Synthetic lagrangian turbulence by generative diffusion models T Li, L Biferale, F Bonaccorso, MA Scarpolini, M Buzzicotti Nature Machine Intelligence, 1-11, 2024 | 8 | 2024 |
An image-based approach for the estimation of arterial local stiffness in vivo S Celi, E Gasparotti, K Capellini, F Bardi, MA Scarpolini, C Cavaliere, ... Frontiers in Bioengineering and Biotechnology 11, 1096196, 2023 | 6 | 2023 |
Coupling synthetic and real-world data for a deep learning-based segmentation process of 4D flow MRI S Garzia, MA Scarpolini, M Mazzoli, K Capellini, A Monteleone, ... Computer Methods and Programs in Biomedicine 242, 107790, 2023 | 3 | 2023 |
Enabling supra-aortic vessels inclusion in statistical shape models of the aorta: a novel non-rigid registration method MA Scarpolini, M Mazzoli, S Celi Frontiers in Physiology 14, 1211461, 2023 | 3 | 2023 |
Synthetic Lagrangian Turbulence by Generative Diffusion Models L Biferale, T Li, M Buzzicotti, F Bonaccorso, M Scarpolini Bulletin of the American Physical Society, 2023 | | 2023 |
Statistical Shape Analysis of the Thoracic Aorta with supra-aortic vessels: development of a Non Rigid Registration Algorithm and correlation with CFD simulation results M MAZZOLI | | 2022 |
Automated 3D aortic segmentation of 4D flow MRI using deep learning S GARZIA | | 2021 |
Graph Neural Networks as surrogate for thoracic aortic aneurysm wall shear stress estimation S LONGO | | 2021 |