Generative adversarial networks (GANs) are one powerful type of deep learning models that
have been successfully utilized in numerous fields. They belong to the broader family of …

In this review article we have consolidated the imaging literature of patients with
schizophrenia across the full spectrum of modalities in radiology including computed …

Left–right asymmetry is an important organizing feature of the healthy brain that may be
altered in schizophrenia, but most studies have used relatively small samples and …

Simple Summary As a rapid-development research field, radiomics-based analysis has
been applied to many clinical problems. However, the reproducibility of the radiomics …

Neuroimaging research has shown that patients with schizophrenia (SCZ) present brain
structural and functional alterations, but the results across imaging modalities and task …

Background and purpose Cerebral amyloid angiopathy (CAA) is characterized by β‐amyloid
deposition in cortical and leptomeningeal arterioles, which might result from glymphatic …

Emerging evidence suggests brain white matter alterations in adolescents with early-onset
psychosis (EOP; age of onset< 18 years). However, as neuroimaging methods vary and …

Federated learning has shown its unique advantages in many different tasks, including brain
image analysis. It provides a new way to train deep learning models while protecting the …

The field of adult neuroimaging relies on well-established principles in research design,
imaging sequences, processing pipelines, as well as safety and data collection protocols …

Magnetic resonance spectroscopy (MRS) is a non-invasive neuroimaging technique used to
measure brain chemistry in vivo and has been used to study the healthy brain as well as …