0480504 - ÚTIA 2019 RIV CH eng C - Conference Paper (international conference)
Bódiová, L. - Tichý, Ondřej - Šmídl, Václav
Semi-supervised Bayesian Source Separation of Scintigraphic Image Sequences.
European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2017: VipIMAGE 2017). Vol. 27. Cham: Springer, 2018, s. 52-61. Lecture Notes in Computational Vision and Biomechanics, 27. ISBN 978-3-319-68195-5. ISSN 2212-9391. E-ISSN 2212-9413.
[VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. Porto (PT), 18.10.2017-20.10.2017]
Institutional support: RVO:67985556
Keywords : Dynamic renal scintigraphy * Regions of interest * Blind source separation * Factor analysis * Variational Bayes method
OECD category: Statistics and probability
Result website:
http://library.utia.cas.cz/separaty/2017/AS/tichy-0480504.pdf
DOI: https://doi.org/10.1007/978-3-319-68195-5_6
Permanent Link: http://hdl.handle.net/11104/0276748
Bódiová, L. - Tichý, Ondřej - Šmídl, Václav
Semi-supervised Bayesian Source Separation of Scintigraphic Image Sequences.
European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2017: VipIMAGE 2017). Vol. 27. Cham: Springer, 2018, s. 52-61. Lecture Notes in Computational Vision and Biomechanics, 27. ISBN 978-3-319-68195-5. ISSN 2212-9391. E-ISSN 2212-9413.
[VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. Porto (PT), 18.10.2017-20.10.2017]
Institutional support: RVO:67985556
Keywords : Dynamic renal scintigraphy * Regions of interest * Blind source separation * Factor analysis * Variational Bayes method
OECD category: Statistics and probability
Result website:
http://library.utia.cas.cz/separaty/2017/AS/tichy-0480504.pdf
DOI: https://doi.org/10.1007/978-3-319-68195-5_6
Permanent Link: http://hdl.handle.net/11104/0276748