Cover Image

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barrientos, Felipe Álvarez, Banduc, Tomás, Sirven, Isabeau, Costabal, Francisco Sahli
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Machine Learning Medical Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Ensemble learning of the atrial fiber orientation with physics-informed neural networks
by: Magaña, Efraín, et al.
Published: (2024)

Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
by: Khatun, Rupali, et al.
Published: (2023)

Spherical convolutional neural networks can improve brain microstructure estimation from diffusion MRI data
by: Kerkelä, Leevi, et al.
Published: (2022)

Real-time cardiac cine MRI -- A comparison of a diffusion probabilistic model with alternative state-of-the-art image reconstruction techniques for undersampled spiral acquisitions
by: Schad, Oliver, et al.
Published: (2024)

$Δ$-PINNs: physics-informed neural networks on complex geometries
by: Costabal, Francisco Sahli, et al.
Published: (2022)

Optimization of MR Fingerprinting for Free-Breathing Quantitative Abdominal Imaging
by: van Riel, Max H. C., et al.
Published: (2020)

Small metal artifact detection and inpainting in cardiac CT images
by: McKeown, Trevor, et al.
Published: (2024)

Image-Space Gridding for Nonrigid Motion-Corrected MR Image Reconstruction
by: Jang, Kwang Eun, et al.
Published: (2025)

Implicit neural representations for accurate estimation of the standard model of white matter
by: Hendriks, Tom, et al.
Published: (2025)

C-arm inverse geometry CT for 3D cardiac chamber mapping
by: Slagowski, Jordan M.
Published: (2024)

Algebraic Methods and Computational Strategies for Pseudoinverse-Based MR Image Reconstruction (Pinv-Recon)
by: Yeung, Kylie, et al.
Published: (2024)

Let Distortion Guide Restoration (DGR): A physics-informed learning framework for Prostate Diffusion MRI
by: Long, Ziyang, et al.
Published: (2026)

MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets
by: Pusterla, Orso, et al.
Published: (2021)

PyPeT: A Python Perfusion Tool for Automated Quantitative Brain CT and MR Perfusion Analysis
by: Borghouts, Marijn, et al.
Published: (2025)

CEST MR fingerprinting (CEST-MRF) for Brain Tumor Quantification Using EPI Readout and Deep Learning Reconstruction
by: Cohen, Ouri, et al.
Published: (2021)

Ultrashort echo time and zero echo time MR imaging and their applications at high magnetic fields: A literature survey
by: More, Soham Sharad, et al.
Published: (2022)

High-resolution myelin-water fraction and quantitative relaxation mapping using 3D ViSTa-MR fingerprinting
by: Liao, Congyu, et al.
Published: (2023)

Time-efficient, high-resolution 3T whole-brain relaxometry using Cartesian 3D MR-STAT with CSF suppression
by: Liu, Hongyan, et al.
Published: (2024)

Free-breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model
by: Lee, Wonil, et al.
Published: (2024)

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation
by: Spieker, Veronika, et al.
Published: (2024)

Ground-truth effects in learning-based fiber orientation distribution estimation in neonatal brains
by: Lin, Rizhong, et al.
Published: (2024)

Image denoising and model-independent parameterization for improving IVIM MRI
by: Sample, Caleb, et al.
Published: (2024)

MR-Compass: Inertial Navigation-Driven Motion Correction for Brain MRI
by: Arslan, Musa Tunc, et al.
Published: (2026)

Ptychographic lensless coherent endomicroscopy through a flexible fiber bundle
by: Weinberg, Gil, et al.
Published: (2024)

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation
by: Mu, Siyu, et al.
Published: (2025)

PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI
by: Spieker, Veronika, et al.
Published: (2025)

Extracting lung function-correlated information from CT-encoded static textures
by: Huang, Yu-Hua, et al.
Published: (2022)

Beat Pilot Tone (BPT): Simultaneous MR Imaging and RF Motion Sensing at Arbitrary Frequencies
by: Anand, Suma, et al.
Published: (2023)

Rapid patient-specific neural networks for intraoperative X-ray to volume registration
by: Gopalakrishnan, Vivek, et al.
Published: (2025)

Time-resolved aortic 3D shape reconstruction from a limited number of cine 2D MRI slices
by: Wolkerstorfer, Gloria, et al.
Published: (2026)

Revisiting the joint estimation of initial pressure and speed-of-sound distributions in photoacoustic computed tomography with consideration of canonical object constraints
by: Jeong, Gangwon, et al.
Published: (2024)

FlowMRI-Net: A Generalizable Self-Supervised 4D Flow MRI Reconstruction network
by: Jacobs, Luuk, et al.
Published: (2024)

Multi-dynamic deep image prior for cardiac MRI
by: Vornehm, Marc, et al.
Published: (2024)

MRpro - open PyTorch-based MR reconstruction and processing package
by: Zimmermann, Felix Frederik, et al.
Published: (2025)

Evaluation of the impact of cardiac implantable electronic devices on cine MRI for real‐time adaptive cardiac radioablation on a 1.5 T MR‐linac
by: Osman Akdag, et al.
Published: (2024)

Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction
by: Mayo, Perla, et al.
Published: (2025)

Time-efficient filtering of polarimetric data by checking physical realizability of experimental Mueller matrices
by: Novikova, Tatiana, et al.
Published: (2024)

$k$-$t$ CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction
by: Zhang, Liping, et al.
Published: (2023)

Analysis of effectiveness of thresholding in perfusion ROI detection on T2-weighted MR images with abnormal brain anatomy
by: Alkhimova, Svitlana, et al.
Published: (2019)

Extracting quantitative biological information from brightfield cell images using deep learning
by: Helgadottir, Saga, et al.
Published: (2020)