are a common
observation in medical images of the aging brain. The underlying tissue damage is part of …

White matter hyperintensity (WMH) lesions on T2 fluid‐attenuated inversion recovery
(FLAIR) magnetic resonance imaging (MRI) and changes in adjacent normal‐appearing …

Introduction White matter injury (WMI) significantly affects neurobehavioral recovery in
intracerebral hemorrhage (ICH) patients. Gut dysbiosis plays an important role in the …

Purpose White matter hyperintensity lesions (WMHL) in the brain are a consequence of
cerebral small vessel disease and microstructural damage. Patients with WMHL have …

White matter hyperintensities (WMHs) are associated with age-related cognitive impairment
and increased risk of Alzheimer's disease. However, the manner by which WMHs contribute …

White matter (WM) free water (FW) is a potential imaging marker for cerebral small vessel
disease (CSVD). This study aimed to characterize longitudinal changes in WM FW and …