Classically, model‐based segmentation procedures match magnetic resonance imaging
(MRI) volumes to an expertly labeled atlas using nonlinear registration. The accuracy of …

One of the most common tasks in small rodents MRI pipelines is the voxel-wise
segmentation of the volume in multiple classes. While many segmentation schemes have …

Today, The cloud industry is adopting the container technology both for internal usage and
as commercial offering. The use of containers as base technology for large-scale systems …

Brain extraction is an important preprocessing step for further processing (eg, registration
and morphometric analysis) of brain MRI data. Due to the operator-dependent and time …

The segmentation of acute stroke lesions plays a vital role in healthcare by assisting doctors
in making prompt and well-informed treatment choices. Although Magnetic Resonance …

Statistical shape models (SSM) are used to introduce shape priors in the segmentation of
medical images. However, such models require large training datasets in the case of multi …

Mouse models of human diseases play crucial roles in understanding disease mechanisms
and developing therapeutic measures. Huntington's disease (HD) is characterized by striatal …

One of the core pathological features of Alzheimer's disease (AD) is the accumulation of
amyloid plaques in the brain. Current efforts of medical imaging research aim at visualizing …

Although many atlas-based segmentation methods have been developed and validated for
the human brain, limited work has been done for the mouse brain. This paper investigated …

Skull-stripping and region segmentation are fundamental steps in preclinical magnetic
resonance imaging (MRI) studies, and these common procedures are usually performed …