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Paper Citation Record · LEDGER

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation

As of 22 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2506.20696.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.20696 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:57:28.254917Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:37:29.919683Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T14:37:30.459755Z

Reference resolution

53 of 53 outbound references displayed

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  • verified fuzzy40
  • unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0ebe413-eb3a-4eae-89cf-7184c9446a06 · outbound

This paper cites Co-attention spatial transformernetworkforunsupervisedmotiontrackingandcardiacstrainanalysisin3dechocardiography.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Co-attention spatial transformernetworkforunsupervisedmotiontrackingandcardiacstrainanalysisin3dechocardiography

Reference 1

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Observation 1599f3f8-faad-482d-9582-527cf8ae3214 · outbound

This paper cites A model of the mechanics of the left ventricle.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation A model of the mechanics of the left ventricle

Reference 2

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Observation 2f5f001e-1068-47de-bf00-7c8499a5ad2c · outbound

This paper cites an unresolved cited work.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation aedd74de-b47c-4b8c-affd-41ddd0b1f63c · outbound

This paper cites Ontheusageofaveragehausdorff distance for segmentation performance assessment: hidden error when used for ranking.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Ontheusageofaveragehausdorff distance for segmentation performance assessment: hidden error when used for ranking

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0f16265d-9ed9-486a-b36f-e99a0ee19295 · outbound

This paper cites Voxelmorph: a learning framework for deformable medical image registration.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Voxelmorph: a learning framework for deformable medical image registration

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ec1fbe07-f560-47df-9212-6527753ff8d8 · outbound

This paper cites Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: Is the problem solved? IEEE Transactions on Medical Imaging 37, 2514–2525.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: Is the problem solved? IEEE Transactions on Medical Imaging 37, 2514–2525

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 21d58d1c-fc32-433a-a66a-a1aef9f1847c · outbound

This paper cites Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c9ba55cd-f786-40e2-8711-0612cdaa8d38 · outbound

This paper cites Reduced-order modeling of blood flow for noninvasive functional evaluation of coronary artery disease.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Reduced-order modeling of blood flow for noninvasive functional evaluation of coronary artery disease

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8a6b5fb1-a981-4926-9d06-192939db5853 · outbound

This paper cites Assessment of systolic and diastolic ventricular properties via pressure-volume analysis: a guide for clinical, translational, and basic researchers.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Assessment of systolic and diastolic ventricular properties via pressure-volume analysis: a guide for clinical, translational, and basic researchers

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8a5cabd4-b66f-49bb-a52b-8602c9d24d7d · outbound

This paper cites Full cardiac cycle asynchronous temporal compounding of 3d echocardiography images.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Full cardiac cycle asynchronous temporal compounding of 3d echocardiography images

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0ff108cc-f616-4555-a12d-a9ef6ce75ad8 · outbound

This paper cites Gaussian process regressions for inverse problems and parameter searches in models of ventricular mechanics.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Gaussian process regressions for inverse problems and parameter searches in models of ventricular mechanics

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4919664f-de61-4f14-9365-9671aafe65e0 · outbound

This paper cites Cardiac Diagnosis and Treatment.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Cardiac Diagnosis and Treatment

Reference 12

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 754be98c-1050-42b1-bfd4-1d59ea5bb862 · outbound

This paper cites Dynamicfinite-strainmodellingofthehumanleftventricleinhealthanddisease using an immersed boundary-finite element method.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Dynamicfinite-strainmodellingofthehumanleftventricleinhealthanddisease using an immersed boundary-finite element method

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 02dcc0ac-59b1-42ab-8c13-d18f7a1e18c0 · outbound

This paper cites Electro-mechanical modelling of in-vivo human left ventricle.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Electro-mechanical modelling of in-vivo human left ventricle

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation de2518c7-5c9c-4856-92fc-b63d9904afc1 · outbound

This paper cites Equilibrated warping: Finite element image registration with finite strain equilibrium gap regularization.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Equilibrated warping: Finite element image registration with finite strain equilibrium gap regularization

Reference 15

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 40967121-fe2a-4694-a72b-693c808d8b2f · outbound

This paper cites Gmsh: A 3-d finite element mesh generator with built-in pre-and post-processing facilities.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Gmsh: A 3-d finite element mesh generator with built-in pre-and post-processing facilities

