Synopsis of recent research by authors named "Alessandro Sbrizzi"
- Alessandro Sbrizzi's recent research focuses on advancing MRI techniques, particularly through the development of innovative methodologies for synthesizing and enhancing image quality and improving the accuracy of tumor tracking during radiotherapy.
- His work includes hybrid approaches for synthesizing high-quality FLAIR images, utilizing nonlinear gradient fields for silent MRI, and addressing challenges in retrospective motion correction and reconstruction for 3D brain MRI protocols.
- Additionally, Sbrizzi has explored the application of GPU-accelerated simulations for MR-STAT reconstructions, enhanced relaxometry at 7T, and the use of physics-informed deep learning networks for synthetic MRI, significantly contributing to the fields of medical imaging and quantitative MRI.
