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 …

Alzheimer's disease is one of the most commonly diagnosed cases of senile dementia in the
world. It is an incurable process, most often leading to death. This disease is multifactorial …

Abstract Introduction The Alzheimer's Disease Neuroimaging Initiative (ADNI) has continued
development and standardization of methodologies for biomarkers and has provided an …

Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …

Abstract Background Early diagnosis of Alzheimer's disease (AD) and its onset in subjects
affected by mild cognitive impairment (MCI) based on structural MRI features is one of the …

The hippocampus is a particularly interesting target for neuroscience research studies due
to its essential role within the human brain. In large human cohort studies, bilateral …

MRI has become an indispensable tool for brain volumetric studies, with the hippocampus
an important region of interest. Automation of the MRI segmentation process has helped …

Diffusion tensor imaging (DTI) is a promising imaging technique that provides insight into
white matter microstructure integrity and it has greatly helped identifying white matter …

Automatic segmentation methods are important tools for quantitative analysis of Magnetic
Resonance Images (MRI). Recently, patch-based label fusion approaches have …

The hippocampus is closely related to many brain diseases, such as Alzheimer's disease.
Accurate measurement of the hippocampus is helpful for clinicians in identifying lesions and …