Alzheimer's Disease (AD) is the most prevalent and rapidly progressing neurodegenerative
disorder among the elderly and is a leading cause of dementia. AD results in significant …

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that mainly affects
memory and other cognitive functions, such as thinking, reasoning, and the ability to carry …

Background Alzheimer's disease (AD) is a prevalent neurodegenerative disorder that poses
a worldwide public health challenge. A neuroimaging biomarker would significantly improve …

Alzheimer's disease (AD) is a degenerative neurological disorder with incurable
characteristics. To identify the substantial solution, we used a structural biomarker (structural …

Convolutional neural networks (CNNs) have been widely used in medical imaging
applications, including brain diseases such as Alzheimer's disease (AD) classification based …

Due to the absence of definitive treatment for Alzheimer's disease (AD), slowing its
development is essential. Accurately predicting the conversion of mild cognitive impairment …

In the ever-evolving landscape of deep learning (DL), the transformer model emerges as a
formidable neural network architecture, gaining significant traction in neuroimaging-based …

Objective. Chest x-ray image representation and learning is an important problem in
computer-aided diagnostic area. Existing methods usually adopt CNN or Transformers for …

Alzheimer's disease is a debilitating neurological disorder that affects the central nervous
system, causing significant disruption to cognitive processes. Predominantly afflicting the …

This paper explores cognitive interface technology, aiming to tackle current challenges and
shed light on the prospects of brain-computer interfaces (BCIs). It provides a comprehensive …