Deep Generative Models

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Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22,2022, Proceedings, Lecture Notes in Computer Science 13609

ISBN: 3031185757
ISBN 13: 9783031185755
Herausgeber: Anirban Mukhopadhyay/Ilkay Oksuz/Sandy Engelhardt et al
Verlag: Springer Verlag GmbH
Umfang: x, 127 S., 8 s/w Illustr., 36 farbige Illustr., 127 p. 44 illus., 36 illus. in color.
Erscheinungsdatum: 08.10.2022
Auflage: 1/2022
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 6586150 Kategorie:

Beschreibung

This book constitutes the refereed proceedings of the Second MICCAI Workshop on Deep Generative Models, DG4MICCAI 2022, held in conjunction with MICCAI 2022, in September 2022. The workshops took place in Singapore.  DG4MICCAI 2022 accepted 12 papers from the 15 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.

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