Elizabeth Haddad

The paper uses GWAS to identify genetic variants associated with corpus callosum morphometry and links them to cortical structure and neuropsychiatric disorders.

This paper applies a spherical harmonics-based deep learning model to MRI-derived brain shape metrics to predict age, sex, and Alzheimer's disease diagnosis, showing strong performance in classification and regression tasks.

This paper evaluates the reliability and compatibility of brain metrics from different FreeSurfer versions using test-retest data and finds low compatibility between newer and older versions for specific regions.

This study shows that early life adversity in male mice alters reward circuit connectivity and leads to anhedonia in adulthood.

This study examines age and sex effects on white matter microstructure in 15,628 older adults using dMRI models, finding that advanced models like TDF and NODDI detect these effects most sensitively.

This study examines how exogenous sex hormones affect white matter aging in postmenopausal women using diffusion MRI data from the UK Biobank, finding steeper aging trajectories in hormone therapy users.

This study compares a new convolutional neural network-based hippocampal segmentation method (Hippodeep) with existing methods on stroke MRIs, finding Hippodeep more accurate in quality control and spatial accuracy.

This paper introduces a novel diffusion tensor imaging (DTI) method to accurately delineate the rat basolateral amygdala (BLA) and validates it against histological techniques.