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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections : First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings - 1st ed. 2021

By: (Edited by) Anirban Mukhopadhyay , (Edited by) Dajiang Zhu , (Edited by) Hien Nguyen , (Edited by) Ilkay Oksuz , (Edited by) Nicholas Heller , (Edited by) Raphael Sznitman , (Edited by) Sandy Engelhardt , (Edited by) Sharon Xiaolei Huang , (Edited by) Yixuan Yuan , (Edited by) Yuan Xue

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Ksh 9,900.00

Format: Paperback / Softback

ISBN-10: 3030882098

ISBN-13: 9783030882099

Edition: 1st ed. 2021

Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Sep 30th, 2021

Print length: 278 Pages

Product Classification: Biology, life sciences
Computer science
Artificial intelligence
Image processing

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This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021.
This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021,  and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.

DG4MICCAI 2021 accepted 12 papers from the 17 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.

For DALI 2021, 15 papers from 32 submissions were accepted for publication. They focus on rigorous study of medical data related to machine learning systems. 

 

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