Hamza Farooq

This paper presents high-resolution diffusion MRI techniques for in vivo and ex vivo macaque brain imaging at 10.5 Tesla, enabling detailed connectivity studies.

This paper optimizes diffusion MRI protocols using a Cramer-Rao lower bound framework to improve biophysical modeling accuracy of brain microstructure.

The paper compares microstructure and fiber orientation measurements from polarization-sensitive OCT and ultra-high-field dMRI in macaque brains and demonstrates a GAN for improving MRI resolution using OCT data.

The paper applies network curvature to brain structural networks to identify robust/fragile regions, track development/aging changes, and detect connectivity differences in Autism Spectrum Disorders.