activity
20232026
most citedA Deep Learning-Based Fully Automated Pipeline for Regurgitant Mitral Valve Anatomy Analysis From 3D Echocardiography

20 citations · 26 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2026

Physics-driven Sonification for Improving Multisensory Needle Guidance in Percutaneous Epicardial Access

Veronica Ruozzi, Sasan Matinfar, Pasquale Vergara +7

Percutaneous epicardial access (PEA), performed on a beating heart under fluoroscopy, enables arrhythmia treatment. However, advancing a needle toward the thin and moving pericardi…

eess.IV2025

Pericoronary adipose tissue attenuation as a predictor of functional severity of coronary stenosis

Marta Pillitteri, Guido Nannini, Simone Saitta +5

Objective: This study aims to evaluate the functional significance of coronary stenosis by analyzing low-level radiomic features of the pericoronary adipose tissue (PCAT) surroundi…

eess.IV2025

Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models

Guido Nannini, Julian Suk, Patryk Rygiel +7

Coronary artery disease, caused by the narrowing of coronary vessels due to atherosclerosis, is the leading cause of death worldwide. The diagnostic gold standard, fractional flow…

q-bio.QM2024★ 6 cited

Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior

Julian Suk, Guido Nannini, Patryk Rygiel +4

Cardiovascular hemodynamic fields provide valuable medical decision markers for coronary artery disease. Computational fluid dynamics (CFD) is the gold standard for accurate, non-i…

physics.med-ph2024

An automated and time efficient framework for simulation of coronary blood flow under steady and pulsatile conditions

Guido Nannini, Simone Saitta, Luca Mariani +5

Fractional flow reserve (FFR) is the gold standard for diagnosing coronary artery disease (CAD). FFRCT uses computational fluid dynamics (CFD) to evaluate FFR non-invasively by sim…

cs.CV2023★ 20 cited

A Deep Learning-Based Fully Automated Pipeline for Regurgitant Mitral Valve Anatomy Analysis From 3D Echocardiography

Riccardo Munafò, Simone Saitta, Giacomo Ingallina +5

Three-dimensional transesophageal echocardiography (3DTEE) is the recommended imaging technique for the assessment of mitral valve (MV) morphology and lesions in case of mitral reg…