Mobile sensing-based modeling of behavioral changes could predict an oncoming psychotic
relapse in schizophrenia patients for timely interventions. Deep learning models could …

One of the emerging fields in functional magnetic resonance imaging (fMRI) is the decoding
of different stimulations. The underlying idea is to reveal the hidden representative signal …

Spatial smoothing is a preprocessing step applied to neuroimaging data to enhance data
quality by reducing noise and artifacts. However, selecting an appropriate smoothing kernel …

Functional magnetic resonance imaging (fMRI) studies have achievements towards boosted
promising outcomes due to deep applications. One of the emerging but rarely studied fields …

Magnetic resonance imaging (MRI) is widely used in biomedical research and clinical
applications. The emergence of new techniques increases the applications of MR imaging …

In order to analyze the value of contrast‐enhanced ultrasound (CEUS) combined with
functional magnetic resonance imaging (fMRI) in the early differential diagnosis of liver …