2 citations · 2 across the 3 of their papers we have counts for
3 papers
Infinite dimensional generative sensing
Paolo Angella, Vito Paolo Pastore, Matteo Santacesaria
Deep generative models have become a standard for modeling priors for inverse problems, going beyond classical sparsity-based methods. However, existing theoretical guarantees are…
DIMA: DIffusing Motion Artifacts for unsupervised correction in brain MRI images
Paolo Angella, Luca Balbi, Fabrizio Ferrando +4
Motion artifacts remain a significant challenge in Magnetic Resonance Imaging (MRI), compromising diagnostic quality and potentially leading to misdiagnosis or repeated scans. Exis…
Assessing the use of Diffusion models for motion artifact correction in brain MRI
Paolo Angella, Vito Paolo Pastore, Matteo Santacesaria
Magnetic Resonance Imaging generally requires long exposure times, while being sensitive to patient motion, resulting in artifacts in the acquired images, which may hinder their di…