Deep Generative Models

Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
1. Auflage 2024
ISBN: 978-3-031-53766-0
Verlag: Springer Nature Switzerland

Buch, Englisch, 248 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 400 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Mukhopadhyay, Anirban

Oksuz, Ilkay

Yuan, Yixuan

Engelhardt, Sandy

Zhu, Dajiang

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

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