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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 2026-08-21T06:32:19.484+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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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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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 2026-08-21T06:32:19.484+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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No event found in the named queried sources as of 2026-08-21T06:32:19.484+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

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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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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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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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No event found in the named queried sources as of 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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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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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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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No event found in the named queried sources as of 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+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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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.186770Z digest=sha256:30a175ad7b4e6e24d5da5aeaa554530588cc4534a2f5b068ac6de98b9e62b230

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.189775Z digest=sha256:d484e35f0047e3f94f4e5e4fa3c412676dc8801acd76ce428e6660cdf9aead27

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.193600Z digest=sha256:82b1b02dd03fe6442d5afe64ccf2a7f67b66d4332c5da5ca2202b9c3009a4249

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.196720Z digest=sha256:e0d0d58517f03c65e3bccf1ebd8e9c8e947f24034ea4405935dee6c7dba6deb6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.200481Z digest=sha256:010f80938a8c70750dae4df8272dd3b43a1cf3393f0655b6e098490bbc62c94e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.203669Z digest=sha256:af8a4567cc63de97afa0b99600636e9eeee020f6b74624493474537b82708e9d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.206546Z digest=sha256:62ddf149207ad4df41ba0f73cf5b5f9042c6a4e89e08db4938b008a50ad1fed5

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.209491Z digest=sha256:60ccfb6525b6947d9ee00fb12466b9b72277b68fd00495cebac7ba7f76808828

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.212716Z digest=sha256:0e28ad2b956e983042d84511d20befe40ff390401a51826a3d8d1c4c99313d94

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.215888Z digest=sha256:5e08ba484566f5f5ca39f8d12c7c7cedff83e749551a67559a6c6fcc12e7fbf8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.219129Z digest=sha256:6dcd6d60bb9879c6546ee66e23baa11c4d97ea297e98a2e61eaac8ac918127be

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.222201Z digest=sha256:73977c786dfb76e6bcc907ec0f9181529dde1630999ed9a3df12cb4762c2d038

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.225016Z digest=sha256:98612f051f4df005e1e35fa829360e2acf49f2246eca9b84c24d31982136297c

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:b2c3df4363270951772b3ce78b2e5140b06d512e4ad6a5d2db1186a9290257ba

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.231175Z digest=sha256:8c56859ced1d2e0301f99116a1f1c8ba14285716c625e56ee1ed705a2aa6dca8

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:bcbe7f6087bd54ff1612c0a7e9ba7d23fcb249b577d1a6943881dc305dddafe5

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.236833Z digest=sha256:10e770170c42c4c93ba475a423938f2767d75387806b73bfa1ee4d3a91ce9eba

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.242991Z digest=sha256:623d3b3834d0db55f25641feaf53fa97e642b70ba91a6b21af122b80920951b2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.245780Z digest=sha256:744ad685acf242f9f483ceef6ff0ab97779698ac59044373ca6344ab180feecc

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.248748Z digest=sha256:5d29e98501c4f5365cf4fa1d5c5039a90f94f07597d2160cfd80bea0b424bf57

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.252008Z digest=sha256:b33efa06529aa37a140243cff505f1fda646f4461f3e6ee83fd84b3676cb02d4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.254917Z digest=sha256:dff67b0a69b11aef31801c6eca5d1697218c875e11eb67f1d18ade738e2e56b1

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T22:57:28.239903Z digest=sha256:1f7a7183425fa44fafacc2eb89b6cd647432261e9981da120bf4a09a6f8a60ae

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T14:37:29.919683Z digest=sha256:394ae5509a740714eb03927b84144815c5e3b39d5babe22fa3c1eba8e22b6ae1