Deep Generative Models: Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings (Lecture Notes in Computer Science, 13609)

Springer
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9783031185755
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9783031185755
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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.


  • | Author: Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan
  • | Publisher: Springer
  • | Publication Date: Nov 17, 2022
  • | Number of Pages: 137 pages
  • | Language: English
  • | Binding: Paperback/Computers
  • | ISBN-10: 3031185757
  • | ISBN-13: 9783031185755
Author:
Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan
Publisher:
Springer
Publication Date:
Nov 17, 2022
Number of pages:
137 pages
Language:
English
Binding:
Paperback/Computers
ISBN-10:
3031185757
ISBN-13:
9783031185755