ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.12362
  4. Cited By
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

28 January 2022
Carlos Ruiz Herrera
Thomas Grandits
Gernot Plank
P. Perdikaris
F. Sahli Costabal
Simone Pezzuto
ArXivPDFHTML

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

3 / 3 papers shown
Title
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
14
3
0
02 Aug 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
PINN
AI4CE
14
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
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
129
435
0
18 Dec 2020
1