| Sources and fate of atmospheric microplastics revealed from inverse and dispersion modelling: From global emissions to deposition N Evangeliou, O Tichý, S Eckhardt, CG Zwaaftink, J Brahney Journal of Hazardous Materials 432, 128585, 2022 | 64 | 2022 |
| Bayesian blind separation and deconvolution of dynamic image sequences using sparsity priors O Tichý, V Šmídl IEEE transactions on medical imaging 34 (1), 258-266, 2015 | 41 | 2015 |
| Bayesian inverse modeling and source location of an unintended 131I release in Europe in the fall of 2011 O Tichý, V Šmídl, R Hofman, K Šindelářová, M Hýža, A Stohl Atmospheric Chemistry and Physics 17 (20), 12677-12696, 2017 | 36 | 2017 |
| LS-APC v1. 0: a tuning-free method for the linear inverse problem and its application to source-term determination O Tichý, V Šmídl, R Hofman, A Stohl Geoscientific Model Development 9 (11), 4297-4311, 2016 | 35* | 2016 |
| Source term estimation of multi‐specie atmospheric release of radiation from gamma dose rates O Tichý, V Šmídl, R Hofman, N Evangeliou Quarterly Journal of the Royal Meteorological Society 144 (717), 2781-2797, 2018 | 20 | 2018 |
| Bayesian non-negative matrix factorization with adaptive sparsity and smoothness prior O Tichý, L Bódiová, V Šmídl IEEE Signal Processing Letters 26 (3), 510-514, 2019 | 15 | 2019 |
| Automatic regions of interest in factor analysis for dynamic medical imaging V Šmídl, O Tichý 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 158-161, 2012 | 15 | 2012 |
| Real-time measurement of radionuclide concentrations and its impact on inverse modeling of 106Ru release in the fall of 2017 O Tichý, M Hýža, N Evangeliou, V Šmídl Atmospheric Measurement Techniques 14 (2), 803-818, 2021 | 12 | 2021 |
| On the tuning of atmospheric inverse methods: comparisons with the European Tracer Experiment (ETEX) and Chernobyl datasets using the atmospheric transport model FLEXPART O Tichý, L Ulrych, V Šmídl, N Evangeliou, A Stohl Geoscientific Model Development 13 (12), 5917-5934, 2020 | 11 | 2020 |
| Determination of radiological background fields designated for inverse modelling during atypical low wind speed meteorological episode P Pecha, O Tichý, E Pechová Atmospheric Environment 246, 118105, 2021 | 10 | 2021 |
| Collaborative sequential state estimation under unknown heterogeneous noise covariance matrices K Dedecius, O Tichý IEEE Transactions on Signal Processing 68, 5365-5378, 2020 | 10 | 2020 |
| Source term determination with elastic plume bias correction O Tichý, V Šmídl, N Evangeliou Journal of Hazardous Materials 425, 127776, 2022 | 9 | 2022 |
| Sparsity in Bayesian blind source separation and deconvolution V Šmídl, O Tichý Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 9 | 2013 |
| Non-parametric Bayesian models of response function in dynamic image sequences O Tichý, V Šmídl Computer Vision and Image Understanding 151, 90-100, 2016 | 6 | 2016 |
| LS-APC v1. 0: a tuning-free method for the linear inverse problem and its application to source-term determination, Geosci. Model Dev., 9, 4297–4311, 10.5194 O Tichý, V Šmídl, R Hofman, A Stohl gmd-9-4297-2016, 2016 | 6 | 2016 |
| Model-based extraction of input and organ functions in dynamic scintigraphic imaging O Tichý, V Šmídl, M Šámal Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2016 | 5 | 2016 |
| Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling O Tichý, S Eckhardt, Y Balkanski, D Hauglustaine, N Evangeliou Atmospheric Chemistry and Physics 23 (24), 15235-15252, 2023 | 3 | 2023 |
| Factor analysis of scintigraphic image sequences with integrated convolution model of factor curves V Šmídl, O Tichý, M Šámal Proceedings of the second international conference on Computational …, 2011 | 3 | 2011 |
| Potential Radioactive Hot Spots Induced by Radiation Accident Being Underway of Atypical Low Wind Meteorological Episodes P Pecha, O Tichý, E Pechová Inst. of Information Theory and Automation Praha, CZ, 2020 | 2 | 2020 |
| Bayesian blind source separation with unknown prior covariance O Tichý, V Šmídl Latent Variable Analysis and Signal Separation: 12th International …, 2015 | 2 | 2015 |
Vaclav SmidlInstitute of Information Theory and Automation & University of West Bohemia & Czech TechnicalVerified email at utia.cas.cz
