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Deep Generative Models : Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings - 1st ed. 2022

By: (Edited by) Anirban Mukhopadhyay , (Edited by) Dajiang Zhu , (Edited by) Ilkay Oksuz , (Edited by) Sandy Engelhardt , (Edited by) Yixuan Yuan

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Ksh 9,000.00

Format: Paperback / Softback

ISBN-10: 3031185757

ISBN-13: 9783031185755

Edition: 1st ed. 2022

Series: Lecture Notes in Computer Science

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 8th, 2022

Print length: 127 Pages

Weight: 234 grams

Dimensions (height x width x thickness): 15.50 x 23.50 x 1.00 cms

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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.
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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