Deep generative models: third MICCAI workshop, DGM4MICCAI 2023 : held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings

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Methods -- Applications -- Methodology. Causal inference. Latent interpretation. Generative factor analysis -- Mammography. Vessel imaging -- Surgical Videos.

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Bibliographic Details
Corporate Author:	DGM4MICCAI, Vancouver, British Columbia; Online (Author)
Other Authors:	Mukhopadhyay, Anirban (Editor) , Oksuz, Ilkay (Editor) , Engelhardt, Sandy (Editor) , Zhu, Dajiang (Editor) , Yuan, Yixuan (Editor)
Format:	Conference Paper
Language:	English
Published:	Cham Springer Nature Switzerland 2024. Cham Imprint: Springer 2024.
Edition:	1st ed. 2024.
Series:	Lecture Notes in Computer Science 14533
DOI:	10.1007/978-3-031-53767-7
Subjects:	Konferenzschrift
Online Access:	Resolving-System, lizenzpflichtig: https://doi.org/10.1007/978-3-031-53767-7
Author Notes:	Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan, editors

Description
Summary:	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.
Physical Description:	Online Resource
ISBN:	9783031537677
DOI:	10.1007/978-3-031-53767-7