Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation. - Raffaele Mineo; Federica Proietto Salanitri; Giovanni Bellitto; Ovidio De Filippo; Fabrizio D'Ascenzo; Simone Palazzo; Concetto Spampinato (BIOSTEC (1), 2024)

An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR). - Karim Kassem; Michela Sperti; Andrea Cavallo; Andrea Mario Vergani; Davide Fassino; Monica Moz; Alessandro Liscio; Riccardo Banali; Michael Dahlweid; Luciano Benetti; Francesco Bruno; Guglielmo Gallone; et al. (Artif. Intell. Medicine, 2024)

Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray. - Guglielmo Gallone; Francesco Iodice; Alberto Presta; Davide Tore; Ovidio De Filippo; Michele Visciano; Carlo Alberto Barbano; Alessandro Serafini; Paola Gorrini; Alessandro Bruno; Walter Grosso Marra; James Hughes; et al. (CoRR, 2024)

A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography. - Raffaele Mineo; Federica Proietto Salanitri; Giovanni Bellitto; Isaak Kavasidis; Ovidio De Filippo; M. Millesimo; Gaetano Maria de Ferrari; Marco Aldinucci; Daniela Giordano; Simone Palazzo; Fabrizio D'Ascenzo; Concetto Spampinato (IEEE Trans. Medical Imaging, 2024)

Predicting vulnerable coronary arteries: A combined radiomics-biomechanics approach. - Anna Corti; Marco Stefanati; Matteo Leccardi; Ovidio De Filippo; Alessandro Depaoli; Pietro Cerveri; Francesco Migliavacca; Valentina D. A. Corino; José Felix Rodriguez Matas; Luca T. Mainardi; Gabriele Dubini (Comput. Methods Programs Biomed., 2025)