Deep Generative Models Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings |
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| Editor:
| Mukhopadhyay, Anirban
Oksuz, Ilkay
Engelhardt, Sandy
Zhu, Dajiang
Yuan, Yixuan |
| Series title: | Lecture Notes in Computer Science Ser. |
| ISBN: | 978-3-031-18575-5 |
| Publication Date: | Oct 2022 |
| Publisher: | Springer
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| Book Format: | Paperback |
| List Price: | USD $59.99 |
Book Description:
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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...
More DescriptionThis 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.