| DeepNano: deep recurrent neural networks for base calling in MinION nanopore reads V Boža, B Brejová, T Vinař PloS one 12 (6), e0178751, 2017 | 291 | 2017 |
| Continuous sound collection using smartphones and machine learning to measure cough L Kvapilova, V Boza, P Dubec, M Majernik, J Bogar, J Jamison, ... Digital biomarkers 3 (3), 166-175, 2020 | 76 | 2020 |
| Nanopore base calling on the edge P Perešíni, V Boža, B Brejová, T Vinař Bioinformatics 37 (24), 4661-4667, 2021 | 42 | 2021 |
| DeepNano-blitz: a fast base caller for MinION nanopore sequencers V Boža, P Perešíni, B Brejová, T Vinař Bioinformatics 36 (14), 4191-4192, 2020 | 32 | 2020 |
| International evaluation of an artificial intelligence–powered electrocardiogram model detecting acute coronary occlusion myocardial infarction R Herman, HP Meyers, SW Smith, DT Bertolone, A Leone, K Bermpeis, ... European Heart Journal-Digital Health 5 (2), 123-133, 2024 | 28 | 2024 |
| GAML: genome assembly by maximum likelihood V Boža, B Brejová, T Vinař Algorithms for Molecular Biology 10, 1-10, 2015 | 18 | 2015 |
| Fast and Effective Weight Update for Pruned Large Language Models V Boža Transactions on Machine Learning Research, 2024 | 9* | 2024 |
| Validation of an automated artificial intelligence system for 12‑lead ECG interpretation R Herman, A Demolder, B Vavrik, M Martonak, V Boza, V Kresnakova, ... Journal of Electrocardiology 82, 147-154, 2024 | 9 | 2024 |
| Time-adjusted analysis shows weak associations between BCG vaccination policy and COVID-19 disease progression K Bod’ová, V Boža, B Brejová, R Kollár, K Mikušová, T Vinař MedRxiv, 2020.05. 01.20087809, 2020 | 6 | 2020 |
| System and method for patient monitoring of gastrointestinal function using automated stool classifications DR Karlin, P Dubec, M Majernik, V Boza, L Kvapilova, D Rajtarova US Patent 11,532,396, 2022 | 5 | 2022 |
| Anti-SARS-CoV-2 antibody status at the time of hospital admission and the prognosis of patients with COVID-19: a prospective observational study J Jurenka, A Nagyová, M Dababseh, P Mihalov, I Stankovič, V Boža, ... Infectious Disease Reports 14 (6), 1004-1016, 2022 | 5 | 2022 |
| Dynamic pooling improves nanopore base calling accuracy V Boža, P Perešíni, B Brejová, T Vinař IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2021 | 5 | 2021 |
| Improving nanopore reads raw signal alignment V Boža, B Brejová, T Vinař arXiv preprint arXiv:1705.01620, 2017 | 5 | 2017 |
| Validation of an artificial intelligence model for 12-lead ECG interpretation A Demolder, R Herman, B Vavrik, M Martonak, V Boza, M Herman, ... European Heart Journal 44 (Supplement_2), ehad655. 2932, 2023 | 3 | 2023 |
| Experimental comparison of set intersection algorithms for inverted indexing V Boža Tomáš Vinar (Ed.), 58, 2013 | 3 | 2013 |
| ECG-based deep learning for detecting epicardial coronary occlusion in acute myocardial infarction R Herman, HP Meyers, SW Smith, A Demolder, DT Bertolone, A Leone, ... European Heart Journal 44 (Supplement_2), ehad655. 2930, 2023 | 2 | 2023 |
| Merging of neural networks M Pašen, V Boža Neural Processing Letters 56 (1), 8, 2024 | 1 | 2024 |
| High Precision ECG Digitization Using Artificial Intelligence A Demolder, V Kresnakova, M Hojcka, V Boza, A Iring, A Rafajdus, ... medRxiv, 2024.08. 31.24312876, 2024 | 1 | 2024 |
| AI-Powered Smartphone Application for Detection of Left Ventricular Systolic Dysfunction using 12-Lead ECG A Demolder, R Herman, B Vavrik, M Martonak, V Boza, M Herman, ... Circulation 150 (Suppl_1), A4141318-A4141318, 2024 | | 2024 |
| A smartphone based AI model to detect left ventricular systolic dysfunction on 12-lead ECG A Demolder, R Herman, B Vavrik, M Martonak, V Boza, M Herman, ... European Heart Journal 45 (Supplement_1), ehae666. 3477, 2024 | | 2024 |
Tomas VinarComenius University in BratislavaVerified email at fmph.uniba.sk
