Alzheimer’s disease (AD) is the most common type of dementia and will be an increasing health prob-lem in society as the population ages. Mild cognitive impairment (MCI) is considered to be a prodromalstage of AD. The ability to identify subjects with MCI will be increasingly important as disease modifyingtherapies for AD are developed. We propose a semi-supervised learning method based on robust opti-mization for the identification of MCI from [18F]Fluorodeoxyglucose PET scans. We extracted thr
