Research graph
References from I-GraphECG: Observability-Based Lead Selection and Interpretable Disease Prediction from the 12-Lead ECG Using a Gray-Box Graph Electrophysiology Surrogate. Local targets link to admitted publications; unresolved targets remain external evidence.
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
10.1038/s41591-018-0268-3 · 2019 · External reference
Automatic diagnosis of the 12-lead ECG using a deep neural network
10.1038/s41467-020-15432-4 · 2020 · External reference
Deep learning for ECG analysis: Benchmarks and insights from PTB-XL
10.1109/jbhi.2020.3022989 · 2021 · External reference
Models of cardiac tissue electrophysiology: Progress, challenges and open questions
10.1016/j.pbiomolbio.2010.05.008 · 2011 · External reference
10.1007/978-3-319-04801-7
10.1007/978-3-319-04801-7 · External reference
Computational models in cardiology
10.1038/s41569-018-0104-y · 2019 · External reference
A framework for the generation of digital twins of cardiac electrophysiology from clinical 12-lead ECGs
10.1016/j.media.2021.102080 · 2021 · External reference
10.1109/cdc.2010.5717225
10.1109/cdc.2010.5717225 · External reference
ECG-FM: An open electrocardiogram foundation model
10.1093/jamiaopen/ooaf122 · 2025 · External reference
10.3390/diagnostics15151950
10.3390/diagnostics15151950 · External reference
Unresolved reference
External reference
Improving explainability of deep neural network-based electrocardiogram interpretation using variational auto-encoders
10.1093/ehjdh/ztac038 · 2022 · External reference
A unique cardiac electrocardiographic 3D model. Toward interpretable AI diagnosis
10.1016/j.isci.2022.105617 · 2022 · External reference
10.3389/fphy.2020.00042
10.3389/fphy.2020.00042 · External reference
10.3389/fcvm.2021.768419
10.3389/fcvm.2021.768419 · External reference
10.3390/s20113278
10.3390/s20113278 · External reference
10.3390/s21165542
10.3390/s21165542 · External reference
AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessment
10.1038/s41746-024-01193-7 · 2024 · External reference
10.3390/s26010212
10.3390/s26010212 · External reference
Optimal ECG-lead selection increases generalizability of deep learning on ECG abnormality classification
10.1098/rsta.2020.0258 · 2021 · External reference
Limited lead selection for estimation of body surface potential maps in electrocardiography
10.1109/tbme.1978.326332 · 1978 · External reference
Optimal electrocardiographic lead systems: Practical scenarios in smart clothing and wearable health systems
10.1109/titb.2007.896882 · 2008 · External reference
Optimal electrode placements for localizing premature ventricular contractions using a single dipole
10.1016/j.compbiomed.2024.109264 · 2024 · External reference
Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model
10.1016/j.jcp.2017.06.020 · 2017 · External reference
Reconstruction of three-dimensional biventricular activation based on the 12-lead electrocardiogram via patient-specific modelling
2021 · External reference
Inference of ventricular activation properties from non-invasive electrocardiography
10.1016/j.media.2021.102143 · 2021 · External reference
Accurate and efficient cardiac digital twin from surface ECGs: Insights into identifiability of ventricular conduction system
10.1016/j.media.2025.103641 · 2025 · External reference
10.1371/journal.pdig.0001624
10.1371/journal.pdig.0001624 · External reference
Toward enabling cardiac digital twins of myocardial infarction using deep computational models for inverse inference
10.1109/tmi.2024.3367409 · 2024 · External reference
PTB-XL, a large publicly available electrocardiography dataset
10.1038/s41597-020-0495-6 · 2020 · External reference
PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals
10.1161/01.cir.101.23.e215 · 2000 · External reference
NeuroKit2: A Python toolbox for neurophysiological signal processing
10.3758/s13428-020-01516-y · 2021 · External reference
10.1145/2939672.2939785
10.1145/2939672.2939785 · External reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · External reference
A simple two-variable model of cardiac excitation
10.1016/0960-0779(95)00089-5 · 1996 · External reference
Impulses and physiological states in theoretical models of nerve membrane
10.1016/s0006-3495(61)86902-6 · 1961 · External reference
10.1007/978-1-84882-046-3
10.1007/978-1-84882-046-3 · External reference
Reconstruction of the Frank vectorcardiogram from standard electrocardiographic leads: Diagnostic comparison of different methods
10.1093/oxfordjournals.eurheartj.a059647 · 1990 · External reference
Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood
10.1093/bioinformatics/btp358 · 2009 · External reference
Unresolved reference
External reference
Effective dimensionality: A tutorial
10.1080/00273171.2020.1743631 · 2021 · External reference
Practice standards for electrocardiographic monitoring in hospital settings: An American Heart Association scientific statement
10.1161/01.cir.0000145144.56673.59 · 2004 · External reference
Update to practice standards for electrocardiographic monitoring in hospital settings: A scientific statement from the American Heart Association
10.1161/cir.0000000000000527 · 2017 · External reference
Sensor selection via convex optimization
10.1109/tsp.2008.2007095 · 2009 · External reference
Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies
2008 · External reference
An analysis of approximations for maximizing submodular set functions—I
10.1007/bf01588971 · 1978 · External reference
On submodularity and controllability in complex dynamical networks
10.1109/tcns.2015.2453711 · 2016 · External reference
Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020
10.1088/1361-6579/abc960 · 2020 · External reference
An open access database for evaluating the algorithms of electrocardiogram rhythm and morphology abnormality detection
2018 · External reference
