Advancements in brain imaging techniques have emerged as a significant tool in detecting
Alzheimer's disease (AD) progression. The complicated cascade of AD progression can be …

Early detection is a crucial goal in the study of Alzheimer's Disease (AD). In this work, we
describe several techniques to boost the performance of 3D convolutional neural networks …

Objectives Neuropsychiatric symptoms (NPS) increase risk of develo** dementia and are
linked to various neurodegenerative conditions, including mild cognitive impairment (MCI …

We examined the association between bilingualism, executive function (EF), and brain
volume in older monolinguals and bilinguals who spoke English, Spanish, or both, and were …

Background: Late-onset or sporadic Alzheimer's disease (sAD) is a neurodegenerative
disease leading to cognitive impairment and memory loss. The underlying pathological …

Volumetric measurements from magnetic resonance imaging (MRI) scans can be used to
predict the future conversion to Alzheimer's disease (AD) for patients with mild cognitive …

The current criteria for diagnosing Alzheimer's disease (AD) require the presence of relevant
cognitive deficits, so the underlying neuropathological damage is important by the time the …

Objective: To assess the progression of volume changes in hippocampus and its subfields of
patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI), and to explore …

[ES] En los últimos años, los investigadores han intentado explotar la información de las
imágenes médicas a través de la evaluación de parámetros cuantitativos para ayudar a los …

Abstract Magnetic Resonance Imaging (MRI) is the standard imaging evaluations in
Alzheimer's Disease (AD). Information regarding hippocampus and entorhinal cortex sizes …