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Model order reduction for left ventricular mechanics via congruency training

PloS one, 2020-01, Vol.15 (1), p.e0219876-e0219876

2020

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Gaussian Process Regressions for Inverse Problems and Parameter Searches in Models of Ventricular Mechanics

Frontiers in physiology, 2018-08, Vol.9, p.1002-1002

2018

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Machine Learning Prediction of Cardiac Resynchronisation Therapy Response From Combination of Clinical and Model-Driven Data

Frontiers in physiology, 2021-12, Vol.12, p.753282-753282

2021

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Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action

Journal of pharmacokinetics and pharmacodynamics, 2022-02, Vol.49 (1), p.51-64

2022

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Combination of personalized computational modeling and machine learning for optimization of left ventricular pacing site in cardiac resynchronization therapy

Frontiers in physiology, 2023-07, Vol.14, p.1162520-1162520

2023

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In-silico study of age-related ionic remodeling in human ventricular cardiomyocytes

BIO Web of Conferences, 2020, Vol.22, p.1024

2020

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Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data

Applied sciences, 2022-07, Vol.12 (13), p.6438

2022

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In silico study of drug-effects on cardiomyocytes during aging

AIP Conference Proceedings, 2022, Vol.2390 (1)

2022

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B-PO05-009 COMBINATION OF CLINICAL DATA AND PERSONALIZED VENTRICULAR MODEL SIMULATIONS FOR CARDIAC RESYNCHRONIZATION THERAPY OUTCOME PREDICTION

Heart rhythm, 2021-08, Vol.18 (8), p.S374-S375

2021

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PO-06-043 FIRST RESULTS FROM CARDIAC RESYNCHRONIZATION THERAPY DELIVERY GUIDED BY NON-INVASIVE ELECTRICAL AND VENOUS ANATOMY ASSESSMENT (CRT-DRIVE) CLINICAL TRIAL

Heart rhythm, 2024-05, Vol.21 (5), p.S680-S681

2024

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Prediction of CRT Response on Personalized Computer Models

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, p.352-363

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Population Based Approach for Detection Myocardial Scar Based on 12-lead ECG: Simulation Study

2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 2022, p.80-83

Khamzin, Svyatoslav

2022

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Automated Parallel Simulation of Heart Electrical Activity Using Finite Element Method

Algorithms and Architectures for Parallel Processing, p.365-372

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Development of a Novel Machine Learning-based Methodology for the Differential Diagnosis of Wide QRS Complex Arrhythmias Using Automated Analysis of 12-Lead ECG

2023 Computing in Cardiology (CinC), 2023, Vol.50, p.1-4

2023

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Influence of Myocardial Fibrosis on Ventricular Activation in LBBB and During Biventricular Pacing: Simulation Study

2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 2023, p.227-230

2023

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An Automated Algorithm for Generating of AHA Model Based on 3D Heart Geometry

2023 Computing in Cardiology (CinC), 2023, Vol.50, p.1-4

2023

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An Algorithm for Non-Invasive Mapping Based on Cardiac Anatomy and 12-Lead Electrocardiogram Data

2023 Computing in Cardiology (CinC), 2023, Vol.50, p.1-4

2023

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An Ensemble of Machine Learning Models for Multilabel Classification of Cardiovascular Diseases by ECGs

2023 Computing in Cardiology (CinC), 2023, Vol.50, p.1-4

2023

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Personalized Cardiac Computer Models and Machine-Learning for Target Vein Selection in Cardiac Resynchronisation Therapy

2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 2023, p.236-241

2023

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Assessment of the Variability in the QRS Complex due to the Heterogeneity in Conduction Velocity in the Ventricles of the Heart: In-Silico Study

2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 2020, p.0008-0011

2020

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Comparison of CRT Optimization Results for Different Accuracy Personalized Models

2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 2021, p.420-424

2021

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Comparison of His-Purkinje and Biventricular pacing in patient-specific computer models

2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 2021, p.400-403

2021

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A Machine Learning-Based Approach for Automatic Coronary Sinus Vein Segmentation and Anatomy Reconstruction

2023 Computing in Cardiology (CinC), 2023, Vol.50, p.1-4

2023

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Impact of the Transmural Dimension of Infarction Scar on the Dynamics of Spiral Waves in Realistic Models of the Human Heart's Left Ventricle

2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 2019, p.131-134

2019

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Removing Artifacts from Computed Tomography Images of Heart Using Neural Network with Partial Convolution Layer

2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 2020, p.195-198

2020

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Model order reduction for left ventricular mechanics via congruency training

Gaussian Process Regressions for Inverse Problems and Parameter Searches in Models of Ventricular Mechanics

Machine Learning Prediction of Cardiac Resynchronisation Therapy Response From Combination of Clinical and Model-Driven Data

Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action

Combination of personalized computational modeling and machine learning for optimization of left ventricular pacing site in cardiac resynchronization therapy

In-silico study of age-related ionic remodeling in human ventricular cardiomyocytes

Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data

In silico study of drug-effects on cardiomyocytes during aging

B-PO05-009 COMBINATION OF CLINICAL DATA AND PERSONALIZED VENTRICULAR MODEL SIMULATIONS FOR CARDIAC RESYNCHRONIZATION THERAPY OUTCOME PREDICTION

PO-06-043 FIRST RESULTS FROM CARDIAC RESYNCHRONIZATION THERAPY DELIVERY GUIDED BY NON-INVASIVE ELECTRICAL AND VENOUS ANATOMY ASSESSMENT (CRT-DRIVE) CLINICAL TRIAL

Prediction of CRT Response on Personalized Computer Models

Population Based Approach for Detection Myocardial Scar Based on 12-lead ECG: Simulation Study

Automated Parallel Simulation of Heart Electrical Activity Using Finite Element Method

Development of a Novel Machine Learning-based Methodology for the Differential Diagnosis of Wide QRS Complex Arrhythmias Using Automated Analysis of 12-Lead ECG

Influence of Myocardial Fibrosis on Ventricular Activation in LBBB and During Biventricular Pacing: Simulation Study

An Automated Algorithm for Generating of AHA Model Based on 3D Heart Geometry

An Algorithm for Non-Invasive Mapping Based on Cardiac Anatomy and 12-Lead Electrocardiogram Data

An Ensemble of Machine Learning Models for Multilabel Classification of Cardiovascular Diseases by ECGs

Personalized Cardiac Computer Models and Machine-Learning for Target Vein Selection in Cardiac Resynchronisation Therapy

Assessment of the Variability in the QRS Complex due to the Heterogeneity in Conduction Velocity in the Ventricles of the Heart: In-Silico Study

Comparison of CRT Optimization Results for Different Accuracy Personalized Models

Comparison of His-Purkinje and Biventricular pacing in patient-specific computer models

A Machine Learning-Based Approach for Automatic Coronary Sinus Vein Segmentation and Anatomy Reconstruction

Impact of the Transmural Dimension of Infarction Scar on the Dynamics of Spiral Waves in Realistic Models of the Human Heart's Left Ventricle

Removing Artifacts from Computed Tomography Images of Heart Using Neural Network with Partial Convolution Layer

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