Ron Kikinis

This paper develops a deep learning method to map white matter tracts from CT scans in intracerebral hemorrhage patients, showing high anatomical plausibility and correlation with motor scores.

This paper introduces DeepRGVP, a deep learning framework for automatically identifying the retinogeniculate visual pathway from diffusion MRI tractography data, showing superior performance compared to existing methods.

This study investigates the role of superficial white matter microstructure in processing speed in cerebral small vessel disease, finding that free-water measures in SWM strongly correlate with cognitive decline.

This study compares four tractography methods for reconstructing the retinogeniculate visual pathway using diffusion MRI data from 57 subjects, finding that UKF-2T and iFOD1 provide the best results.

This paper creates a novel trigeminal tractography atlas for automated trigeminal nerve identification using dMRI data, showing comparable results to manual methods with advantages in efficiency and robustness.

This study creates a detailed 3D map of the human brainstem using high-resolution MRI and validates it against histological atlases.