Medical imaging is a key component in clinical diagnosis, treatment planning and clinical
trial design, accounting for almost 90% of all healthcare data. CNNs achieved performance …

Alzheimer's disease (AD) is a degenerative disorder that leads to progressive, irreversible
cognitive decline. To obtain an accurate and timely diagnosis and detect AD at an early …

Imaging genetics is a crucial tool that is applied to explore potentially disease-related
biomarkers, particularly for neurodegenerative diseases (NDs). With the development of …

The increasing incidence of Alzheimer's disease (AD) has been leading towards a
significant growth in socioeconomic challenges. A reliable prediction of AD might be useful …

Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions of people
worldwide, making early detection essential for effective intervention. This review paper …

The prognosis and treatment of patients suffering from Alzheimer's disease (AD) have been
among the most important and challenging problems over the last few decades. To better …

Background: Computer-aided machine learning models are being actively developed with
clinically available biomarkers to diagnose Alzheimer's disease (AD) in living persons …

Mild cognitive impairment (MCI) represents an early stage of Alzheimer's disease (AD),
characterized by subtle clinical symptoms that pose challenges for accurate diagnosis. The …

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 …

Alzheimer's disease (AD) is an irreversible neurodegenerative disease, and the early
diagnosis and effective intervention of AD is essential for patients and doctors. Intelligence …