Skip to main content

Medical Applications with Disentanglements

First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

  • Conference proceedings
  • © 2023


Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13823)

Included in the following conference series:

Conference proceedings info: MAD 2022.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book constitutes the post-conference proceedings of the First MICCAI Workshop on Medical Applications with Disentanglements, MAD 2022, held in conjunction with MICCAI 2022, in Singapore, on September22, 2022.
The 8 full papers presented in this book together with one short paper were carefully reviewed and cover generative adversarial networks (GAN), variational autoencoders (VAE) and normalizing-flow architectures as well as a wide range of medical applications, like brain age prediction, skull reconstruction and unsupervised pathology disentanglement.

Similar content being viewed by others


Table of contents (9 papers)

  1. Introduction

  2. GAN-Based Approaches

  3. Autoencoder-Based Approaches

  4. Normalizing-Flow-Based Approaches

  5. Comparision

Other volumes

  1. Medical Applications with Disentanglements

Editors and Affiliations

  • Essen University Hospital, Essen, Germany

    Jana Fragemann

  • Graz University of Technology, Graz, Austria

    Jianning Li, Jan Egger

  • University of Edinburgh, Edinburgh, UK

    Xiao Liu, Sotirios A. Tsaftaris

  • German Cancer Consortium, Essen, Germany

    Jens Kleesiek

Bibliographic Information

Publish with us