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

Observation 15fbbebd-455a-4c92-8002-c9e0dff38e68 · outbound

This paper cites Warppinn: Cine- mr image registration with physics-informed neural networks.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Warppinn: Cine- mr image registration with physics-informed neural networks

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This paper cites The sequence of regional ventricular motion.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks The sequence of regional ventricular motion

Reference 2

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Observation 77039424-a747-4bcb-83b3-dceb75e48001 · outbound

This paper cites Modeling of cardiac fibers as oriented liquid crystals.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Modeling of cardiac fibers as oriented liquid crystals

Reference 3

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Observation 83b9066c-cb17-4665-a382-8f5b8d501e5e · outbound

This paper cites A novel rule-based algorithm for assigning myocar- dial fiber orientation to computational heart models.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks A novel rule-based algorithm for assigning myocar- dial fiber orientation to computational heart models

Reference 4

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This paper cites A comparison of both dense and feature tracking techniques with tagging for the cardiovascular magnetic resonance assessment of myocardial strain.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks A comparison of both dense and feature tracking techniques with tagging for the cardiovascular magnetic resonance assessment of myocardial strain

Reference 5

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This paper cites Longitudinally and circumferentially directed movements of the left ventricle studied by cardiovascular magnetic resonance phase contrast velocity mapping.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Longitudinally and circumferentially directed movements of the left ventricle studied by cardiovascular magnetic resonance phase contrast velocity mapping

Reference 6

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

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Observation a1875c8c-d09a-4ba7-9251-d4352c4d3ff9 · outbound

This paper cites Studying dynamic myofiber aggregate reorientation in dilated cardiomyopathy using in vivo mag- netic resonance diffusion tensor imaging.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Studying dynamic myofiber aggregate reorientation in dilated cardiomyopathy using in vivo mag- netic resonance diffusion tensor imaging

Reference 8

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Observation ec71c20b-f368-4b92-94f6-472b3b1a1f72 · outbound

This paper cites A rule-based method to model myocardial fiber orien- tation in cardiac biventricular geometries with outflow tracts.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks A rule-based method to model myocardial fiber orien- tation in cardiac biventricular geometries with outflow tracts

Reference 9

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This paper cites Myofiber angle distributions in the ovine left ventricle do not conform to computationally optimized predictions.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Myofiber angle distributions in the ovine left ventricle do not conform to computationally optimized predictions

Reference 10

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This paper cites Automatic quantitation of re- gional myocardial wall motion and thickening from gated technetium-99m sestamibi myocardial perfusion single-photon emission computed tomography.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Automatic quantitation of re- gional myocardial wall motion and thickening from gated technetium-99m sestamibi myocardial perfusion single-photon emission computed tomography

Reference 11

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Observation a307d282-1f58-4df0-8dd3-f1594732577d · outbound

This paper cites Novel therapeutic concepts the epidemic of cardiovascular disease in the developing world: global implications.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Novel therapeutic concepts the epidemic of cardiovascular disease in the developing world: global implications

Reference 12

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Observation bba273b6-f303-4b49-84ec-c47b8be965c3 · outbound

This paper cites Characterizing cardiac involvement in amyloidosis using cardiovascular magnetic resonance diffusion tensor imaging.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Characterizing cardiac involvement in amyloidosis using cardiovascular magnetic resonance diffusion tensor imaging

Reference 13

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This paper cites Cmr diffusion tensor imaging provides novel imaging markers of adverse myocardial remodeling in aortic stenosis.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Cmr diffusion tensor imaging provides novel imaging markers of adverse myocardial remodeling in aortic stenosis

Reference 14

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Observation bace01c8-9be9-4810-86ee-3a26a6c6793c · outbound

This paper cites Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps

Reference 15

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Observation 8a6da14f-b591-42ca-86b7-119e5c126dc7 · outbound

This paper cites Structural changes in muscle during contraction: Interference microscopy of living muscle fibres.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Structural changes in muscle during contraction: Interference microscopy of living muscle fibres

Reference 16

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Observation f5021806-23f6-405a-99d8-951f1410079a · outbound

