Fabrizio D'Ascenzo

15 papers C 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automated Prediction of Paravalvular Regurgitation before Transcatheter Aortic Valve Implantation.
CoRR
Michele Cannito, Riccardo Renzulli, Adson Duarte, Farzad Nikfam, Carlo Alberto Barbano, Enrico Chiesa, Francesco Bruno, Federico Giacobbe, Wojciech Wanha, Arturo Giordano, Marco Grangetto, Fabrizio D'Ascenzo
2026 J jnl
Cardiac Output Prediction from Echocardiograms: Self-Supervised Learning with Limited Data.
CoRR
Adson Duarte, Davide Vitturini, Emanuele Milillo, Andrea Bragagnolo, Carlo Alberto Barbano, Riccardo Renzulli, Michele Cannito, Federico Giacobbe, Francesco Bruno, Ovidio De Filippo, Fabrizio D'Ascenzo, Marco Grangetto
2025 J jnl
Machine Learning Pipeline for Early Diabetes Detection: A Comparative Study with Explainable AI.
Future Internet
Yas Barzegar, Atrin Barzegar, Francesco Bellini, Fabrizio D'Ascenzo, Irina Gorelova, Patrizio Pisani
2025 J jnl
Quantum for All: Using Social Media to Raise Public Awareness of Quantum Technologies.
Inf.
Igor Gutorov, Irina Gorelova, Francesco Bellini, Fabrizio D'Ascenzo
2024 J jnl
A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography.
IEEE Trans. Medical Imaging
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
2024 J jnl
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR).
Artif. Intell. Medicine
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, Ovidio De Filippo, Mario Iannaccone, Fabrizio D'Ascenzo, Gaetano Maria de Ferrari, Umberto Morbiducci, Emanuele Della Valle, Marco Agostino Deriu
2024 — conf
Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation.
BIOSTEC (1)
Raffaele Mineo, Federica Proietto Salanitri, Giovanni Bellitto, Ovidio De Filippo, Fabrizio D'Ascenzo, Simone Palazzo, Concetto Spampinato
2024 J jnl
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray.
CoRR
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, Mario Iannaccone, Paolo Fonio, Attilio Fiandrotti, Alessandro Depaoli, Marco Grangetto, Gaetano Maria de Ferrari, Fabrizio D'Ascenzo
2023 J jnl
Modelling blood flow in coronary arteries: Newtonian or shear-thinning non-Newtonian rheology?
Comput. Methods Programs Biomed.
Giuseppe De Nisco, Maurizio Lodi Rizzini, Roberto Verardi, Claudio Chiastra, Alessandro Candreva, Gaetano de Ferrari, Fabrizio D'Ascenzo, Diego Gallo, Umberto Morbiducci
2023 C conf
Pooling critical datasets with Federated Learning.
PDP
Yasir Arfat, Gianluca Mittone, Iacopo Colonnelli, Fabrizio D'Ascenzo, Roberto Esposito, Marco Aldinucci
2022 J jnl
Modelling coronary flows: impact of differently measured inflow boundary conditions on vessel-specific computational hemodynamic profiles.
Comput. Methods Programs Biomed.
Maurizio Lodi Rizzini, Alessandro Candreva, Claudio Chiastra, Emanuele Gallinoro, Karol Calò, Fabrizio D'Ascenzo, Bernard De Bruyne, Takuya Mizukami, Carlos Collet, Diego Gallo, Umberto Morbiducci
2021 J jnl
Digital Communication Tools and Knowledge Creation Processes for Enriched Intellectual Outcome - Experience of Short-Term E-Learning Courses during Pandemic.
Future Internet
Nadezhda N. Pokrovskaia, Veronika L. Leontyeva, Marianna Yu. Ababkova, Lucio Cappelli, Fabrizio D'Ascenzo
2017 — conf
FabLabs as Platforms for Digital Fabrication Services: A Literature Analysis.
IESS
Marco Savastano, Francesco Bellini, Fabrizio D'Ascenzo, Eusebio Scornavacca Jr.
2016 — conf
Digital Service Platform for Networked Enterprises Collaboration: A Case Study of the NEMESYS Project.
IESS
Francesco Bellini, Fabrizio D'Ascenzo, Iana Dulskaia, Marco Savastano
2016 J jnl
The antecedents of e-learning adoption within Italian corporate universities: a comparative case study.
EAI Endorsed Trans. e Learn.
Michela Iannotta, C. Meret, Mauro Gatti, Fabrizio D'Ascenzo