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Learning Reduced-Order Models for Cardiovascular Simulations with Graph
  Neural Networks

Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks

13 March 2023
Luca Pegolotti
Martin R. Pfaller
Natalia L. Rubio
Ke Ding
Rita Brugarolas Brufau
Eric F. Darve
Alison L. Marsden
    AI4CE
ArXivPDFHTML

Papers citing "Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks"

10 / 10 papers shown
Title
Simulation-based Inference for Cardiovascular Models
Simulation-based Inference for Cardiovascular Models
Antoine Wehenkel
Laura Manduchi
Jens Behrmann
Guillermo Sapiro
Andrew C. Miller
Marco Cuturi
Ozan Sener
Marco Cuturi
J. Jacobsen
88
8
0
31 Dec 2024
Graph Neural Network for Cerebral Blood Flow Prediction With Clinical
  Datasets
Graph Neural Network for Cerebral Blood Flow Prediction With Clinical Datasets
Seungyeon Kim
Wheesung Lee
Sung-Ho Ahn
Do-Eun Lee
Tae-Rin Lee
GNN
60
0
0
27 Nov 2024
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction
Giuseppe Alessio DÍnverno
Saeid Moradizadeh
Sajad Salavatidezfouli
Pasquale Claudio Africa
G. Rozza
AI4CE
31
0
0
04 Oct 2024
Shape-informed surrogate models based on signed distance function domain
  encoding
Shape-informed surrogate models based on signed distance function domain encoding
L. Zhang
S. Pagani
Jun Zhang
Francesco Regazzoni
AI4CE
29
1
0
19 Sep 2024
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical
  simulations in computational cardiology
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
Matteo Salvador
Alison L. Marsden
AI4CE
27
1
0
19 Aug 2024
Image2Flow: A hybrid image and graph convolutional neural network for
  rapid patient-specific pulmonary artery segmentation and CFD flow field
  calculation from 3D cardiac MRI data
Image2Flow: A hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data
Tina Yao
E. Pajaziti
Michael Quail
Silvia Schievano
J. Steeden
V. Muthurangu
MedIm
16
2
0
28 Feb 2024
Branched Latent Neural Maps
Branched Latent Neural Maps
M. Salvador
Alison Lesley Marsden
25
4
0
04 Aug 2023
Deep Learning-based surrogate models for parametrized PDEs: handling
  geometric variability through graph neural networks
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks
N. R. Franco
S. Fresca
Filippo Tombari
Andrea Manzoni
AI4CE
19
16
0
03 Aug 2023
A graph convolutional autoencoder approach to model order reduction for
  parametrized PDEs
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs
F. Pichi
B. Moya
J. Hesthaven
AI4CE
25
51
0
15 May 2023
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction
Fanwei Kong
N. Wilson
S. Shadden
MedIm
AI4CE
32
77
0
16 Feb 2021
1