Evaluating the feasibility of 12-lead electrocardiogram reconstruction from limited leads using deep learning
10.1038/s43856-025-00814-w · 2025 · External reference
10.1007/978-1-84882-046-3
10.1007/978-1-84882-046-3 · ExternalCitation · doi-reference
10.1007/978-3-319-04801-7
10.1007/978-3-319-04801-7 · ExternalCitation · doi-reference
An analysis of approximations for maximizing submodular set functions—I
10.1007/bf01588971 · ExternalCitation · doi-reference
A simple two-variable model of cardiac excitation
10.1016/0960-0779(95)00089-5 · ExternalCitation · doi-reference
Optimal electrode placements for localizing premature ventricular contractions using a single dipole
10.1016/j.compbiomed.2024.109264 · ExternalCitation · doi-reference
A unique cardiac electrocardiographic 3D model. Toward interpretable AI diagnosis
10.1016/j.isci.2022.105617 · ExternalCitation · doi-reference
Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model
10.1016/j.jcp.2017.06.020 · ExternalCitation · doi-reference
A framework for the generation of digital twins of cardiac electrophysiology from clinical 12-lead ECGs
10.1016/j.media.2021.102080 · ExternalCitation · doi-reference
Inference of ventricular activation properties from non-invasive electrocardiography
10.1016/j.media.2021.102143 · ExternalCitation · doi-reference
Accurate and efficient cardiac digital twin from surface ECGs: Insights into identifiability of ventricular conduction system
10.1016/j.media.2025.103641 · ExternalCitation · doi-reference
Models of cardiac tissue electrophysiology: Progress, challenges and open questions
10.1016/j.pbiomolbio.2010.05.008 · ExternalCitation · doi-reference
Impulses and physiological states in theoretical models of nerve membrane
10.1016/s0006-3495(61)86902-6 · ExternalCitation · doi-reference
Automatic diagnosis of the 12-lead ECG using a deep neural network
10.1038/s41467-020-15432-4 · ExternalCitation · doi-reference
Computational models in cardiology
10.1038/s41569-018-0104-y · ExternalCitation · doi-reference
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
10.1038/s41591-018-0268-3 · ExternalCitation · doi-reference
PTB-XL, a large publicly available electrocardiography dataset
10.1038/s41597-020-0495-6 · ExternalCitation · doi-reference
AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessment
10.1038/s41746-024-01193-7 · ExternalCitation · doi-reference
Evaluating the feasibility of 12-lead electrocardiogram reconstruction from limited leads using deep learning
10.1038/s43856-025-00814-w · ExternalCitation · doi-reference
Effective dimensionality: A tutorial
10.1080/00273171.2020.1743631 · ExternalCitation · doi-reference
Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020
10.1088/1361-6579/abc960 · ExternalCitation · doi-reference
Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood
10.1093/bioinformatics/btp358 · ExternalCitation · doi-reference
Improving explainability of deep neural network-based electrocardiogram interpretation using variational auto-encoders
10.1093/ehjdh/ztac038 · ExternalCitation · doi-reference
ECG-FM: An open electrocardiogram foundation model
10.1093/jamiaopen/ooaf122 · ExternalCitation · doi-reference
Reconstruction of the Frank vectorcardiogram from standard electrocardiographic leads: Diagnostic comparison of different methods
10.1093/oxfordjournals.eurheartj.a059647 · ExternalCitation · doi-reference
Optimal ECG-lead selection increases generalizability of deep learning on ECG abnormality classification
10.1098/rsta.2020.0258 · ExternalCitation · doi-reference
10.1109/cdc.2010.5717225
10.1109/cdc.2010.5717225 · ExternalCitation · doi-reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · ExternalCitation · doi-reference
Deep learning for ECG analysis: Benchmarks and insights from PTB-XL
10.1109/jbhi.2020.3022989 · ExternalCitation · doi-reference
Limited lead selection for estimation of body surface potential maps in electrocardiography
10.1109/tbme.1978.326332 · ExternalCitation · doi-reference
On submodularity and controllability in complex dynamical networks
10.1109/tcns.2015.2453711 · ExternalCitation · doi-reference
Optimal electrocardiographic lead systems: Practical scenarios in smart clothing and wearable health systems
10.1109/titb.2007.896882 · ExternalCitation · doi-reference
Toward enabling cardiac digital twins of myocardial infarction using deep computational models for inverse inference
10.1109/tmi.2024.3367409 · ExternalCitation · doi-reference
Sensor selection via convex optimization
10.1109/tsp.2008.2007095 · ExternalCitation · doi-reference
10.1145/2939672.2939785
10.1145/2939672.2939785 · ExternalCitation · doi-reference
Practice standards for electrocardiographic monitoring in hospital settings: An American Heart Association scientific statement
10.1161/01.cir.0000145144.56673.59 · ExternalCitation · doi-reference
PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals
10.1161/01.cir.101.23.e215 · ExternalCitation · doi-reference
Update to practice standards for electrocardiographic monitoring in hospital settings: A scientific statement from the American Heart Association
10.1161/cir.0000000000000527 · ExternalCitation · doi-reference
10.1371/journal.pdig.0001624
10.1371/journal.pdig.0001624 · ExternalCitation · doi-reference
10.3389/fcvm.2021.768419
10.3389/fcvm.2021.768419 · ExternalCitation · doi-reference
10.3389/fphy.2020.00042
10.3389/fphy.2020.00042 · ExternalCitation · doi-reference
10.3390/diagnostics15151950
10.3390/diagnostics15151950 · ExternalCitation · doi-reference
10.3390/s20113278
10.3390/s20113278 · ExternalCitation · doi-reference
10.3390/s21165542
10.3390/s21165542 · ExternalCitation · doi-reference
10.3390/s26010212
10.3390/s26010212 · ExternalCitation · doi-reference
NeuroKit2: A Python toolbox for neurophysiological signal processing
10.3758/s13428-020-01516-y · ExternalCitation · doi-reference
