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200 10$aDeep Generative Models$b[electronic resource] $eThird MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /$fedited by Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (256 pages)
225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14533
311   $a3-031-53766-1 
327   $aMethods -- Applications -- Methodology. Causal inference. Latent interpretation. Generative factor analysis -- Mammography. Vessel imaging -- Surgical Videos.
330   $aThis LNCS conference volume constitutes the proceedings of the third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2023. The 23 full papers included in this volume were carefully reviewed and selected from 38 submissions. The conference presents topics ranging from methodology, causal inference, latent interpretation, generative factor analysis to applications such as mammography, vessel imaging, and surgical Videos.
410  0$aLecture Notes in Computer Science,$x1611-3349 ;$v14533
606   $aComputer vision
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606   $aApplication software
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615 24$aMachine Learning.
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700   $aMukhopadhyay$b Anirban$01726359
701   $aOksuz$b Ilkay$01726360
701   $aEngelhardt$b Sandy$01726361
701   $aZhu$b Dajiang$01726362
701   $aYuan$b Yixuan$01726363
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