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ORCIDFabrizio D'Ascenzo
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2020 – today
- 2024
[j6]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:
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 151: 102841 (2024)- [j5]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:
A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography. IEEE Trans. Medical Imaging 43(8): 2866-2877 (2024) - [c4]Raffaele Mineo, Federica Proietto Salanitri, Giovanni Bellitto, Ovidio De Filippo, Fabrizio D'Ascenzo, Simone Palazzo, Concetto Spampinato:
Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation. BIOSTEC (1) 2024: 305-312 - [i1]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:
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray. CoRR abs/2403.18756 (2024) - 2023
- [j4]Giuseppe De Nisco, Maurizio Lodi Rizzini, Roberto Verardi, Claudio Chiastra, Alessandro Candreva, Gaetano de Ferrari, Fabrizio D'Ascenzo, Diego Gallo, Umberto Morbiducci:
Modelling blood flow in coronary arteries: Newtonian or shear-thinning non-Newtonian rheology? Comput. Methods Programs Biomed. 242: 107823 (2023) - [c3]Yasir Arfat, Gianluca Mittone, Iacopo Colonnelli, Fabrizio D'Ascenzo, Roberto Esposito, Marco Aldinucci:
Pooling critical datasets with Federated Learning. PDP 2023: 329-337 - 2022
- [j3]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:
Modelling coronary flows: impact of differently measured inflow boundary conditions on vessel-specific computational hemodynamic profiles. Comput. Methods Programs Biomed. 221: 106882 (2022) - 2021
- [j2]Nadezhda N. Pokrovskaia, Veronika L. Leontyeva, Marianna Yu. Ababkova, Lucio Cappelli, Fabrizio D'Ascenzo:
Digital Communication Tools and Knowledge Creation Processes for Enriched Intellectual Outcome - Experience of Short-Term E-Learning Courses during Pandemic. Future Internet 13(2): 43 (2021)
2010 – 2019
- 2017
- [c2]Marco Savastano, Francesco Bellini, Fabrizio D'Ascenzo, Eusebio Scornavacca Jr.:
FabLabs as Platforms for Digital Fabrication Services: A Literature Analysis. IESS 2017: 24-37 - 2016
- [j1]Michela Iannotta, C. Meret, Mauro Gatti, Fabrizio D'Ascenzo:
The antecedents of e-learning adoption within Italian corporate universities: a comparative case study. EAI Endorsed Trans. e Learn. 3(12): e3 (2016) - [c1]Francesco Bellini, Fabrizio D'Ascenzo, Iana Dulskaia, Marco Savastano:
Digital Service Platform for Networked Enterprises Collaboration: A Case Study of the NEMESYS Project. IESS 2016: 313-326
Coauthor Index
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last updated on 2024-12-10 21:44 CET by the dblp team
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