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Learning atrial fiber orientations and conductivity tensors from
  intracardiac maps using physics-informed neural networks
v1v2 (latest)

Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks

22 February 2021
Thomas Grandits
Simone Pezzuto
F. Sahli Costabal
P. Perdikaris
Thomas Pock
Gernot Plank
Rolf Krause
ArXiv (abs)PDFHTML

Papers citing "Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks"

8 / 8 papers shown
Title
Ensemble learning of the atrial fiber orientation with physics-informed
  neural networks
Ensemble learning of the atrial fiber orientation with physics-informed neural networks
Efraín Magaña
Simone Pezzuto
F. Sahli Costabal
48
1
0
30 Oct 2024
HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural
  Network for Efficient Drug Cardiosafety Assessment
HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment
Inass Soukarieh
Gerhard Hessler
Hervé Minoux
Marcel Mohr
Friedemann Schmidt
Jan Wenzel
Pierre Barbillon
Hugo Gangloff
Pierre Gloaguen
61
0
0
26 Aug 2024
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed
  Self-Supervised Learning
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
Keying Kuang
Frances Dean
Jack B. Jedlicki
David Ouyang
Anthony Philippakis
David Sontag
Ahmed M. Alaa
SyDaPINN
73
2
0
29 Feb 2024
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 Models
Federica Caforio
Francesco Regazzoni
S. Pagani
Elias Karabelas
Christoph M. Augustin
Gundolf Haase
Gernot Plank
A. Quarteroni
PINN
83
15
0
15 Dec 2023
Estimation of fibre architecture and scar in myocardial tissue using
  electrograms: an in-silico study
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
72
2
0
06 Dec 2022
Learning cardiac activation maps from 12-lead ECG with multi-fidelity
  Bayesian optimization on manifolds
Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds
Simone Pezzuto
P. Perdikaris
F. Sahli Costabal
31
8
0
11 Mar 2022
Physics-informed neural networks to learn cardiac fiber orientation from
  multiple electroanatomical maps
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps
Carlos Ruiz Herrera
Thomas Grandits
Gernot Plank
P. Perdikaris
F. Sahli Costabal
Simone Pezzuto
90
39
0
28 Jan 2022
Scientific Machine Learning through Physics-Informed Neural Networks:
  Where we are and What's next
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
S. Cuomo
Vincenzo Schiano Di Cola
F. Giampaolo
G. Rozza
Maizar Raissi
F. Piccialli
PINN
134
1,293
0
14 Jan 2022
1