Due to the proliferation of biomedical imaging modalities, such as Photoacoustic
Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc …

Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …

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 …

Autism spectrum disorder (ASD) is a neurodevelopmental incurable disorder with a long
diagnostic period encountered in the early years of life. If diagnosed early, the negative …

Over the past decade, in-vivo MRI studies have provided many invaluable insights into the
neural substrates underlying autism spectrum disorder (ASD), which is now known to be …

Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

Abstract Machine learning techniques are increasingly being used in making relevant
predictions and inferences on individual subjects neuroimaging scan data. Previous studies …

Despite over two decades of neuroimaging research, a unanimous definition of the pattern
of structural variation associated with autism spectrum disorder (ASD) has yet to be found …

Macrocephaly and brain overgrowth have been associated with autism spectrum disorder.
We performed a systematic review and meta-analysis to provide an overall estimate of effect …

Background: Systematic differences in functional connectivity MRI metrics have been
consistently observed in autism, with predominantly decreased cortico-cortical connectivity …