Non-parametric Bayesian models of response function in dynamic image sequences

O Tichý, V Šmídl - Computer Vision and Image Understanding, 2016 - Elsevier
Estimation of response functions is an important task in dynamic medical imaging. This task
arises for example in dynamic renal scintigraphy, where impulse response or retention …
被引用次数：6 相关文章

Non-parametric Bayesian Models of Response Function in Dynamic Image Sequences

O Tichý, V Šmídl - arXiv e-prints, 2015 - ui.adsabs.harvard.edu
Estimation of response functions is an important task in dynamic medical imaging. This task
arises for example in dynamic renal scintigraphy, where impulse response or retention …

Non-parametric Bayesian models of response function in dynamic image sequences

O Tichý, V Šmídl - Computer Vision and Image Understanding, 2016 - infona.pl
Estimation of response functions is an important task in dynamic medical imaging. This task
arises for example in dynamic renal scintigraphy, where impulse response or retention …

Non-parametric Bayesian models of response function in dynamic image sequences

O Tichý, V Šmídl - Computer Vision and Image Understanding, 2016 - dl.acm.org
Bayesian blind source separation and deconvolution problem is introduced. Source
dynamics is a result of convolution of unknown input and response functions. We propose …
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[PDF][PDF] Non-parametric Bayesian models of response function in dynamic image sequences

O Tichý, V Šmídl - 2015 - library.utia.cas.cz
abstract Estimation of response functions is an important task in dynamic medical imaging.
This task arises for example in dynamic renal scintigraphy, where impulse response or …

Non-parametric Bayesian Models of Response Function in Dynamic Image Sequences

O Tichý, V Šmídl - arXiv preprint arXiv:1503.05684, 2015 - arxiv.org
Estimation of response functions is an important task in dynamic medical imaging. This task
arises for example in dynamic renal scintigraphy, where impulse response or retention …