| Comparison of unet, enet, and boxenet for segmentation of mast cells in scans of histological slices A Karimov, A Razumov, R Manbatchurina, K Simonova, I Donets, ... 2019 International Multi-Conference on Engineering, Computer and Information …, 2019 | 24 | 2019 |
| Anomaly detection in image datasets using convolutional neural networks, center loss, and mahalanobis distance G Vareldzhan, K Yurkov, K Ushenin 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and …, 2021 | 10 | 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 | 9 | 2016 |
| The susceptibility of the rat pulmonary and caval vein myocardium to the catecholamine‐induced ectopy changes oppositely in postnatal development VS Kuzmin, AD Ivanova, VM Potekhina, DV Samoilova, KS Ushenin, ... The Journal of Physiology 599 (11), 2803-2821, 2021 | 8 | 2021 |
| Teaching heart modeling and simulation on parallel computing systems A Sozykin, M Chernoskutov, A Koshelev, V Zverev, K Ushenin, ... Euro-Par 2015: Parallel Processing Workshops: Euro-Par 2015 International …, 2015 | 8 | 2015 |
| LeVen-a parallel system for simulation of the heart left ventricle A Sozykin, S Pravdin, A Koshelev, V Zverev, K Ushenin, O Solovyova 2015 9th International Conference on Application of Information and …, 2015 | 7 | 2015 |
| Human heart simulation software for parallel computing systems S Pravdin, K Ushenin, A Sozykin, O Solovyova Procedia Computer Science 66, 402-411, 2015 | 7 | 2015 |
| Parameter variations in personalized electrophysiological models of human heart ventricles K Ushenin, V Kalinin, S Gitinova, O Sopov, O Solovyova Plos one 16 (4), e0249062, 2021 | 5 | 2021 |
| Role of myocardial properties and pacing lead location on ECG in personalized paced heart models KS Ushenin, A Dokuchaev, SM Magomedova, OV Sopov, VV Kalinin, ... 2017 Computing in Cardiology (CinC), 1-4, 2017 | 5 | 2017 |
| Advances in Mass Spectrometry-Based Blood Metabolomics Profiling for Non-Cancer Diseases: A Comprehensive Review E Demicheva, V Dordiuk, F Polanco Espino, K Ushenin, S Aboushanab, ... Metabolites 14 (1), 54, 2024 | 4 | 2024 |
| High temperature and hyperkalemia cause exit block of action potentials at the atrioventricular junction of rainbow trout (Oncorhynchus mykiss) heart V Kuzmin, KS Ushenin, IV Dzhumaniiazova, D Abramochkin, M Vornanen Journal of Thermal Biology 110, 103378, 2022 | 4 | 2022 |
| Electrophysiological biomarkers for age-related changes in human atrial cardiomyocytes: In silico study T Nesterova, K Ushenin, D Shmarko, O Solovyova ITM Web of Conferences 31, 01004, 2020 | 4 | 2020 |
| The study of the influence of heart ventricular wall thickness on pseudo-ECG AA Razumov, KS Ushenin, KA Butova, OE Solovyova Russian Journal of Numerical Analysis and Mathematical Modelling 33 (5), 301-313, 2018 | 4 | 2018 |
| On uniqueness theorems for the inverse problem of electrocardiography in the Sobolev spaces V Kalinin, A Shlapunov, K Ushenin ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte …, 2023 | 3 | 2023 |
| Anatomical model of rat ventricles to study cardiac arrhythmias under infarction injury R Rokeakh, T Nesterova, K Ushenin, E Polyakova, D Sonin, M Galagudza, ... Mathematics 9 (20), 2604, 2021 | 3 | 2021 |
| Effects of lead position, cardiac rhythm variation and drug-induced QT prolongation on performance of machine learning methods for ECG processing M Bogdanov, S Baigildin, A Fabarisova, K Ushenin, O Solovyova 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and …, 2020 | 3 | 2020 |
| Computational workflow system for simulation of living systems on supercomputers KS Ushenin, EY Kuklin, AV Sozykin, DA Byordov PCT 2016 Parallel Computing Technologies, 729-735, 2016 | 3 | 2016 |
| Compressor-Based Classification for Atrial Fibrillation Detection N Markov, K Ushenin, Y Bozhko, O Solovyova 2023 IEEE Ural-Siberian Conference on Computational Technologies in …, 2023 | 2 | 2023 |
| Cardiac segmentation on magnetic resonance imaging data with deep learning methods AA Razumov, YN Tya-Shen-Tin, KS Ushenin AIP Conference Proceedings 2174 (1), 2019 | 2 | 2019 |
| Segmentation and classification of mast cells in histological images with deep learning AF Karimov, RR Manbatchurina, KA Simonova, AR Mishin, IV Donets, ... AIP Conference Proceedings 2174 (1), 2019 | 2 | 2019 |
Artem RazumovSkolkovo Institute of Science and Technology在 skoltech.ru 的电子邮件经过验证
