Combating mental illnesses such as depression and anxiety has become a global concern.
As a result of the necessity for finding effective ways to battle these problems, machine …

Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …

Identification of autism spectrum disorder (ASD) in children is challenging due to the
complexity and heterogeneity of ASD. Currently, most existing methods mainly rely on a …

In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …

Continuous sign language recognition is a weakly supervised task dealing with the
identification of continuous sign gestures from video sequences, without any prior …

Functional magnetic resonance imaging (fMRI) is an emerging neuroimaging modality that
is widely used to study brain function and disorders due to its advantages of …

Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …

Resting state functional magnetic resonance imaging (rsfMRI) data exhibits complex but
structured patterns. However, the underlying origins are unclear and entangled in rsfMRI …

Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …

Attention deficit hyperactivity disorder (ADHD) is a common behavioural disorder in children.
So far, its pathogenesis is not completely understood, and the diagnosis of ADHD still …