Fabrizio D'Ascenzo

According to our database, Fabrizio D'Ascenzo authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, August, 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, Mario Iannaccone, Paolo Fonio, Attilio Fiandrotti, Alessandro Depaoli, Marco Grangetto, Gaetano Maria de Ferrari, Fabrizio D'Ascenzo

CoRR, 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, Ovidio De Filippo, Mario Iannaccone, Fabrizio D'Ascenzo, Gaetano Maria de Ferrari, Umberto Morbiducci, Emanuele Della Valle, Marco Agostino Deriu

Artif. Intell. Medicine, 2024

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

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

Modelling blood flow in coronary arteries: Newtonian or shear-thinning non-Newtonian rheology?

Giuseppe De Nisco, Maurizio Lodi Rizzini, Roberto Verardi, Claudio Chiastra, Alessandro Candreva, Gaetano de Ferrari, Fabrizio D'Ascenzo, Diego Gallo, Umberto Morbiducci

Comput. Methods Programs Biomed., December, 2023

Pooling critical datasets with Federated Learning.

Yasir Arfat, Gianluca Mittone, Iacopo Colonnelli, Fabrizio D'Ascenzo, Roberto Esposito, Marco Aldinucci

Proceedings of the 31st Euromicro International Conference on Parallel, 2023

2022

Modelling coronary flows: impact of differently measured inflow boundary conditions on vessel-specific computational hemodynamic profiles.

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

Comput. Methods Programs Biomed., 2022

2021

Digital Communication Tools and Knowledge Creation Processes for Enriched Intellectual Outcome - Experience of Short-Term E-Learning Courses during Pandemic.

Nadezhda N. Pokrovskaia, Veronika L. Leontyeva, Marianna Yu. Ababkova, Lucio Cappelli, Fabrizio D'Ascenzo

Future Internet, 2021

2017

FabLabs as Platforms for Digital Fabrication Services: A Literature Analysis.

Marco Savastano, Francesco Bellini, Fabrizio D'Ascenzo, Eusebio Scornavacca Jr.

Proceedings of the Exploring Services Science - 8th International Conference, 2017

2016

The antecedents of e-learning adoption within Italian corporate universities: a comparative case study.

Michela Iannotta, C. Meret, Mauro Gatti, Fabrizio D'Ascenzo

EAI Endorsed Trans. e Learn., 2016

Digital Service Platform for Networked Enterprises Collaboration: A Case Study of the NEMESYS Project.

Francesco Bellini, Fabrizio D'Ascenzo, Iana Dulskaia, Marco Savastano

Proceedings of the Exploring Services Science - 7th International Conference, 2016