| Inverse problems of immunology and epidemiology SI Kabanikhin, OI Krivorotko, DV Ermolenko, VN Kashtanova, ... Eurasian Journal of Mathematical and Computer Applications 5 (2), 14-35, 2017 | 24 | 2017 |
| A combined numerical algorithm for reconstructing the mathematical model for tuberculosis transmission with control programs S Kabanikhin, O Krivorotko, V Kashtanova Journal of Inverse and Ill-Posed Problems 26 (1), 121-131, 2018 | 21 | 2018 |
| EP-Net 2.0: Out-of-domain generalisation for deep learning models of cardiac electrophysiology V Kashtanova, I Ayed, N Cedilnik, P Gallinari, M Sermesant International Conference on Functional Imaging and Modeling of the Heart …, 2021 | 15 | 2021 |
| Global and local optimization in identification of parabolic systems O Krivorotko, S Kabanikhin, S Zhang, V Kashtanova Journal of Inverse and Ill-posed Problems 28 (6), 899-913, 2020 | 12 | 2020 |
| Deep Learning for Model Correction in Cardiac Electrophysiological Imaging V Kashtanova, I Ayed, A Arrieula, M Potse, P Gallinari, M Sermesant International Conference on Medical Imaging with Deep Learning, 665-675, 2022 | 7 | 2022 |
| APHYN-EP: Physics-based deep learning framework to learn and forecast cardiac electrophysiology dynamics V Kashtanova, M Pop, I Ayed, P Gallinari, M Sermesant International Workshop on Statistical Atlases and Computational Models of …, 2022 | 7 | 2022 |
| Identifiability analysis of inverse problems in biology V Latyshenko, O Krivorotko, S Kabanikhin, S Zhang, V Kashtanova, ... Proceedings of the 2nd International Conference on Computational Modeling …, 2017 | 6 | 2017 |
| Tensor train optimization for mathematical model of social networks K Sergey, K Olga, Z Shuhua, K Victoriya, W Yufang arXiv preprint arXiv:1906.05246, 2019 | 5 | 2019 |
| Simultaneous data assimilation and cardiac electrophysiology model correction using differentiable physics and deep learning V Kashtanova, M Pop, I Ayed, P Gallinari, M Sermesant Interface Focus 13 (6), 20230043, 2023 | 2 | 2023 |
| Identification the mathematical model of the transmission TB/HIV co-infection in endemic areas S Kabanikhin, O Krivorotko, V Kashtanova, V Latyshenko 2017 International Multi-Conference on Engineering, Computer and Information …, 2017 | 2 | 2017 |
| A combined numerical algorithm of parameters identificationinthe mathematical model of the transmission TB/HIV co-infection VN Kashtanova МНСК-2019. Математика, 91-91, 2019 | | 2019 |
| A numerical algorithm of parameter identification in mathematical model of tuberculosis transmission with control programs SI Kabanikhin, OI Krivorotko, VN Kashtanova Mathematical Modeling and High-Performance Computing in Bioinformatics …, 2018 | | 2018 |
| Regularization of inverse and ill-posed problems in biology OI Krivorotko, SI Kabanikhin, DV Yermolenko, VN Kashtanova, ... Mathematics in the Modern World, 341-341, 2017 | | 2017 |
| Solving the inverse problem for mathematical model of the transmission TB/HIV co-infection OI Krivorotko, VN Kashtanova Mathematics in the Modern World, 342-342, 2017 | | 2017 |
| A NUMERICAL ALGORITHM OF PARAMETER IDENTIFICATION IN MATHEMATICAL MODEL OF TUBERCULOSIS TRANSMISSION WITH CONTROL PROGRAMS VN Kashtanova, SI Kabanikhin, OI Krivorotko, DA Voronov Mathematical Modeling and High Performance Computing in Bioinformatics …, 2016 | | 2016 |
| NUMERICAL ALGORITHMS FOR SOLVING OF DIRECT AND INVERSE PROBLEMS IN EPIDEMIOLOGY AI Ilyin, SI Kabanikhin, OI Krivorotko, DA Voronov, VN Kashtanova SIBERIAN ELECTRONIC MATHEMATICAL REPORTS-SIBIRSKIE ELEKTRONNYE …, 2015 | | 2015 |
| Deep Learning Approach for Cardiac Electrophysiology Model Correction V Kashtanova, M Pop, M Sermesant ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 0 | | |
| Physics-based deep learning framework to learn and forecast cardiac electrophysiology dynamics V Kashtanova, M Sermesant 1st Workshop on the Synergy of Scientific and Machine Learning Modeling …, 0 | | |
