Automated segmentation of brain white matter lesions is crucial for both clinical assessment
and scientific research in multiple sclerosis (MS). Over a decade ago, we introduced an …

Previous research has linked specific modifiable lifestyle factors to age-related cognitive
decline in adults. Little is known about the potential role of an overall healthy lifestyle in …

Despite the superior performance of Deep Learning (DL) on numerous segmentation tasks,
the DL-based approaches are notoriously overconfident about their prediction with highly …

An important step in the analysis of magnetic resonance imaging (MRI) data for
neuroimaging is the automated segmentation of white matter hyperintensities (WMHs). Fluid …

White matter lesions (WML) commonly occur in older brains and are quantifiable on MRI,
often used as a biomarker in Aging research. Although algorithms are regularly proposed …

Abstract Study Objectives Mounting evidence indicated the correlation between sleep and
cerebral small vessel disease (CSVD). However, little is known about the exact causality …

White matter hyperintensities (WMHs) are well‐established markers of cerebral small vessel
disease, and are associated with an increased risk of stroke, dementia, and mortality …

Since the ambiguous boundary of the lesion and inter-observer variability, white matter
hyperintensity segmentation annotations are inherently noisy and uncertain. On the other …

White matter hyperintensities (WMHs) are lesions in the white matter of the brain that are
associated with cognitive decline and an increased risk of dementia. The manual …

White matter hyperintensities (WMH) are commonly found in the brains of healthy elderly
individuals and have been associated with various neurological and geriatric disorders …