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Medical Applications with Disentanglements

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

  • Conference proceedings
  • © 2023

Overview

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

Included in the following conference series:

Conference proceedings info: MAD 2022.

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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.

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Keywords

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

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