Reference 16

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Source-reported events for the cited work

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Observation 0e8e21e1-f8fb-474e-8af1-4cdb4b4ebcd1 · outbound

This paper cites Pre-intervention myocardial stress is a good predictor of aortic valvuloplasty outcome for fetal critical aortic stenosis and evolving hlhs.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Pre-intervention myocardial stress is a good predictor of aortic valvuloplasty outcome for fetal critical aortic stenosis and evolving hlhs

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 747ebdfb-cb8e-421e-9da1-0f3f6bdfb5a1 · outbound

This paper cites The dependency of fetal left ventricular biomechanics function on myocardium helix angle configuration.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation The dependency of fetal left ventricular biomechanics function on myocardium helix angle configuration

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation abe17e92-36af-48ad-a34e-d4596c21d158 · outbound

This paper cites Myocardialbiomechanicaleffectsoffetalaorticvalvuloplasty.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Myocardialbiomechanicaleffectsoffetalaorticvalvuloplasty

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 512d5097-b080-49e3-b0a9-9af9e7caa8e8 · outbound

This paper cites Passive material properties of intact ventricular myocardium determined from a cylindrical model.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Passive material properties of intact ventricular myocardium determined from a cylindrical model

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5a6e2e81-7adb-46d9-a8c5-4b2d04bb8328 · outbound

This paper cites Feedback attention to enhance unsupervised deep learning image registration in 3d echocardiography.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Feedback attention to enhance unsupervised deep learning image registration in 3d echocardiography

Reference 21

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 35e5d24a-6cd7-40d4-8773-33857fbcfaef · outbound

This paper cites an unresolved cited work.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f427ba98-92f5-4636-a092-060772ccff38 · outbound

This paper cites Determining optical flow.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Determining optical flow

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5b223086-93d9-4f10-9d9a-b2e27106cc6b · outbound

This paper cites Improvingtheaccuracyofregistration-basedbiomechanicalanalysis: a finite element approach to lung regional strain quantification.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Improvingtheaccuracyofregistration-basedbiomechanicalanalysis: a finite element approach to lung regional strain quantification

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 07e12f62-267d-4267-bc6b-2bc91ba9ca63 · outbound

This paper cites Reviewing 3d convolutional neural network approaches for medical image segmentation.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Reviewing 3d convolutional neural network approaches for medical image segmentation

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 82714845-d6d0-4ed7-b72f-74210572ef61 · outbound

This paper cites Intracardiac pressures in the human fetus.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Intracardiac pressures in the human fetus

Reference 26

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raw_fallback, observed 2026-08-06T22:57:28.822573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 432eaff7-bdbc-4bfe-84d7-389217f2ac9f · outbound

This paper cites Elastix:atoolboxforintensity-basedmedicalimageregistration.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Elastix:atoolboxforintensity-basedmedicalimageregistration

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.173888Z digest=sha256:0603a2844f86e95f128d3e4178859202fdfa79913d75de0ecdfd5c950d3efa4a

Observation 1bf42b3a-6816-4812-8829-a524e55f930a · outbound

This paper cites Scattereddatainterpolationwithmultilevelb-splines.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Scattereddatainterpolationwithmultilevelb-splines

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2d716028-7fae-4708-890a-f2d336e792ff · outbound

This paper cites A comparison of methods for gradient field estimation on simplicial meshes.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation A comparison of methods for gradient field estimation on simplicial meshes

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.804698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 35d36470-28b2-4205-beaa-c84970260ad4 · outbound

This paper cites Model reduction techniques for fast blood flow simulation in parametrized geometries.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Model reduction techniques for fast blood flow simulation in parametrized geometries

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.795714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.186770Z digest=sha256:cbc316ad06b147e856b01d62451161e0fd6f54e227d7601373bb1f0dad0eee70

Observation e4ac4493-31ae-4ce1-9635-76f2eea1278d · outbound

This paper cites an unresolved cited work.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:57:28.786313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.189775Z digest=sha256:4182fdec7bd19a88d27799145fa5545efdedf9cb172a6afef676d46bf58afb58

