Publications by authors named "Silvia Arezzini"
This study addresses a fundamental limitation of in-beam positron emission tomography (IB-PET) in proton therapy: the lack of direct anatomical representation in the images it produces. We aim to overcome this shortcoming by pioneering the application of deep learning techniques to create synthetic control CT images (sCT) from combining IB-PET and planning CT scan data.We conducted simulations involving six patients who underwent irradiation with proton beams.
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- The complexity of Autism Spectrum Disorders (ASD) necessitates specialized analysis methods to effectively study the various factors influencing affected individuals, including clinical traits, genetics, and brain imaging.
- The ARIANNA project creates a collaborative platform for researchers to analyze neuroimaging data using machine learning techniques, aiming to differentiate individuals with ASD from control subjects and establish criteria for personalized treatments.
- The paper details the project's web-based architecture, secure data handling, and computational resources, showcasing how this innovative environment aids in simplifying and interpreting complex clinical and neuroimaging data related to ASD research.