Machine learning prediction of cardiac resynchronisation therapy response from combination of clinical and model-driven data S Khamzin, A Dokuchaev, A Bazhutina, T Chumarnaya, S Zubarev, ... Frontiers in physiology 12, 753282, 2021 | 19 | 2021 |
Mathematical modelling of the mechano-electric coupling in the human cardiomyocyte electrically connected with fibroblasts A Bazhutina, NA Balakina-Vikulova, A Kursanov, O Solovyova, A Panfilov, ... Progress in Biophysics and Molecular Biology 159, 46-57, 2021 | 19 | 2021 |
A modified mathematical model of the anatomy of the cardiac left ventricle AA Koshelev, AE Bazhutina, SF Pravdin, KS Ushenin, LB Katsnelson, ... Biophysics 61, 785-792, 2016 | 8 | 2016 |
Combination of personalized computational modeling and machine learning for optimization of left ventricular pacing site in cardiac resynchronization therapy A Dokuchaev, T Chumarnaya, A Bazhutina, S Khamzin, V Lebedeva, ... Frontiers in Physiology 14, 1162520, 2023 | 3 | 2023 |
Clinical evaluation of the new 12-lead ECG noninvasive epi-endocardial mapping technology M Chmelevsky, S Zubarev, S Khamzin, A Dokuchaev, A Bazhutina, ... Europace 25 (Supplement_1), euad122. 647, 2023 | 2 | 2023 |
Mathematical model of electrotonic interaction between mechanically active cardiomyocyte and fibroblasts A Bazhutina, N Balakina-Vikulova, O Solovyova, L Katsnelson 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and …, 2019 | 2 | 2019 |
Comparison of His-Purkinje and Biventricular pacing in patient-specific computer models A Dokuchaev, A Bazhutina, S Khamzin, S Zubarev, O Solovyova 2021 IEEE Ural-Siberian Conference on Computational Technologies in …, 2021 | 1 | 2021 |
Optimization of left ventricular lead position based on a computer model of the heart for cardiac resynchronization therapy S Khamzin, A Dokuchaev, A Bazhutina, T Chumarnaya, S Zubarev, ... 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and …, 2018 | 1 | 2018 |
The influence of the form and architecture of the cardiac left ventricle base and apex on dynamics of spiral waves AA Koshelev, SF Pravdin, AE Bazhutina CEUR Workshop Proceedings, 245-252, 2017 | 1 | 2017 |
Segmentation of surface meshes of the cardiac ventricles for the modeling of myofiber direction field AD Dokuchaev, SY Khamzin, KS Ushenin, AE Bazhutina, VS Zverev CEUR Workshop Proceedings, 236-244, 2017 | 1 | 2017 |
PO-06-043 FIRST RESULTS FROM CARDIAC RESYNCHRONIZATION THERAPY DELIVERY GUIDED BY NON-INVASIVE ELECTRICAL AND VENOUS ANATOMY ASSESSMENT (CRT-DRIVE) CLINICAL TRIAL M Chmelevsky, DJ Friedman, MP Lopez, L Mont, G Kollias, H Pürerfellner, ... Heart Rhythm 21 (5), S680-S681, 2024 | | 2024 |
An Automated Algorithm for Generating of AHA Model Based on 3D Heart Geometry A Bazhutina, S Khamzin, M Chmelevsky, S Zubarev, A Sinitca, ... 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
An Ensemble of Machine Learning Models for Multilabel Classification of Cardiovascular Diseases by ECGs A Bazhutina, S Khamzin, A Sinitca, M Chmelevsky, S Zubarev, ... 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
A Machine Learning-Based Approach for Automatic Coronary Sinus Vein Segmentation and Anatomy Reconstruction A Sinitca, M Chmelevsky, S Zubarev, A Shirshin, A Dokuchaev, ... 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
An Algorithm for Non-Invasive Mapping Based on Cardiac Anatomy and 12-Lead Electrocardiogram Data S Khamzin, A Bazhutina, A Sinitca, M Chmelevsky, S Zubarev, ... 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
Influence of Myocardial Fibrosis on Ventricular Activation in LBBB and During Biventricular Pacing: Simulation Study S Khamzin, A Bazhutina, A Makarov 2023 IEEE Ural-Siberian Conference on Computational Technologies in …, 2023 | | 2023 |
Personalized cardiac computer models and machine-learning for target vein selection in cardiac resynchronisation therapy A Bazhutina, K Ushenin, S Khamzin, V Kabak, S Zubarev, D Lebedev, ... 2023 IEEE Ural-Siberian Conference on Computational Technologies in …, 2023 | | 2023 |
Arsenii Dokuchaev1, Tatiana Chumarnaya1, 2, Anastasia Bazhutina1, 2, Svyatoslav Khamzin1, Viktoria Lebedeva3, Tamara Lyubimtseva1, 3, Stepan Zubarev1, 3, Dmitry Lebedev1, 3 and … A Dokuchaev, T Chumarnaya, A Bazhutina, S Khamzin, V Lebedeva, ... | | 2023 |
Accuracy of cardiac scar and fibrosis geometry in ventricular models affects electrical dyssynchrony biomarkers and ML prediction score of CRT response A Bazhutina, S Zubarev, M Budanova 2022 Ural-Siberian Conference on Computational Technologies in Cognitive …, 2022 | | 2022 |
Predicting CRT outcome by combining markers from personalized ventricular models of electrophysiology and clinical data R Rokeakh, A Bazhutina, S Khamzin, A Dokuchaev, T Chumarnaya, ... European Heart Journal 42 (Supplement_1), ehab724. 0710, 2021 | | 2021 |