Observation cee8cc57-605f-49f0-bde6-a831a076c006 · outbound

This paper cites Normal pressures in the heart and great vessels.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Normal pressures in the heart and great vessels

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.777679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.193600Z digest=sha256:f44cab5dd6b2b7aefdf23ef1b45e29b50e24e2546f26c6099b42cca0026e6a59

Observation 942ad66c-fdd4-419e-9e35-4b777e53481c · outbound

This paper cites Strain energy density.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Strain energy density

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.768651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.196720Z digest=sha256:2ac8b3e60e151beb61fab904c35f4e95e7265fdcad4688dc8a13ee2094539967

Observation d69e7eda-40a4-4d3f-9ebf-9bc810f70a5a · outbound

This paper cites A neural network finite element approach for high speed cardiac mechanics simulations.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation A neural network finite element approach for high speed cardiac mechanics simulations

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.759688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.200481Z digest=sha256:9e216189de9016cfd034c36dce0e56575c24b6720c58c459ad291e229024b77f

Observation 74c4a3e5-9b5a-48a7-add6-4f3646a9a173 · outbound

This paper cites Effects of local activation times on the tension development of human cardiomyocytes in a computational model.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Effects of local activation times on the tension development of human cardiomyocytes in a computational model

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.750681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.203669Z digest=sha256:dc9d195aaa3c5c5b62902e4bccaa7ea4067c7bf948bd46d8c364b420f8e75a83

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.741417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.206546Z digest=sha256:fc126e844bf3b807d4e814c4e284f8ed4264977f7176f531111ff1999b5c4ef2

Observation f024940d-c292-4a83-879c-c9087a29fecc · outbound

This paper cites Biomechanics of human fetal hearts with critical aortic stenosis.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Biomechanics of human fetal hearts with critical aortic stenosis

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.732290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.209491Z digest=sha256:424a2e4591de1104fd1b0148be05ad05447bb646108c8067f0f41b38f948a08f

Observation 4bbfcea6-1030-4d2a-8445-c8e52c648456 · outbound

This paper cites Numerical solution of parametrized navier–stokes equations by reduced basis methods.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Numerical solution of parametrized navier–stokes equations by reduced basis methods

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.721875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.212716Z digest=sha256:f759ce9304451b84c52e94689b16e3a5f3163d63990f5aeb4f0bc35e46618b1c

Observation b1f28617-1931-4bba-b5cb-8b9df2d581da · outbound

This paper cites Contractile properties of developing human fetal cardiac muscle.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Contractile properties of developing human fetal cardiac muscle

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.711917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.215888Z digest=sha256:9ee32137c30200ad04336f493700341342ed99449790799107a7085ad4dbb5cb

Observation 0e8d3000-5af4-438f-8631-802d1946c6bd · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.702472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.219129Z digest=sha256:df797513930a711dbdfc8893f0514550e395f245a81324c8941bdf163d49761e

Observation 2d6c92b4-a381-4e93-87aa-3d6b7c2c568e · outbound

This paper cites Model reduction for fluids, using balanced proper orthogonal decomposition.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Model reduction for fluids, using balanced proper orthogonal decomposition

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.692704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.222201Z digest=sha256:10719b06b7572d523b3597f2a6e5ff4df4e12fcbbf82975ac36645e0720b345e

Observation 3f8488ce-c959-4b96-80b1-9bc953952243 · outbound

This paper cites Advancements in finite element modeling for cardiac device leads and 3d heart models.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Advancements in finite element modeling for cardiac device leads and 3d heart models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.683114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.225016Z digest=sha256:14b3d7a0401a9d4d770a6df4516e81a6155e332482432cf52e21ada10f044e53

Observation e293a6ee-8f51-4323-9a09-a7722bc42f74 · outbound

This paper cites Highspatialresolutionmulti-organfiniteelementmodelingofventricular-arterialcoupling.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Highspatialresolutionmulti-organfiniteelementmodelingofventricular-arterialcoupling

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T22:57:28.228283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:57:28.228283Z digest=sha256:4bbcb4fd91798ed16e71576d9cb3062e44ad6801155f7114b92f34669f5d4592

