Machine learning algorithms and multivariate data analysis methods have been widely
utilized in the field of Alzheimer's disease (AD) research in recent years. Advances in …

Purpose MRI is integral to the diagnosis of multiple sclerosis (MS) and is important for
clinical prognostication. Quantitative volumetric reporting tools (QReports) can improve the …

Reliable quantification of white matter hyperintensities of presumed vascular origin (WMHs)
is increasingly needed, given the presence of these MRI findings in patients with several …

White matter hyperintensities (WMH) are a feature of sporadic small vessel disease also
frequently observed in magnetic resonance images (MRI) of healthy elderly subjects. The …

Introduction The segmentation and volumetric quantification of white matter (WM) lesions
play an important role in monitoring and studying neurological diseases such as multiple …

White matter hyperintensities (WMHs) have been associated with various cerebrovascular
and neurodegenerative diseases. Reliable quantification of WMHs is essential for …

We present 'UBO Detector', a cluster-based, fully automated pipeline for extracting and
calculating variables for regions of white matter hyperintensities (WMH)(available for …

Multiple sclerosis (MS) is an inflammatory disorder of the central nervous system. By
combining longitudinal MRI-based brain morphometry and brain age estimation using …

Objective: Increased variability in cognition with age has been argued as an indication of
pathological processes. Focusing on early detection of neurodegenerative disorders, we …

White matter hyperintensities (WMHs) are a common manifestation of cerebral small vessel
disease, that is increasingly studied with large, pooled multicenter datasets. This data …