Jorge will be 9th winner of the prize, which is awarded annually by the UCL Centre for Neuroimaging Techniques.
His work is based mostly on the concept of information propagation, with an emphasis on the Geodesic Information Flow (GIF) algorithm. which is able to provide a coherent picture of human anatomy and change. Segmentations obtained from GIF have been shown to improve the accuracy and power of ROI-based imaging biomarkers in large scale clinical studies, and enabling the estimation of improved microstructural characteristics from diffusion imaging, functional connectivity from fMRI, and blood perfusion and cerebral blood flow from ASL. These biomarkers are relevant for diagnosis, estimation of disease progression, and the monitoring of disease-modifying treatments.
Congratulations to Jorge for his achievements!