Observation 430778ee-c2b9-4e0b-9dcd-f897fe9dcd2d · outbound

This paper cites 3ddigitalgeometrydesignsforpoland’ssyndromeusingmagicsandgeomagic®freeform®.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation 3ddigitalgeometrydesignsforpoland’ssyndromeusingmagicsandgeomagic®freeform®

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.668139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.231175Z digest=sha256:1ef714567f3fd5ed2b55751a7d270ef519ed76f889496166db37fd6c7298da1f

Observation eef8d134-d7fc-40f5-8c3d-7464ca8a5743 · outbound

This paper cites Image-based predictive modeling of heart mechanics.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Image-based predictive modeling of heart mechanics

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T22:57:28.233941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:57:28.233941Z digest=sha256:bc05e23de509c4a35534f4e0133d2cbd2ee30acc978b05633f1e687609c2c9f3

Observation 0de81a07-ec3d-40c8-9c9d-43f8c7dc7632 · outbound

This paper cites an unresolved cited work.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:57:28.652982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.236833Z digest=sha256:46fb3450d3126ae8730e11be49fdcbf97cae630780e4762442103f79862c753c

Observation c08ceaf1-82b4-4ace-a1a9-632cc33127c9 · outbound

This paper cites First evidence of depressed contractility in the border zone of a human myocardial infarction.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation First evidence of depressed contractility in the border zone of a human myocardial infarction

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.634056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.242991Z digest=sha256:95e06a070c360517981139c0df0ab1310f90c9397a42dbf8f2f1876524f130f0

Observation b3bdcf6f-b303-4628-b460-abc59c526591 · outbound

This paper cites Cardiac motion estimation from medical images: a regularisation framework applied on pairwise image registration displacement fields.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Cardiac motion estimation from medical images: a regularisation framework applied on pairwise image registration displacement fields

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.624124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.245780Z digest=sha256:21b2150b7711f962765206ae7cc1116432994217a4c752cef323315b7eaa407a

Observation 0c531b4f-b1c1-4f3b-a66c-b6c0653c6db1 · outbound

This paper cites Fluid mechanics of human fetal right ventricles from image-based computational fluid dynamics using 4d clinical ultrasound scans.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Fluid mechanics of human fetal right ventricles from image-based computational fluid dynamics using 4d clinical ultrasound scans

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.615051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.248748Z digest=sha256:278a61c698953d4c1c129aa64c04453507a8b51a87e639726242db147d079f8a

Observation d360a021-c2e4-46f0-ac32-705cc5827d82 · outbound

This paper cites Anovelmri-basedfiniteelement modeling method for calculation of myocardial ischemia effect in patients with functional mitral regurgitation.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Anovelmri-basedfiniteelement modeling method for calculation of myocardial ischemia effect in patients with functional mitral regurgitation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.605258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.252008Z digest=sha256:5f8a20870a0b0065dbb7405f273423288e9218b8f7eb0be5969d0cd311cad6de

Observation 977335d3-cc4f-4455-8330-3e59ddec7b6b · outbound

This paper cites Morphological, functional, and biomechanical progression of lv remodelling in a porcine model of hfpef.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Morphological, functional, and biomechanical progression of lv remodelling in a porcine model of hfpef

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:57:28.596057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.254917Z digest=sha256:904c5140da049d2bce36e5de1712042a5ed17685adbaf5ce1d880c3c52b92b45

Observation b8775174-8d07-42d5-a9a9-cf848750ace7 · outbound

This paper cites an unresolved cited work.

IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation Unresolved cited work

Reference 2010

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:57:28.643447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:57:28.239903Z digest=sha256:ee3f4c83768831614ce448828df114b8cfffca5e13a5cec69b909563a9e1deee

Pith citing papers

Observation 570c5430-8f57-4448-b8e1-9fbd9bea2b6f · inbound

HeartUnloadNet: A Weakly-Supervised Cycle-Consistent Graph Network for Predicting Unloaded Cardiac Geometry from Diastolic States cites this paper.

HeartUnloadNet: A Weakly-Supervised Cycle-Consistent Graph Network for Predicting Unloaded Cardiac Geometry from Diastolic States IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:37:30.471987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:37:29.919683Z digest=sha256:c7ed3f3642a43845e55f6152e9c77ef97266b703abfdaa6c95040f1816315c69