Bayesian blind separation and deconvolution of dynamic image sequences using sparsity priors

O Tichý, V Šmídl - IEEE transactions on medical imaging, 2014 - ieeexplore.ieee.org
A common problem of imaging 3-D objects into image plane is superposition of the
projected structures. In dynamic imaging, projection overlaps of organs and tissues …

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… - Geoscientific Model …, 2016 - gmd.copernicus.org
Estimation of pollutant releases into the atmosphere is an important problem in the
environmental sciences. It is typically formalized as an inverse problem using a linear model …

Blind deconvolution of sparse but filtered pulses with linear state space models

N Zalmai, H Malmberg… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
The paper considers the problem of joint system identification and input signal estimation of
an unknown linear system from noisy observations of the output signal. The input signal is …

Robust unmixing of dynamic sequences using regions of interest

M Filippi, M Desvignes, E Moisan - IEEE transactions on …, 2017 - ieeexplore.ieee.org
In dynamic planar imaging, extraction of signals specific to structures is complicated by
structures superposition. Due to overlapping, signals extraction with classic regions of …

[PDF][PDF] Robust Unmixing of Dynamic Sequences Using Regions of Interest (RUDUR)

M Filippi, M Desvignes… - IEEE transactions on …, 2017 - hal.univ-grenoble-alpes.fr
In dynamic planar imaging, extraction of signals specific to structures is complicated by
structures superposition. Due to overlapping, signals extraction with classic regions of …

Kinetic modeling of the dynamic PET brain data using blind source separation methods

O Tichý, V Šmídl - 2014 7th International Conference on …, 2014 - ieeexplore.ieee.org
Image-based definition of regions of interest is a typical prerequisite step for estimation of
time-activity curves in dynamic positron emission tomography (PET). This procedure is done …

Linear Inverse Problem with Range Prior on Correlations and Its Variational Bayes Inference

O Tichý, V Šmídl - Bayesian Statistics in Action: BAYSM 2016, Florence …, 2017 - Springer
The choice of regularization for an ill-conditioned linear inverse problem has significant
impact on the resulting estimates. We consider a linear inverse model with on the solution in …

Bayesian Estimation of Source Term of Atmospheric Radiation Release with Interval Prior

O Tichý, V Šmídl, R Hofman - 2016 - scholarsarchive.byu.edu
Detection of release of an atmospheric pollutant is a problem of interest in environmental
sciences. We are concerned with estimation of unknown source term of the release …

Estimation of input function from dynamic PET brain data using Bayesian blind source separation

O Tichý, V Šmídl - Computer Science and Information Systems, 2015 - doiserbia.nb.rs
Selection of regions of interest in an image sequence is a typical prerequisite step for
estimation of time-activity curves in dynamic positron emission tomography (PET). This …