This paper cites Changes in the cross-striations of muscle during contraction and stretch and their structural interpretation.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Changes in the cross-striations of muscle during contraction and stretch and their structural interpretation

Reference 17

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Observation 4715dc13-9d0c-4a8d-8306-6d4b4bab831a · outbound

This paper cites Diffusion tensor cardiovascular magnetic reso- nance in cardiac amyloidosis.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Diffusion tensor cardiovascular magnetic reso- nance in cardiac amyloidosis

Reference 18

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Observation 8032f796-eeb4-475b-a647-61bae0efe30f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Adam: A Method for Stochastic Optimization

Reference 19

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Observation bb5fb668-c20e-444c-88c5-218945293e4b · outbound

This paper cites Systematic review and meta-analysis for the value of cardiac magnetic resonance strain to predict cardiac outcomes.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Systematic review and meta-analysis for the value of cardiac magnetic resonance strain to predict cardiac outcomes

Reference 20

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Observation 16e08a38-0cb4-4ca6-933d-4ddc6ed0bcda · outbound

This paper cites Statistically-driven 3d fiber recon- struction and denoising from multi-slice cardiac dti using a markov random field model.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Statistically-driven 3d fiber recon- struction and denoising from multi-slice cardiac dti using a markov random field model

Reference 21

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Observation e4c320bc-6873-4c5a-9e1e-64452885f894 · outbound

This paper cites Effects of orientation of myocardial fibers on the contractility of left ventricle.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Effects of orientation of myocardial fibers on the contractility of left ventricle

Reference 22

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

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WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Human atlas of the cardiac fiber architecture: Study on a healthy population

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This paper cites ilogdemons: A demons-based registra- tion algorithm for tracking incompressible elastic biological tissues.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks ilogdemons: A demons-based registra- tion algorithm for tracking incompressible elastic biological tissues

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Observation eb8a0d63-6498-4ad6-855f-b501093e9f2b · outbound

This paper cites 2025 heart disease and stroke statistics: A report of us and global data from the american heart association.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks 2025 heart disease and stroke statistics: A report of us and global data from the american heart association

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This paper cites Mitral annular plane systolic excursion as a surrogate for left ventricular ejection fraction.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Mitral annular plane systolic excursion as a surrogate for left ventricular ejection fraction

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

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This paper cites Global burden of cardiovascular diseases and risks, 1990-.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Global burden of cardiovascular diseases and risks, 1990-

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This paper cites Three-dimensional systolic strain patterns in the normal human left ventricle: characterization with tagged mr imaging.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Three-dimensional systolic strain patterns in the normal human left ventricle: characterization with tagged mr imaging

Reference 30

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Observation 593dc0aa-a8f7-49d2-b71d-44c7a2983fc9 · outbound

This paper cites Deepstrain: A deep learning workflow for the auto- mated characterization of cardiac mechanics.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Deepstrain: A deep learning workflow for the auto- mated characterization of cardiac mechanics

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Observation 851c8444-6df5-4ad4-ad05-e7c520ac3f4f · outbound

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WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Myofiber strain in healthy humans using dense and cdti

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This paper cites Myofiber strain in healthy humans using dense and cdti.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Myofiber strain in healthy humans using dense and cdti

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

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Observation 7c7dcf23-b8d4-40ca-8b5f-be1d178cba91 · outbound

This paper cites Estimat- ing cardiomyofiber strain in vivo by solving a computational model.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Estimat- ing cardiomyofiber strain in vivo by solving a computational model

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Observation a197a95a-f316-42e9-943e-d56dc78d4c56 · outbound

This paper cites Quantification of 3d regional myocardial wall thickening from gated magnetic resonance images.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Quantification of 3d regional myocardial wall thickening from gated magnetic resonance images

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This paper cites On the spectral bias of neural networks, in: Chaudhuri, K., Salakhutdinov, R.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks On the spectral bias of neural networks, in: Chaudhuri, K., Salakhutdinov, R

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Observation a669f6e1-32d5-48b5-b1fd-34b7cea79d58 · outbound

This paper cites Optimization of cardiac fiber orientation for homogeneous fiber strain at beginning of ejection.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Optimization of cardiac fiber orientation for homogeneous fiber strain at beginning of ejection

