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Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps
28 January 2022
Carlos Ruiz Herrera
Thomas Grandits
Gernot Plank
P. Perdikaris
F. Sahli Costabal
Simone Pezzuto
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Papers citing
"Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps"
4 / 4 papers shown
Title
Physics-informed neural networks for blood flow inverse problems
Jeremías Garay
J. Dunstan
S. Uribe
F. Sahli Costabal
PINN
31
3
0
02 Aug 2023
Estimation of fibre architecture and scar in myocardial tissue using electrograms: an in-silico study
Konstantinos Ntagiantas
E. Pignatelli
N. Peters
C. Cantwell
R. Chowdhury
Anil A. Bharath
21
1
0
06 Dec 2022
Utilising physics-guided deep learning to overcome data scarcity
Jinshuai Bai
Laith Alzubaidi
Qingxia Wang
E. Kuhl
Bennamoun
Yuantong T. Gu
PINN
AI4CE
26
3
0
24 Nov 2022
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
Sifan Wang
Hanwen Wang
P. Perdikaris
131
438
0
18 Dec 2020
1