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Ondřej Tichy
Ondřej Tichy
Institute of Information Theory and Automation
Verified email at utia.cas.cz
Title
Cited by
Cited by
Year
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
382015
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
26*2016
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
252017
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
142018
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
132012
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
112019
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
92022
Collaborative sequential state estimation under unknown heterogeneous noise covariance matrices
K Dedecius, O Tichý
IEEE Transactions on Signal Processing 68, 5365-5378, 2020
92020
Sparsity in Bayesian blind source separation and deconvolution
V Šmídl, O Tichý
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
82013
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
62021
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
62021
Non-parametric bayesian models of response function in dynamic image sequences
O Tichý, V Šmídl
Computer Vision and Image Understanding 151, 90-100, 2016
62016
Source term determination with elastic plume bias correction
O Tichý, V Šmídl, N Evangeliou
Journal of Hazardous Materials 425, 127776, 2022
52022
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
52020
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
52016
Real-time measurement of radionuclide concentrations and its impact on inverse modeling of 106Ru release in the fall of 2017
O Tichý, M Hýža, V Šmídl
Atmospheric Measurement Techniques Discussions 2020, 1-21, 2020
42020
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
32011
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
22020
Variational blind source separation toolbox and its application to hyperspectral image data
O Tichý, V Šmídl
2015 23rd European Signal Processing Conference (EUSIPCO), 1326-1330, 2015
12015
Bayesian blind source separation with unknown prior covariance
O Tichý, V Šmídl
Latent Variable Analysis and Signal Separation: 12th International …, 2015
12015
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