Rudy Rizzo





• Master's degree in Biomedical Engineering, University of Padova, Italy


 Research interests

• Multi-parametric MR spectroscopy (MRS) and Spectroscopic Imaging (MRSI)

• Models for biological data 

• Biological data quantification, with interest in methods' accuracy and uncertainties

• Artificial Intelligence for quantification, with a specific interest in Deep Learning



• Multi-parametric single voxel spectroscopy and spectroscopic imaging for simultaneous fast and accurate quantification of brain and prostate metabolite concentrations and T2s

• Theoretical assessments of robustness and reliability of Deep Learning approaches to quantify metabolites in MR spectroscopy.

• Diffusion-Weighted Spectroscopy in the prostate: comparing healthy and prostate cancer metabolite diffusivity.



• European Union's Horizon 2020, Marie Sklodowska-Curie grant agreement No 813120 (INSPiRE-MED,


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