Automatic regions of interest in factor analysis for dynamic medical imaging. - Václav Smídl; Ondrej Tichý (ISBI, 2012)

Sparsity in Bayesian Blind Source Separation and Deconvolution. - Václav Smídl; Ondrej Tichý (ECML/PKDD (2), 2013)

Kinetic modeling of the dynamic PET brain data using blind source separation methods. - Ondrej Tichý; Václav Smídl (BMEI, 2014)

Variational blind source separation toolbox and its application to hyperspectral image data. - Ondrej Tichý; Václav Smídl (EUSIPCO, 2015)

Bayesian Blind Source Separation with Unknown Prior Covariance. - Ondrej Tichý; Václav Smídl (LVA/ICA, 2015)

Estimation of input function from dynamic PET brain data using Bayesian blind source separation. - Ondrej Tichý; Václav Smídl (Comput. Sci. Inf. Syst., 2015)

Bayesian Blind Separation and Deconvolution of Dynamic Image Sequences Using Sparsity Priors. - Ondrej Tichý; Václav Smídl (IEEE Trans. Medical Imaging, 2015)

Model-based extraction of input and organ functions in dynamic scintigraphic imaging. - Ondrej Tichý; Václav Smídl; Martin Sámal (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016)

Non-parametric Bayesian models of response function in dynamic image sequences. - Ondrej Tichý; Václav Smídl (Comput. Vis. Image Underst., 2016)

Bayesian Non-Negative Matrix Factorization With Adaptive Sparsity and Smoothness Prior. - Ondrej Tichý; Lenka Bodiova; Václav Smídl (IEEE Signal Process. Lett., 2019)

Collaborative Sequential State Estimation Under Unknown Heterogeneous Noise Covariance Matrices. - Kamil Dedecius; Ondrej Tichý (IEEE Trans. Signal Process., 2020)

Potential Hazard of Accidental Radioactive Discharges into the Calm Atmosphere. - Petr Pecha; Miroslav Kárný; Emilie Pechová; Václav Smídl; Ondrej Tichý (ERCIM News, 2022)