Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …

Alzheimer's disease (AD) is a form of brain disorder that causes functions' loss in a person's
daily activity. Due to the tremendous progress of Alzheimer's patients and the lack of …

This study explores the potential of the VGG-16 architecture, a Convolutional Neural
Network (CNN) model, for accurate brain tumor detection through deep learning. Utilizing a …

This comprehensive narrative review explores the concept of neuro-vulnerability in energy
metabolism regulation and its implications for metabolic disorders. The review highlights the …

ABSTRACT Background and Objective Manual brain tumor segmentation by radiologists is
time consuming and subjective. Therefore, fully automatic segmentation of different brain …

Alzheimer's disease (AD) is one of the most common neurodegenerative disorders
presenting irreversible progression of cognitive impairment. How to identify AD as early as …

Magnetic Resonance Imaging (MRI) is a critical imaging technique that provides detailed
visualization of internal structures without harmful radiation. This review focuses on key MRI …

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 …

Magnetic resonance imaging has achieved an increasingly important role in the clinical
work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters …

Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic
resonance imaging (MRI), a critical tool in diagnostic radiology. This review paper provides …