Alzheimer's disease (AD) is a neurodegenerative disorder that causes memory degradation
and cognitive function impairment in elderly people. The irreversible and devastating …

Artificial intelligence (AI) is a major branch of computer science that is fruitfully used for
analyzing complex medical data and extracting meaningful relationships in datasets, for …

The diagnosis of early stages of Alzheimer's disease (AD) is essential for timely treatment to
slow further deterioration. Visualizing the morphological features for early stages of AD is of …

Ageing is associated with various ailments including Alzheimer's disease (AD), which is a
progressive form of dementia. AD symptoms develop over a period of years and …

It is of great significance to apply deep learning for the early diagnosis of Alzheimer's
disease (AD). In this work, a novel tensorizing GAN with high-order pooling is proposed to …

Alzheimer's disease is becoming common in the world with the time. It is an irreversible and
progressive brain disorder that slowly destroys the memory and thinking skills and …

Human activity recognition (HAR) using inertial motion data has gained a lot of momentum
in recent years both in research and industrial applications. From the abstract perspective …

Using multimodal neuroimaging data to characterize brain network is currently an advanced
technique for Alzheimer's disease (AD) Analysis. Over recent years the neuroimaging …

The state-of-the-art deep learning methods have demonstrated impressive performance in
segmentation tasks. However, the success of these methods depends on a large amount of …

Advances in applied machine learning techniques for neuroimaging have encouraged
scientists to implement models to diagnose brain disorders such as Alzheimer's disease at …