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 …

In the present scenario, Alzheimer's Disease (AD) is one of the incurable neuro-
degenerative disorders, which accounts for nearly 60% to 70% of dementia cases. Currently …

Alzheimer's disease (AD) has become a serious hazard to human health in recent years,
and proper screening and diagnosis of AD remain a challenge. Multimodal neuroimaging …

Glaucoma is the leading cause of blindness worldwide. It is classically associated with
structural and functional changes in the optic nerve head and retinal nerve fiber layer, but …

Dementia is a degenerative disease that is increasingly prevalent in an aging society.
Alzheimer's disease (AD), the most common type of dementia, is best mitigated via early …

Transformers have dominated the landscape of Natural Language Processing (NLP) and
revolutionalized generative AI applications. Vision Transformers (VT) have recently become …

Abstract Machine learning techniques applied in neuroimaging have prompted researchers
to build models for early diagnosis of brain illnesses such as Alzheimer's disease (AD) …

Multimodal neuroimaging is an emerging field that leverages multiple sources of information
to diagnose specific brain disorders, especially when deep learning‐based AI algorithms …

Clinical adoption of deep learning models has been hindered, in part, because the “black-
box” nature of neural networks leads to concerns regarding their trustworthiness and …

Owing to their superior capabilities and advanced achievements, Transformers have
gradually attracted attention with regard to understanding complex brain processing …