Davood Karimi

This study maps fetal brain structural connectivity using diffusion MRI, revealing developmental patterns and introducing a new method for creating age-specific connectome templates.

This study evaluates deep learning models for fODF estimation in infant brain MRI, finding that U-Net performs best with fewer gradient directions, while MLP and Transformer improve with more directions.

This study quantifies crossing tracts and bottleneck regions in fetal brain white matter using diffusion MRI, finding high prevalence of both features compared to adult brains.

This study constructs a spatiotemporal atlas of fetal white matter tracts using dMRI, revealing developmental patterns of FA and MD across gestational weeks 22-37.

The paper evaluates tractography methods using a macaque dataset to determine optimal approaches for mapping brain pathways from multi-shell diffusion MRI.