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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

28 February 2024
Tina Yao
E. Pajaziti
Michael Quail
Silvia Schievano
J. Steeden
V. Muthurangu
    MedIm
ArXivPDFHTML

Papers citing "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"

3 / 3 papers shown
Title
Learning Reduced-Order Models for Cardiovascular Simulations with Graph
  Neural Networks
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks
Luca Pegolotti
Martin R. Pfaller
Natalia L. Rubio
Ke Ding
Rita Brugarolas Brufau
Eric F. Darve
Alison L. Marsden
AI4CE
46
31
0
13 Mar 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
40
77
0
16 Feb 2021
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
C. L. P. Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
53
664
0
09 Nov 2019
1