Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-23T03:23:51.238427Z
Paper Citation Record · LEDGER
Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling
As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2502.11378.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
54 of 54 outbound references displayed
- verified exact1
- verified fuzzy53
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.