Unsupervised domain adaptation (UDA) via deep learning has attracted appealing attention
for tackling domain-shift problems caused by distribution discrepancy across different …

Deep learning has demonstrated remarkable performance across various tasks in medical
imaging. However, these approaches primarily focus on supervised learning, assuming that …

The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …

Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely used in the
detection of brain disorders such as autism spectrum disorder based on various …

Resting‐state functional magnetic resonance imaging (rs‐fMRI) helps characterize regional
interactions that occur in the human brain at a resting state. Existing research often attempts …

Recent years have shown great merits in utilizing neuroimaging data to understand brain
structural and functional changes, as well as its relationship to different neurodegenerative …

Major Depressive Disorder (MDD) is a pervasive disorder affecting millions of individuals,
presenting a significant global health concern. Functional connectivity (FC) derived from …

Resting-state functional MRI (rs-fMRI) is increasingly employed in multi-site research to
analyze neurological disorders, but there exists cross-site/domain data heterogeneity …

Functional magnetic resonance imaging (fMRI) has been increasingly employed to
investigate functional brain activity. Many fMRI-related software/toolboxes have been …

Resting-state functional magnetic resonance imaging (rs-fMRI) can reflect spontaneous
neural activities in the brain and is widely used for brain disorder analysis. Previous studies …