On the Exploitation of Time-Space Priors for AI-Assisted Biomedical Imaging and Follow-Up

A novel Artificial Intelligence (AI)-assisted inverse scattering (IS) methodology is proposed for the monitoring and follow-up diagnosis of brain strokes. The developed technique leverages the high computational efficiency enabled by the System-by-Design (SbD) paradigm and exploits both a-priori (spatial) information on the imaged patient and acquired (temporal) information retrieved from the reconstructions at a previous instant in order to provide accurate, robust, and reliable images of the pathology.