Deep Generative Models (eBook, PDF)

Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
Redaktion: Mukhopadhyay, Anirban; Yuan, Yixuan; Zhu, Dajiang; Engelhardt, Sandy; Oksuz, Ilkay

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 248
• Erscheinungstermin: 19. Februar 2024
• Englisch
• ISBN-13: 9783031537677
• Artikelnr.: 70020705

Inhaltsangabe

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