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WarpPINN: Cine-MR image registration with physics-informed neural
  networks

WarpPINN: Cine-MR image registration with physics-informed neural networks

22 November 2022
Pablo Arratia López
Hernán Mella
S. Uribe
D. Hurtado
F. Sahli Costabal
ArXivPDFHTML

Papers citing "WarpPINN: Cine-MR image registration with physics-informed neural networks"

7 / 7 papers shown
Title
Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models
Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models
Matthias Höfler
Francesco Regazzoni
S. Pagani
Elias Karabelas
Christoph M. Augustin
Gundolf Haase
Gernot Plank
Federica Caforio
29
0
0
06 May 2025
Spectral Bias Correction in PINNs for Myocardial Image Registration of Pathological Data
Spectral Bias Correction in PINNs for Myocardial Image Registration of Pathological Data
Bastien C. Baluyot
Marta Varela
Chen Qin
23
0
0
24 Apr 2025
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle
Abdul Qayyum
Moona Mazher
Angela Lee
J. Solís-Lemus
Imran Razzak
Steven Niederer
30
3
0
27 May 2024
Deep Learning for Automatic Strain Quantification in Arrhythmogenic
  Right Ventricular Cardiomyopathy
Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy
Laura Alvarez-Florez
Jörg Sander
M. Bourfiss
F. Tjong
B. Velthuis
Ivana Išgum
24
0
0
24 Nov 2023
A survey on deep learning in medical image registration: new
  technologies, uncertainty, evaluation metrics, and beyond
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond
Junyu Chen
Yihao Liu
Shuwen Wei
Zhangxing Bian
Shalini Subramanian
A. Carass
Jerry L. Prince
Yong Du
OOD
42
36
0
28 Jul 2023
Physics-Informed Computer Vision: A Review and Perspectives
Physics-Informed Computer Vision: A Review and Perspectives
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
PINN
AI4CE
34
28
0
29 May 2023
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
131
438
0
18 Dec 2020
1