Ondřej Tichy
Ondřej Tichy
Institute of Information Theory and Automation
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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
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
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
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
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
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
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
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
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
Collaborative sequential state estimation under unknown heterogeneous noise covariance matrices
K Dedecius, O Tichý
IEEE Transactions on Signal Processing 68, 5365-5378, 2020
Sparsity in Bayesian blind source separation and deconvolution
V Šmídl, O Tichý
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
Source term determination with elastic plume bias correction
O Tichý, V Šmídl, N Evangeliou
Journal of Hazardous Materials 425, 127776, 2022
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
Non-parametric Bayesian models of response function in dynamic image sequences
O Tichý, V Šmídl
Computer Vision and Image Understanding 151, 90-100, 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
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
Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling
O Tichý, S Eckhardt, Y Balkanski, D Hauglustaine, N Evangeliou
EGUsphere 2023, 1-30, 2023
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
Bayesian blind source separation with unknown prior covariance
O Tichý, V Šmídl
Latent Variable Analysis and Signal Separation: 12th International …, 2015
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
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