Deep Generative Models : Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / edited by Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan.

Format:

Book

Contributor:

Mukhopadhyay, Anirban, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13609

Language:

English

Subjects (All):

Computer vision.

Machine learning.

Education--Data processing.

Education.

Application software.

Computer Vision.

Machine Learning.

Computers and Education.

Computer and Information Systems Applications.

Local Subjects:

Computer Vision.

Machine Learning.

Computers and Education.

Computer and Information Systems Applications.

Physical Description:

1 online resource (136 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2022.

Summary:

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.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Mukhopadhyay, Anirban Deep Generative Models

ISBN:

9783031185762

3031185765