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Vladimir Boza
Vladimir Boza
Verified email at fmph.uniba.sk
Title
Cited by
Cited by
Year
DeepNano: deep recurrent neural networks for base calling in MinION nanopore reads
V Boža, B Brejová, T Vinař
PloS one 12 (6), e0178751, 2017
2602017
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
672020
DeepNano-blitz: a fast base caller for MinION nanopore sequencers
V Boža, P Perešíni, B Brejová, T Vinař
Bioinformatics 36 (14), 4191-4192, 2020
312020
Nanopore base calling on the edge
P Perešíni, V Boža, B Brejová, T Vinař
Bioinformatics 37 (24), 4661-4667, 2021
302021
GAML: genome assembly by maximum likelihood
V Boža, B Brejová, T Vinař
Algorithms for Molecular Biology 10 (1), 1-10, 2015
182015
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
62020
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
52021
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
42022
Improving Nanopore Reads Raw Signal Alignment
V Boža, B Brejová, T Vinař
arXiv preprint arXiv:1705.01620, 2017
42017
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
32022
Experimental comparison of set intersection algorithms for inverted indexing
V Boža
Tomáš Vinar (Ed.), 58, 2013
32013
Merging of neural networks
M Pašen, V Boža
Neural Processing Letters 56 (1), 8, 2024
12024
Fast and Optimal Weight Update for Pruned Large Language Models
V Boža
arXiv preprint arXiv:2401.02938, 2024
12024
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
12024
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
12023
FCL-STL, a generics-based template library for FreePascal
V BOŽA, M Forišek
Olympiads in Informatics 6, 2012
12012
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, ztad074, 2023
2023
Validation of Deep Learning System for Comprehensive 12-Lead ECG Interpretation
R Herman, A Demolder, B Vavrik, M Martonak, V Boza, D Fabbricatore, ...
Circulation 148 (Suppl_1), A17037-A17037, 2023
2023
Deep Learning Electrocardiogram Detecting Acute Coronary Occlusion in Myocardial Infarction Presenting Without ST-Elevation
R Herman, HP Meyers, SW Smith, DT BERTOLONE, A Demolder, V Boza, ...
Circulation 148 (Suppl_1), A17298-A17298, 2023
2023
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
2023
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