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This paper cites Impact of intraventricular septal fiber orientation on cardiac electromechanical function.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Impact of intraventricular septal fiber orientation on cardiac electromechanical function

Reference 39

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This paper cites A technique for measuring anisotropy in atrial conduction to estimate conduction velocity and atrial fibre direction.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks A technique for measuring anisotropy in atrial conduction to estimate conduction velocity and atrial fibre direction

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Observation 6e8208d3-bd04-4d7f-853b-d194b5a048e6 · outbound

This paper cites Fiber orientation and ejection fraction in the human left ventricle.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Fiber orientation and ejection fraction in the human left ventricle

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This paper cites Histological validation of myocardial mi- crostructure obtained from diffusion tensor magnetic resonance imaging.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Histological validation of myocardial mi- crostructure obtained from diffusion tensor magnetic resonance imaging

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This paper cites Reconstruction of cardiac ventricular geometry and fiber orientation using magnetic resonance imaging.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Reconstruction of cardiac ventricular geometry and fiber orientation using magnetic resonance imaging

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WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Defini- tion of left ventricular segments for cardiac magnetic resonance imaging

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WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Pulmonary hypertension and indicators of right ventricular function

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correction dated 2023-11-27. Source: crossref record 10.1136/openhrt-2023-002452corr1->10.1136/openhrt-2023-002452:correction, observed 2026-07-11T03:04:47.11658+00:00. This notice travels one citation hop only.

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

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Observation e4ffbed6-b1df-4743-9e60-4e3921d48a5f · outbound

This paper cites Chapter 1.2 - cardiovascular mechanics and disease, in: Niebur, G.L.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Chapter 1.2 - cardiovascular mechanics and disease, in: Niebur, G.L

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Observation 70d72088-fe03-4e0b-8e04-ef9a6bf198f5 · outbound

This paper cites Global bur- den of cardiovascular diseases and its risk factors, 1990–2021: A systematic analysis for the global burden of disease study 2021.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Global bur- den of cardiovascular diseases and its risk factors, 1990–2021: A systematic analysis for the global burden of disease study 2021

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WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Fourier features let networks learn high frequency functions in low dimensional domains

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This paper cites Measurement of left ventricular wall thick- ness and mass by echocardiography.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Measurement of left ventricular wall thick- ness and mass by echocardiography

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This paper cites A model to determine the effect of collagen fiber alignment on heart function post myocardial infarction.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks A model to determine the effect of collagen fiber alignment on heart function post myocardial infarction

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This paper cites On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR 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

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This paper cites Normal reference values for mitral annular plane systolic excursion by motion-mode and speckle tracking echocardiography: a prospective, multicentre, population-based study.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Normal reference values for mitral annular plane systolic excursion by motion-mode and speckle tracking echocardiography: a prospective, multicentre, population-based study

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This paper cites Metabolic disorders and risk of cardiovascular diseases: a two-sample mendelian randomization study.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Metabolic disorders and risk of cardiovascular diseases: a two-sample mendelian randomization study

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WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Generating fibre orientation maps in human heart models using poisson interpolation

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This paper cites Cardiovascular diseases (cvds) fact sheet.http://www.who.int/en/ news-room/fact-sheets/detail/cardiovascular-diseases-(cvds).

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Cardiovascular diseases (cvds) fact sheet.http://www.who.int/en/ news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)

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WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Global burden of metabolic diseases, 1990–2021

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WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Numerical evaluation of myofiber orientation and transmural contractile strength on left ventricular function

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

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WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Heart-muscle fiber reconstruction from diffusion tensor mri, in: IEEE Visualization,

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This paper cites 1016/S0735-1097(97)00276-3.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks 1016/S0735-1097(97)00276-3

Reference 1367

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WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks On a novel approach for modeling liquid crystalline flows

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This paper cites Medical Image Analysis 17, 632–648.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks Medical Image Analysis 17, 632–648

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WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks 3389/fcvm.2021.730316, doi:10.3389/fcvm.2021.730316

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This paper cites URL:https://www.sciencedirect.

WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks URL:https://www.sciencedirect

Reference 2022

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