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 …

Graph theory allows assessing changes of neuronal connectivity and interactions of brain
regions in response to local lesions, eg, after stroke, and global perturbations, eg, due to …

We investigated the contributions of commensal bacteria to brain structural maturation by
magnetic resonance imaging and behavioral tests in four and 12 weeks old C57BL/6J …

Purpose Dynamic contrast‐enhanced MRI (DCE‐MRI) represents the only available
approach for glymphatic cerebrospinal fluid (CSF) flow 3D mapping in the brain of living …

The validation of automated image registration and segmentation is crucial for accurate and
reliable mapping of brain connectivity and function in three-dimensional (3D) data sets …

Objectives Atlas-based segmentation is a powerful method for automatic structural
segmentation of several sub-structures in many organs. However, such an approach has …

Nervous system injury is a frequent result of cancer therapy involving cranial irradiation,
leaving patients with marked memory and other neurobehavioral disabilities. Here, we …

Purpose: The aim of this study was to assess whether clinically acceptable segmentations of
organs at risk (OARs) in head and neck cancer can be obtained automatically and efficiently …

Huntingtin (HTT)-lowering therapies show great promise in treating Huntington's disease.
We have developed a microRNA targeting human HTT that is delivered in an adeno …

Purpose To develop a deep learning–based approach to reduce the scan time of multipool
CEST MRI for Parkinson's disease (PD) while maintaining sufficient prediction accuracy …