Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …

The Internet of Underwater Things (IoUT) is an emerging communication ecosystem
developed for connecting underwater objects in maritime and underwater environments …

High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …

Structural magnetic resonance imaging (sMRI) has been widely used for computer-aided
diagnosis of neurodegenerative disorders, eg, Alzheimer's disease (AD), due to its …

Abstract Graph Convolutional Networks (GCNs) are widely applied in classification tasks by
aggregating the neighborhood information of each sample to output robust node …

Deep learning has recently been used for the analysis of neuroimages, such as structural
magnetic resonance imaging (MRI), functional MRI, and positron emission tomography …

Structural magnetic resonance imaging (sMRI) has become a prevalent and potent imaging
modality for the computer-aided diagnosis (CAD) of neurological diseases like dementia …

Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …

Psychiatric research is often confronted with complex abstractions and dynamics that are not
readily accessible or well-defined to our perception and measurements, making data-driven …

Abstract Semantic Scene Completion (SSC) transforms an image of single-view depth
and/or RGB 2D pixels into 3D voxels, each of whose semantic labels are predicted. SSC is a …