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

R1,661

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles16610
Mobicred@R156pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 10 - 15 working days



Product Description

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.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Lecture Notes in Computer Science, 13609

Release date

October 2022

Availability

Expected to ship within 10 - 15 working days

First published

2022

Editors

, , , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

127

Edition

1st ed. 2022

ISBN-13

978-3-03-118575-5

Barcode

9783031185755

Categories

LSN

3-03-118575-7



Trending On Loot