Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …

In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …

The current lockouts, climatic variations, population expansion, and constraints on
convenience and natural resource access are some of the factors that are making the need …

The collection of increasing amounts of data in health care has become relevant for pain
therapy and research. This poses problems for analyses with classical approaches, which is …

Due to the rarity of anomalous events, video anomaly detection is typically approached as
one-class classification (OCC) problem. Typically in OCC, an autoencoder (AE) is trained to …

While diagnosing autism spectrum disorder (ASD) based on an objective test is desired, the
current diagnostic practice involves observation-based criteria. This study is a systematic …

Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both
children and adults. An important aspect of social communication is keeping eye contact …

Autism Spectrum Disorder (ASD) is a complicated collection of neurodevelopmental
illnesses characterized by a variety of developmental defects. It is a binary classification …

Skin cancer is a lethal disease, and its early detection plays a pivotal role in preventing its
spread to other body organs and tissues. Artificial Intelligence (AI)-based automated …

Deep learning uses a large-scale labelled dataset to ensure a high degree of accuracy. This
technology is increasingly data-driven in medicine and biology imaging, and labelled data is …