Alzheimer's disease (AD) is an irreversible neurological disorder that affects the vast
majority of dementia cases, leading patients to experience gradual memory loss and …

Alzheimer's disease (AD) is an irreversible, progressive brain disorder that slowly destroys
memory and thinking skills. It is one of the leading types of dementia for persons aged above …

This paper introduces a new methodology for Alzheimer disease (AD) classification based
on TensorFlow Convolu-tional Neural Network (TF-CNN). The network consists of three …

In the last few years, there has been a growing expectation created about the analysis of
large amounts of data often available in organizations, which has been both scrutinized by …

Attempt to diagnose Alzheimer's disease (AD) using imaging modalities is one of the scopes
of deep learning. While considering the theoretical background from past studies, we are …

Parkinson's Disease is a neurodegenerative disease that affects the aging population and is
caused by a progressive loss of dopaminergic neurons in the substantia nigra pars …

Convolutional neural network (CNN) models have recently demonstrated impressive
performance in medical image analysis. However, there is no clear understanding of why …

Alzheimer's disease (AD) is one of the most important causes of mortality in elderly people,
and it is often challenging to use traditional manual procedures when diagnosing a disease …

The subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led
many researchers to explore ways to automate the process to make it more objective and to …

Visualizing and interpreting convolutional neural networks (CNNs) is an important task to
increase trust in automatic medical decision making systems. In this study, we train a 3D …