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 …

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 …

The purpose of this work was to evaluate changes in the connectivity patterns of a set of
cognitively relevant, dynamically interrelated brain networks in association with cognitive …

Ischemic stroke lesion and white matter hyperintensity (WMH) lesion appear as regions of
abnormally signal intensity on magnetic resonance image (MRI) sequences. Ischemic stroke …

Objectives Medical image analysis practices face challenges that can potentially be
addressed with algorithm-based segmentation tools. In this study, we map the field of …

In neuroimaging studies, pathologies can present themselves as abnormal intensity
patterns. Thus, solutions for detecting abnormal intensities are currently under investigation …

Objectives African Americans are at greater risk for developing Alzheimer's disease (AD)
dementia than non‐Hispanic whites. In addition to biological considerations (eg, genetic …

Background: It is still unknown if serum glial fibrillary acidic protein (GFAP) is a useful marker
in frontotemporal lobar degeneration (FTLD). Objective: To assess the diagnostic and …

Many medical image segmentation methods are based on the supervised classification of
voxels. Such methods generally perform well when provided with a training set that is …

Segmentation of human brain using structural MRI is a key step of processing in imaging
neuroscience. The methods have undergone a rapid development in the past two decades …