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Physics-informed neural networks to learn cardiac fiber orientation from
  multiple electroanatomical maps
v1v2v3 (latest)

Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps

Engineering computations (Eng. Comput.), 2022
28 January 2022
Carlos Ruiz Herrera
Thomas Grandits
Gernot Plank
P. Perdikaris
F. Sahli Costabal
Simone Pezzuto
ArXiv (abs)PDFHTMLGithub (11★)

Papers citing "Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps"

7 / 7 papers shown
Physics-Informed Machine Learning in Biomedical Science and Engineering
Physics-Informed Machine Learning in Biomedical Science and Engineering
Nazanin Ahmadi
Qianying Cao
J. Humphrey
George Karniadakis
PINNAI4CE
212
3
0
06 Oct 2025
WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks
WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks
Felipe Álvarez-Barrientos
Tomás Banduc
Isabeau Sirven
Francisco Sahli Costabal
MedIm
84
0
0
10 Sep 2025
Physics-informed Neural Network Estimation of Material Properties in
  Soft Tissue Nonlinear Biomechanical Models
Physics-informed Neural Network Estimation of Material Properties in Soft Tissue Nonlinear Biomechanical ModelsComputational Mechanics (CM), 2023
Federica Caforio
Francesco Regazzoni
S. Pagani
Elias Karabelas
Christoph M. Augustin
Gundolf Haase
Gernot Plank
A. Quarteroni
PINN
314
44
0
15 Dec 2023
Digital twinning of cardiac electrophysiology models from the surface
  ECG: a geodesic backpropagation approach
Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approachIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2023
Thomas Grandits
Jan Verhulsdonk
Gundolf Haase
Alexander Effland
Simone Pezzuto
198
17
0
16 Aug 2023
Physics-informed neural networks for blood flow inverse problems
Physics-informed neural networks for blood flow inverse problems
Jeremías Garay
J. Dunstan
S. Uribe
F. Sahli Costabal
PINN
347
4
0
02 Aug 2023
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using
  Deep Computational Models for Inverse Inference
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse InferenceIEEE Transactions on Medical Imaging (TMI), 2023
Lei Li
J. Camps
Zhinuo
Zhenting Wang
Abhirup Banerjee
Marcel Beetz
Blanca Rodriguez
Vicente Grau
268
34
0
10 Jul 2023
Utilising physics-guided deep learning to overcome data scarcity
Utilising physics-guided deep learning to overcome data scarcity
Jinshuai Bai
Laith Alzubaidi
Qingxia Wang
E. Kuhl
Bennamoun
Yuantong T. Gu
PINNAI4CE
483
5
0
24 Nov 2022
1
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