Estimators of biological age (BA)–defined as the hypothetical underlying age of an organism–
have attracted more and more attention in the last years, especially after the advent of new …

The difference between age predicted using anatomical brain scans and chronological age,
ie, the brain-age delta, provides a proxy for atypical aging. Various data representations and …

Introduction Mental disorders are the main cause of mortality and morbidity worldwide. Deep
learning offers a considerable promise for mental health diagnosis and risk assessment. The …

Schizophrenia patients show signs of accelerated aging in cognitive and physiological
domains. Both schizophrenia and accelerated aging, as measured by MRI brain images and …

How will my face look when I get older? Or, for a more challenging question: How will my
brain look when I get older? To answer this question one must devise (and learn from data) …

Age and gender identification have become a major part of the network, security and care. It
has a common use in age specific content access for children. Social media uses it in …

We propose an interpretable 3D Grid-Attention deep neural network that can accurately
predict a person's age and whether they have Alzheimer's disease (AD) from a structural …

Predicting individual chronological age based on neuroimaging data is very promising and
important for understanding the trajectory of normal brain development. In this work, we …

Abstract Machine learning models trained on MRI brain scans of healthy subjects can be
used to predict age. Accurate estimation of brain age is important for reliably detecting …