The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain map** approaches to multivariate predictive models …

Alzheimer's disease (AD) is a brain-related disease in which the condition of the patient gets
worse with time. AD is not a curable disease by any medication. It is impossible to halt the …

Alzheimer's disease (AD) is a progressive neurodegenerative condition marked by a decline
in cognitive functions with no validated disease modifying treatment. It is critical for timely …

Objective: Machine learning classification has been the most important computational
development in the last years to satisfy the primary need of clinicians for automatic early …

Alzheimer's disease is an incurable, progressive neurological brain disorder. Earlier
detection of Alzheimer's disease can help with proper treatment and prevent brain tissue …

Mild cognitive impairment (MCI) is the prodromal stage of Alzheimer's disease (AD).
Identifying MCI subjects who are at high risk of converting to AD is crucial for effective …

Deep learning (DL) is a family of machine learning methods that has gained considerable
attention in the scientific community, breaking benchmark records in areas such as speech …

Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …

Background The Mini Mental State Examination (MMSE) is a cognitive test that is commonly
used as part of the evaluation for possible dementia. Objectives To determine the diagnostic …

Background Dementia is a progressive global cognitive impairment syndrome. In 2010,
more than 35 million people worldwide were estimated to be living with dementia. Some …