Biomechanics-informed Neural Networks for Myocardial Motion Tracking in
MRI

Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI

8 June 2020

Shuo Wang

Daniel Rueckert

Papers citing "Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI"

8 / 8 papers shown

Title
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 Abdul Qayyum Moona Mazher Angela Lee J. Solís-Lemus Imran Razzak Steven Niederer 24 3 0 27 May 2024
4D Myocardium Reconstruction with Decoupled Motion and Shape Model Xiaohan Yuan Cong Liu Yangang Wang 36 3 0 27 Aug 2023
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance C. Qin Daniel Rueckert 16 3 0 21 Sep 2022
Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning Qingjie Meng Wenjia Bai Tianrui Liu D. O’Regan Daniel Rueckert 25 7 0 05 Sep 2022
MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph Latent S. Chatterjee Himanshi Bajaj Istiyak H. Siddiquee N. Subbarayappa Steve Simon S. Shashidhar Oliver Speck A. Nürnberger 24 4 0 08 Mar 2022
Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration Zhe Xu Jie Luo Donghuan Lu Jiangpeng Yan Sarah F. Frisken J. Jagadeesan W. Wells Xiu Li Yefeng Zheng R. Tong 16 16 0 06 Jul 2021
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences C. Qin Wenjia Bai Jo Schlemper S. Petersen Stefan K. Piechnik S. Neubauer Daniel Rueckert MedIm 51 156 0 11 Jun 2018