02841nam 22006495 450 99658786170331620240219064830.03-031-53767-X10.1007/978-3-031-53767-7(MiAaPQ)EBC31169202(Au-PeEL)EBL31169202(DE-He213)978-3-031-53767-7(EXLCZ)993043728440004120240219d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDeep Generative Models[electronic resource] Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /edited by Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (256 pages)Lecture Notes in Computer Science,1611-3349 ;145333-031-53766-1 Methods -- Applications -- Methodology. Causal inference. Latent interpretation. Generative factor analysis -- Mammography. Vessel imaging -- Surgical Videos.This 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.Lecture Notes in Computer Science,1611-3349 ;14533Computer visionMachine learningEducationData processingApplication softwareComputer VisionMachine LearningComputers and EducationComputer and Information Systems ApplicationsComputer vision.Machine learning.EducationData processing.Application software.Computer Vision.Machine Learning.Computers and Education.Computer and Information Systems Applications.006.37Mukhopadhyay Anirban1726359Oksuz Ilkay1726360Engelhardt Sandy1726361Zhu Dajiang1726362Yuan Yixuan1726363MiAaPQMiAaPQMiAaPQBOOK996587861703316Deep Generative Models4132064UNISA