Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling | Paper Citation Record

Observation 5bb1ac79-7476-424a-b2ae-21682cc0a7a7 · outbound

This paper cites Spatiotemporal differentiation of myocardial infarctions.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Spatiotemporal differentiation of myocardial infarctions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.605498Z

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Observation b19dc875-c565-47ec-9352-d16b2a0dccaa · outbound

This paper cites Optimal electrocardiographic leads for detecting acute myocardial ischemia.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Optimal electrocardiographic leads for detecting acute myocardial ischemia

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.711132Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45c65c3c-bf3f-4c6f-86c5-f3795ca77cc2 · outbound

This paper cites An xml format for storing body surface potential map recordings.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling An xml format for storing body surface potential map recordings

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.601697Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 14aef7b5-c90a-49f6-bf85-42afaa98887d · outbound

This paper cites Evaluation of arrhythmic causes of syncope: correlation between holter monitoring, electrophysiologic testing, and body surface potential map- ping.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Evaluation of arrhythmic causes of syncope: correlation between holter monitoring, electrophysiologic testing, and body surface potential map- ping

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.715046Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15428473-b10f-4348-abb6-61edc02a180d · outbound

This paper cites Noninvasive electrocardiographic imaging.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Noninvasive electrocardiographic imaging

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.609228Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2a1e0e0-e86b-4aa8-a434-e1840c6aefdc · outbound

This paper cites Optimal sensor placement for space–time potential mapping and data fusion.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Optimal sensor placement for space–time potential mapping and data fusion

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.613118Z

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Observation 0233c012-0e4c-4967-9ac6-1b938d1e0366 · outbound

This paper cites Sparse modeling and recursive prediction of space–time dynamics in stochastic sensor networks.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Sparse modeling and recursive prediction of space–time dynamics in stochastic sensor networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.593975Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4a0ab6c-b138-4b3b-8e2f-a895d5096a35 · outbound

This paper cites Noninvasive electrocardiographic imaging: reconstruction of epicardial potentials, electrograms, and isochrones and localization of single and multiple electrocardiac events.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Noninvasive electrocardiographic imaging: reconstruction of epicardial potentials, electrograms, and isochrones and localization of single and multiple electrocardiac events

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.597789Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9393a64e-51b7-4063-a15f-d66ebe705ca3 · outbound

This paper cites The forward and inverse problems of electrocardiog- raphy.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling The forward and inverse problems of electrocardiog- raphy

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.583226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df3f7563-892b-4c24-8361-6f185b66c557 · outbound

This paper cites Mesh resolution impacts the accuracy of inverse and forward ecg problems.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Mesh resolution impacts the accuracy of inverse and forward ecg problems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.549037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b1fae571-0f2d-4fd4-a980-3ff7dabfd1ed · outbound

This paper cites Spatiotemporal regularization for inverse ecg mod- eling.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Spatiotemporal regularization for inverse ecg mod- eling

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.579835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e71b64c1-7f4d-449e-b191-acae9a461ec6 · outbound

This paper cites Recent progress in inverse prob- lems in electrocardiology.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Recent progress in inverse prob- lems in electrocardiology

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.560509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d7e863d5-f2e7-4a14-8dfc-807554c1e455 · outbound

This paper cites Solution of physics-based bayesian inverse problems with deep generative priors.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Solution of physics-based bayesian inverse problems with deep generative priors

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.590490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f97783bf-a15e-4a32-b549-9ad9d55a796e · outbound

This paper cites Nonin- vasive electrocardiographic imaging for cardiac electrophysiology and arrhythmia.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Nonin- vasive electrocardiographic imaging for cardiac electrophysiology and arrhythmia

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.569344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 78d9528e-3835-4ea6-b57a-f6e312148c48 · outbound

This paper cites Solutions of ill posed problems (v. h. winston and sons, distributed by wiley, new york).

