Ondřej Tichy
Ondřej Tichy
Institute of Information Theory and Automation
Verified email at utia.cas.cz
Cited by
Cited by
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, 2014
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 inverse modeling and source location of an unintended 131I release in Europe in the fall of 2011
O Tichý, V Šmídl, R Hofman, K Sindelarova, M Hýza, A Stohl
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
Sparsity in Bayesian blind source separation and deconvolution
V Šmídl, O Tichý
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
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
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
Non-parametric bayesian models of response function in dynamic image sequences
O Tichý, V Šmídl
Computer Vision and Image Understanding 151, 90-100, 2016
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
Semi-supervised Bayesian Source Separation of Scintigraphic Image Sequences
L Bódiová, O Tichý, V Šmídl
European Congress on Computational Methods in Applied Sciences and …, 2017
Linear Inverse Problem with Range Prior on Correlations and Its Variational Bayes Inference
O Tichý, V Šmídl
International Conference on Bayesian Statistics in Action, 91-101, 2016
Hierarchical Prior for Source Term Determination and Its Variational Bayes Estimation
H Radek, Š Václav, T Ondřej
CTBT: Science and Technology, 142-142, 2015
Estimation of input function from dynamic PET brain data using Bayesian blind source separation
O Tichý, V Šmídl
Computer Science and Information Systems 12 (4), 1273-1287, 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
Variational Bayes Approximation for Distributed Fully Probabilistic Design
Š Václav, T Ondřej
Contributions to 6th International Workshop on Data-Algorthms-Decision …, 1803
Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods
T Ondřej, Š Václav
The 2014 7th International Conference on BioMedical Engineering and …, 0
Variational Blind Source Separation Toolbox and its Application to Hyperspectral Image Data
T Ondřej, Š Václav
Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015 …, 0
Variational Bayes in Distributed Fully Probabilistic Decision Making
Š Václav, T Ondřej
The 2nd International Workshop od Decision Making with Multiple Imperfect …, 0
Decentralization of Fully Probabilistic Control Design using Variational Bayes Approximation
T Ondřej, Š Václav
Contributions to 7th International Workshop on Data-Algorithms-Decision …, 0
Kinetic modeling of the dynamic PET brain data using blind source separation methods
O Tichý, V Šmídl
2014 7th International Conference on Biomedical Engineering and Informatics …, 2014
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