MAPT and amyloidosis: With recent advances in deep learning techniques, several works have explored cross-modality synthesis that transforms images from one domain to another, including low-dose FDG-PET to standard-dose FDG-PET,31 CT to T1w,32 T1w to FDG-PET33,34 and CT to FDG-PET.35 In the current work, we present a 3D Dense-U-Net model for the imputation of tau-PET from either FDG-PET, amyloid-PET or structural T1w and compare the performance of each modality-based tau-PET imputation models.