7 citations · 16 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
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…
CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: a clinically-inspired deep learning pipeline
Alessia Gerbasi, Arianna Dagliati, Giuseppe Albi +7
The standard non-invasive imaging technique used to assess the severity and extent of Coronary Artery Disease (CAD) is Coronary Computed Tomography Angiography (CCTA). However, man…
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks
Kajetan Grodecki, Aditya Killekar, Andrew Lin +22
Quantitative lung measures derived from computed tomography (CT) have been demonstrated to improve prognostication in coronavirus disease (COVID-19) patients, but are not part of t…