The U-shaped network is one of the end-to-end convolutional neural networks (CNNs). In
electron microscope segmentation of ISBI challenge 2012, the concise architecture and …

Normal and abnormal brains can be segmented by registering the target image with an
atlas. Here, an atlas is defined as the combination of an intensity image (template) and its …

Purpose To investigate whether the blood-brain barrier (BBB) leaks blood-circulating
substances in patients with early forms of Alzheimer disease (AD), and if so, to examine the …

Importance Cerebral microbleeds are hypothesized downstream markers of brain damage
caused by vascular and amyloid pathologic mechanisms. To date, whether their presence is …

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 …

The anatomical location of imaging features is of crucial importance for accurate diagnosis
in many medical tasks. Convolutional neural networks (CNN) have had huge successes in …

Background and Purpose—We previously reported on the high prevalence of cerebral
microbleeds (CMBs) in community-dwelling people aged 60 years and older. Moreover, we …

Objective To investigate the link between blood-brain-barrier (BBB) permeability and
cerebral blood flow (CBF) and the relation with white matter hyperintensities (WMH) in …

Objective: To investigate whether dementia incidence has changed over the last 2 decades.
Methods: We compared dementia incidence in 2 independent subcohorts of persons aged …

With aging, the brain undergoes several structural changes. These changes reflect the
normal aging process and are therefore not necessarily pathologic. In fact, better …