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100   $a20230302d2022      uy             0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aDeep generative models $esecond MICCAI workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings /$fedited by Anirban Mukhopadhyay [and four others]
210  1$aCham, Switzerland :$cSpringer,$d[2022]
210  4$dİ2022
215   $a1 online resource (136 pages)
225 1 $aLecture Notes in Computer Science ;$vv.13609
311 08$aPrint version: Mukhopadhyay, Anirban Deep Generative Models Cham : Springer,c2022 9783031185755 
320   $aIncludes bibliographical references and index.
410  0$aLecture Notes in Computer Science 
606   $aComputer vision
606   $aDeep learning (Machine learning)
606   $aComputer vision$vCongresses
615  0$aComputer vision.
615  0$aDeep learning (Machine learning)
615  0$aComputer vision
676   $a006.37
702   $aMukhopadhyay$b Anirban
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996495570703316
996   $aDeep generative models$93041715
997   $aUNISA