Coupling synthetic and real-world data for a deep learning-based segmentation process of 4D flow MRI. - Simone Garzia; Martino Andrea Scarpolini; Marilena Mazzoli; Katia Capellini; Angelo Monteleone; Filippo Cademartiri; Vincenzo Positano; Simona Celi (Comput. Methods Programs Biomed., 2023)

Synthetic Lagrangian turbulence by generative diffusion models. - Tianyi Li; Luca Biferale; Fabio Bonaccorso; Martino Andrea Scarpolini; Michele Buzzicotti (Nat. Mac. Intell., 2024)

Guiding patient-specific cardiac simulations through data-assimilation of soft tissue kinematics from dynamic CT scan. - Martino Andrea Scarpolini; Giulia Piumini; Emanuele Gasparotti; Erica Maffei; Filippo Cademartiri; Simona Celi; Francesco Viola (Comput. Biol. Medicine, 2025)

A local and explicit forcing correction for Lagrangian immersed boundary methods. - Giovanni Vagnoli; Martino Andrea Scarpolini; Roberto Verzicco; Francesco Viola (Comput. Phys. Commun., 2025)

Graph-Convolutional-Beta-VAE for Synthetic Abdominal Aorta Aneurysm Generation. - Francesco Fabbri; Martino Andrea Scarpolini; Angelo Iollo; Francesco Viola; Francesco Tudisco (CoRR, 2025)