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Solutions of ill posed problems (v. h. winston and sons, distributed by wiley, new york)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.573086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2d014c92-df2c-4ba5-bbc7-163ea3e6e011 · outbound

This paper cites Physics-driven spatiotemporal regularization for high-dimensional predictive modeling: A novel approach to solve the inverse ecg problem.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Physics-driven spatiotemporal regularization for high-dimensional predictive modeling: A novel approach to solve the inverse ecg problem

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.616640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7becb61e-81b1-4432-bd06-1c03528fa82d · outbound

This paper cites Inter-model consistency and complementarity: Learning from ex-vivo imaging and electrophysiological data towards an integrated understanding of cardiac physiology.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Inter-model consistency and complementarity: Learning from ex-vivo imaging and electrophysiological data towards an integrated understanding of cardiac physiology

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.623948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ea4b5b5-319a-469b-86db-705be2fe41b3 · outbound

This paper cites An electromechanical model of the heart for image analysis and simulation.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling An electromechanical model of the heart for image analysis and simulation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.586958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de2070b3-d61c-494a-88bf-3e030ac8aa72 · outbound

This paper cites Physics-constrained deep learning for robust inverse ecg modeling.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Physics-constrained deep learning for robust inverse ecg modeling

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.564615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ddb36b5b-a9f6-4045-8df3-e17bf0a0ade1 · outbound

This paper cites Physics-informed neural networks for cardiac activation mapping.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Physics-informed neural networks for cardiac activation mapping

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.576499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce3e03ee-ffbe-4240-8054-d5d17d1a61e7 · outbound

This paper cites PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:25:20.668358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc37ddac-9f80-47f3-9b48-427d1f2b35f7 · outbound

This paper cites Relating epicardial to body surface potential distributions by means of transfer coefficients based on geometry measurements.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Relating epicardial to body surface potential distributions by means of transfer coefficients based on geometry measurements

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.619942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a5de275-0921-4bf0-9576-fdabf9cc10a7 · outbound

This paper cites An expert review of the inverse problem in electrocardiographic imaging for the non- invasive identification of atrial fibrillation drivers.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling An expert review of the inverse problem in electrocardiographic imaging for the non- invasive identification of atrial fibrillation drivers

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.541098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 08829850-93ca-4f16-b3e9-b4553e2c758f · outbound

This paper cites Resolution strategies for the finite-element-based solution of the ecg inverse problem.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Resolution strategies for the finite-element-based solution of the ecg inverse problem

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.545581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46b51096-2f7d-430e-bc34-4be409201e07 · outbound

This paper cites Ecg imaging to detect the site of ventricular ischemia using torso electrodes: a computational study.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Ecg imaging to detect the site of ventricular ischemia using torso electrodes: a computational study

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.552768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bce559b3-5b3b-4951-ab65-a233b9bf1302 · outbound

This paper cites The impact of torso signal processing on noninvasive electrocardiographic imaging reconstructions.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling The impact of torso signal processing on noninvasive electrocardiographic imaging reconstructions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.533111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 99519037-ba5a-4e81-a814-c92f99f1ec9d · outbound

This paper cites Reducing line-of-block artifacts in cardiac activation maps estimated using ecg imaging: A comparison of source models and estimation methods.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Reducing line-of-block artifacts in cardiac activation maps estimated using ecg imaging: A comparison of source models and estimation methods

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.526013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 13175b85-7836-4796-bcb8-eb9aa7610c47 · outbound

This paper cites The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.529665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5dff4b7d-ec44-4738-9269-b0c8f3201457 · outbound

This paper cites A new spatiotemporal regularization approach for reconstruction of cardiac transmembrane potential patterns.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling A new spatiotemporal regularization approach for reconstruction of cardiac transmembrane potential patterns

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.537091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8228aaec-527a-435a-8db6-2a10f6baa721 · outbound

This paper cites Physiological- model-constrained noninvasive reconstruction of volumetric myocardial 14 transmembrane potentials.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Physiological- model-constrained noninvasive reconstruction of volumetric myocardial 14 transmembrane potentials

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.556332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8d2f2993-b7f8-4f5d-a13d-93df8faa4f0a · outbound

This paper cites Hybrid neural state- space modeling for supervised and unsupervised electrocardiographic imaging.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Hybrid neural state- space modeling for supervised and unsupervised electrocardiographic imaging

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.628652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fe280073-e0e5-45c1-afd3-3f6424a5ef5d · outbound

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

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.632286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7337a4f9-94c9-43d8-90f1-11d2fb9dc48a · outbound

This paper cites Physics- informed neural networks (pinns) for fluid mechanics: A review.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Physics- informed neural networks (pinns) for fluid mechanics: A review

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.697184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc3f40a4-7a6f-4de4-a65a-d6d7e7b7ec4f · outbound

This paper cites Physics-informed deep learning for com- putational elastodynamics without labeled data.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Physics-informed deep learning for com- putational elastodynamics without labeled data

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.707514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d94bdc48-9899-4d1c-b406-dd69b4490eb3 · outbound

