Thanks to its safety and accessibility, magnetic resonance imaging (MRI) is extensively used
in clinical routine and research field, largely contributing to our understanding of the …

Abstract Multi-atlas segmentation (MAS), first introduced and popularized by the pioneering
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming …

Multi-atlas segmentation is an effective approach for automatically labeling objects of
interest in biomedical images. In this approach, multiple expert-segmented example images …

A randomized, double-blind, placebo-controlled, 52-week study (no. NCT03068468)
evaluated gosuranemab, an anti-tau monoclonal antibody, in the treatment of progressive …

Detailed whole brain segmentation is an essential quantitative technique in medical image
analysis, which provides a non-invasive way of measuring brain regions from a clinical …

Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing,
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …

Many neurological diseases and delineating pathological regions have been analyzed, and
the anatomical structure of the brain researched with the aid of magnetic resonance imaging …

Clinical annotations, such as voxel-wise binary or probabilistic tissue segmentations,
structural parcellations, pathological regions-of-interest and anatomical landmarks are key …

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 …

Feature selection is a critical step in deformable image registration. In particular, selecting
the most discriminative features that accurately and concisely describe complex …