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Semi-supervised Bayesian Source Separation of Scintigraphic Image Sequences
SYS 0480504 LBL 01000a^^22220027750^450 005 20240103214826.8 014 $a 85032330126 $2 SCOPUS 014 $a 000437032100006 $2 WOS 017 $a 10.1007/978-3-319-68195-5_6 $2 DOI 100 $a 20171027d m y slo 03 ba 101 $a eng $d eng 102 $a CH 200 1-
$a Semi-supervised Bayesian Source Separation of Scintigraphic Image Sequences 215 $a 10 s. $c P 463 -1
$1 001 cav_un_epca*0480503 $1 010 $a 978-3-319-68195-5 $1 011 $a 2212-9391 $e 2212-9413 $1 200 1 $a European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2017: VipIMAGE 2017) $h 27 $v S. 52-61 $1 210 $a Cham $c Springer $d 2018 $1 225 $a Lecture Notes in Computational Vision and Biomechanics $v 27 610 $a Dynamic renal scintigraphy 610 $a Regions of interest 610 $a Blind source separation 610 $a Factor analysis 610 $a Variational Bayes method 700 -1
$3 cav_un_auth*0352423 $a Bódiová $b L. $y CZ 701 -1
$3 cav_un_auth*0267768 $a Tichý $b Ondřej $p UTIA-B $i Adaptivní systémy $j Department of Adaptive Systems $k AS $l AS $w Department of Adaptive Systems $T Ústav teorie informace a automatizace AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0101207 $a Šmídl $b Václav $p UTIA-B $i Adaptivní systémy $j Department of Adaptive Systems $k AS $l AS $w Department of Adaptive Systems $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2017/AS/tichy-0480504.pdf
Number of the records: 1