Quality control (QC) for functional connectivity magnetic resonance imaging (FC-MRI) is
critical to ensure the validity of neuroimaging studies. Noise confounds are common in MRI …

Background: Functional magnetic resonance imaging (fMRI) has the potential to provide
noninvasive functional mapping of the brain with high spatial and temporal resolution …

The monitoring and assessment of data quality is an essential step in the acquisition and
analysis of functional MRI (fMRI) data. Ideally data quality monitoring is performed while the …

The main approach for analyzing resting-state functional magnetic resonance imaging (rs-
fMRI) is the low-order functional connectivity network (LoFCN) based on the correlation …

Accurately identifying individual wildlife is critical to effective species management and
conservation efforts. However, it becomes particularly challenging when distinctive features …

Purpose To develop and validate an end-to-end model for automatically predicting
hematoma expansion (HE) after spontaneous intracerebral hemorrhage (sICH) using a …

Wide-field calcium imaging (WFCI) that records neural calcium dynamics allows for
identification of functional brain networks (FBNs) in mice that express genetically encoded …

Background Resting-state functional MRI (rs-fMRI) in rodent models have the potential to
bridge invasive experiments and observational human studies, increasing our …

Fully automatic classification of magnetic resonance (MR) brain images into different
contrasts is desirable for facilitating image processing pipelines, as well as for indexing and …

Resting State Networks (RSNs) of the brain extracted from Resting State functional Magnetic
Resonance Imaging (RS-fMRI) are used in the pre-surgical planning to guide the …