While the application of differential privacy (DP) has been well-studied in cross-device
federated learning (FL), there is a lack of work considering DP and its implications for cross …

Artificial intelligence (AI) has recently attracted much attention for its potential use in
healthcare applications. The use of AI to improve and extract more information out of …

Background and aim Alzheimer's disease (AD) is a neurodegenerative disease that attacks
the brain by deposited amyloid-beta and neurofibrillary tangles. This study aimed to …

The applications of self-assembled InAs/GaAs quantum dots (QDs) for lasers and single
photon sources strongly rely on their density and quality. Establishing the process …

Alzheimer's disease (AD) is a neurological memory loss syndrome that eventually leads to
incapacity to perform everyday chores and death. Since no known cure for this disease …

Abstract Introduction In Alzheimer's disease, asymptomatic patients may have amyloid
deposition, but predicting their progression rate remains a substantial challenge with …

Recent advances in deep learning and imaging technologies have revolutionized
automated medical image analysis, especially in diagnosing Alzheimer's disease through …

Amyloid deposition is a vital biomarker in the process of Alzheimer's diagnosis. 18F-
florbetapir PET scans can provide valuable imaging data to determine cortical amyloid …

Initial development of artificial Intelligence (AI) and machine learning (ML) dates back to the
mid-twentieth century. A growing awareness of the potential for AI, as well as increases in …

Purpose Florbetapir PET images provide valuable information about the amount of amyloid
deposition in the brain due to neurodegenerative diseases, which helps in the prognosis of …