Jocelyn Mora

The paper predicts age and MMSE scores from brain connectivity graphs using a graph-based deep learning model, showing improved performance over existing methods.

This paper introduces VesSynth, a vessel segmentation framework trained on synthetic data that achieves state-of-the-art accuracy across multiple imaging modalities and spatial resolutions.

This paper evaluates two methods for automatically estimating the locus coeruleus region from standard T1-weighted MRI scans using non-contrast neuroanatomical data.

This paper introduces a semi-supervised segmentation model for identifying supragranular and infragranular layers in human cerebral cortex MRI scans with high precision.

The paper explores correlations between human structural brain connectivity and non-MRI variables in Alzheimer's disease, finding stronger associations with augmented connectivity and age-related decreases in connectivity.

The paper develops an imaging pipeline to create a cell census of the human cerebral cortex using MRI, immunohistochemistry, and light-sheet fluorescence microscopy.