Deep Generative Models Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction With MICCAI 2022, Singapore, September 22, 2022, Proceedings - Lecture Notes in Computer Science

MICCAI Workshop on Deep Generative Models (creator), Anirban Mukhopadhyay (editor), Ilkay Oksuz (editor), Sandy Engelhardt (editor), Dajiang Zhu (editor), Yixuan Yuan (editor), International Conference on Medical Image Computing and Computer-Assisted Intervention

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Publisher's Synopsis

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.

Book information

ISBN:	9783031185755
Publisher:	Springer Nature Switzerland
Imprint:	Springer
Pub date:	08 Oct 2022
DEWEY:	006.31
DEWEY edition:	23
Language:	English
Number of pages:	127
Weight:	234g
Height:	155mm
Width:	235mm
Spine width:	10mm