This paper cites Ep-pinns: Cardiac electrophysiology characterisation using physics-informed neural networks.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Ep-pinns: Cardiac electrophysiology characterisation using physics-informed neural networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.689905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a9a3a32-9518-4e73-83a2-03ffec3d4069 · outbound

This paper cites Physics-informed neural networks for brain hemodynamic predictions using medical imaging.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Physics-informed neural networks for brain hemodynamic predictions using medical imaging

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.693376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b77762c-34c8-46ce-9f09-6a0f2a634652 · outbound

This paper cites Physics-informed neural networks (pinns) for 4d hemodynamics prediction: an investigation of optimal framework based on vascular morphology.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Physics-informed neural networks (pinns) for 4d hemodynamics prediction: an investigation of optimal framework based on vascular morphology

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.679544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc42476e-048a-4e9c-a5d1-daf3755f5e98 · outbound

This paper cites Cardiovascular care with digital twin technology in the era of generative artificial intelligence.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Cardiovascular care with digital twin technology in the era of generative artificial intelligence

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.683070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 996f2334-6132-4d59-b812-8d1afa869e90 · outbound

This paper cites A spatial- temporally adaptive pinn framework for 3d bi-ventricular electrophysi- ological simulations and parameter inference.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling A spatial- temporally adaptive pinn framework for 3d bi-ventricular electrophysi- ological simulations and parameter inference

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.686430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c81bbd86-37e7-41e9-93b2-5402be02f4b7 · outbound

This paper cites Automatic differentiation in machine learning: a survey.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Automatic differentiation in machine learning: a survey

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.700494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 05eaf250-48af-4e1c-af47-744000e816d7 · outbound

This paper cites Can-pinn: A fast physics-informed neural network based on coupled-automatic– numerical differentiation method.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Can-pinn: A fast physics-informed neural network based on coupled-automatic– numerical differentiation method

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.662340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95ffb150-a86d-47b7-929f-fc295315c578 · outbound

This paper cites Dgm: A deep learning algorithm for solving partial differential equations.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Dgm: A deep learning algorithm for solving partial differential equations

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.666013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 60559b4a-a2d1-4750-960b-fd879f9a4441 · outbound

This paper cites Anderson, J.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Anderson, J

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.669242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e1c9bf5b-0a9f-4f04-9b54-b44dcd476fd9 · outbound

This paper cites Scientific machine learning through physics–informed neural networks: Where we are and what’s next.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Scientific machine learning through physics–informed neural networks: Where we are and what’s next

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.672742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4c78a17e-7e88-4fd8-b687-bc1eed8e4c57 · outbound

This paper cites A unified deep artificial neural network approach to partial differential equations in complex geometries.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling A unified deep artificial neural network approach to partial differential equations in complex geometries

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.658823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 63099479-a6fd-461b-9591-0a8b28513db3 · outbound

This paper cites A simple two-variable model of cardiac excitation.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling A simple two-variable model of cardiac excitation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.655127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce3c7351-495a-4046-a58c-b57e64283284 · outbound

This paper cites Review on classification based on artificial neural networks.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Review on classification based on artificial neural networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.647438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 536db707-732e-4de7-b8f2-73207be89fdc · outbound

This paper cites State-of-the-art in artificial neural network applications: A survey.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling State-of-the-art in artificial neural network applications: A survey

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.643937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7415db93-ab5d-4222-8711-8a0cf4b984af · outbound

This paper cites Deep learning for smart manufacturing: Methods and applications.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Deep learning for smart manufacturing: Methods and applications

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.651148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03840022-3d04-4938-8f5b-d68c6e01bed6 · outbound

This paper cites Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.676327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f776252a-8351-44b3-b22d-4106d6276cea · outbound

This paper cites A high-efficient hybrid physics-informed neural networks based on convolutional neural network.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling A high-efficient hybrid physics-informed neural networks based on convolutional neural network

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.703850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c6ba6db0-9610-4f01-943a-fc2feb268993 · outbound

This paper cites Physics informed neural network using finite difference method.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Physics informed neural network using finite difference method

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.718532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8d2c504f-306c-4709-b716-d5e42e466957 · outbound

This paper cites Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.635885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 132b570d-f323-49b6-94c8-8c9fcab6aca7 · outbound

This paper cites Using inverse electrocardiography to image myocardial infarction—reflecting on the 2007 physionet/computers in cardiology challenge.

Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling Using inverse electrocardiography to image myocardial infarction—reflecting on the 2007 physionet/computers in cardiology challenge

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T03:25:21.639713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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