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Year | Number of Results |
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2020 | 1 |
2021 | 1 |
2023 | 4 |
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Page 1
Approximation bounds for convolutional neural networks in operator learning.
Neural Netw. 2023 Apr;161:129-141. doi: 10.1016/j.neunet.2023.01.029. Epub 2023 Jan 26.
Neural Netw. 2023.
PMID: 36745938
Free article.
Deep learning-based reduced order models in cardiac electrophysiology.
Fresca S, Manzoni A, Dedè L, Quarteroni A.
Fresca S, et al.
PLoS One. 2020 Oct 1;15(10):e0239416. doi: 10.1371/journal.pone.0239416. eCollection 2020.
PLoS One. 2020.
PMID: 33002014
Free PMC article.
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Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches.
Gobat G, Fresca S, Manzoni A, Frangi A.
Gobat G, et al. Among authors: fresca s.
Sensors (Basel). 2023 Mar 10;23(6):3001. doi: 10.3390/s23063001.
Sensors (Basel). 2023.
PMID: 36991715
Free PMC article.
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Deep learning-based surrogate models for parametrized PDEs: Handling geometric variability through graph neural networks.
Franco NR, Fresca S, Tombari F, Manzoni A.
Franco NR, et al. Among authors: fresca s.
Chaos. 2023 Dec 1;33(12):123121. doi: 10.1063/5.0170101.
Chaos. 2023.
PMID: 38085228
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Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation.
Cicci L, Fresca S, Manzoni A, Quarteroni A.
Cicci L, et al. Among authors: fresca s.
Int J Numer Method Biomed Eng. 2024 Jan;40(1):e3783. doi: 10.1002/cnm.3783. Epub 2023 Nov 3.
Int J Numer Method Biomed Eng. 2024.
PMID: 37921217
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POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium.
Fresca S, Manzoni A, Dedè L, Quarteroni A.
Fresca S, et al.
Front Physiol. 2021 Sep 22;12:679076. doi: 10.3389/fphys.2021.679076. eCollection 2021.
Front Physiol. 2021.
PMID: 34630131
Free PMC article.
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