The use of deep learning (DL) for the analysis and diagnosis of biomedical and health care
problems has received unprecedented attention in the last decade. The technique has …

Folding of the cerebral cortex is a prominent characteristic of mammalian brains. Alterations
or deficits in cortical folding are strongly correlated with abnormal brain function, cognition …

abstract Multimodal fusion of different types of neural image data provides an irreplaceable
opportunity to take advantages of complementary cross-modal information that may only …

In this paper, we propose a framework for functional connectivity network (FCN) analysis,
which conducts the brain disease diagnosis on the resting state functional magnetic …

Linking computational natural language processing (NLP) models and neural responses to
language in the human brain on the one hand facilitates the effort towards disentangling the …

A novel self-supervised deep learning (DL) method is developed to compute personalized
brain functional networks (FNs) for characterizing brain functional neuroanatomy based on …

With the advances and development of imaging and computer technologies, the application
of artificial intelligence (AI) in the processing of magnetic resonance imaging (MRI) data has …

Understanding the brain's functional architecture has been an important topic in the
neuroimaging field. A variety of brain network modeling methods have been proposed …

Integrating and processing information from various sources or modalities are critical for
obtaining a comprehensive and accurate perception of the real world in autonomous …

The roles of brain regions activities and gene expressions in the development of Alzheimer's
disease (AD) remain unclear. Existing imaging genetic studies usually has the problem of …