Recently, several high dimensional classification methods have been proposed to
automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive …

BACKGROUND: Medial temporal lobe (MTL) atrophy is one of the key biomarkers to detect
early neurodegenerative changes in the course of Alzheimer's disease (AD). There is active …

The role of structural brain magnetic resonance imaging (MRI) is becoming more and more
emphasized in the early diagnostics of Alzheimer's disease (AD). This study aimed to assess …

High-dimensional classification approaches have been widely used to investigate magnetic
resonance imaging (MRI) data for automatic classification of Alzheimer's disease (AD). This …

In this work we use a large scale regularization approach based on penalized logistic
regression to automatically classify structural MRI images (sMRI) according to cognitive …

In recent years, several high-dimensional, accurate, and effective classification methods
have been proposed for the automatic discrimination of the subject between Alzheimer's …

Automated structural magnetic resonance imaging (MRI) processing pipelines and different
multivariate techniques are gaining popularity for Alzheimer's disease (AD) research. We …

In this study, we investigate multi-scale features extracted from baseline structural magnetic
resonance imaging (MRI) for classifying patients with mild cognitive impairment (MCI), who …

Numerous machine learning (ML) approaches have been proposed for automatic
classification of Alzheimer's disease (AD) from brain imaging data. In particular, over 30 …

OBJECTIVE: To develop and validate a tool for Alzheimer's disease (AD) diagnosis in
individual subjects using support vector machine (SVM)-based classification of structural MR …