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© 2020

Medical Image Understanding and Analysis

24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings

  • Bartłomiej W. Papież
  • Ana I. L. Namburete
  • Mohammad Yaqub
  • J. Alison Noble
Conference proceedings MIUA 2020

Part of the Communications in Computer and Information Science book series (CCIS, volume 1248)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Image Segmentation

    1. Front Matter
      Pages 1-1
    2. Elisabeth Pfaehler, Liesbet Mesotten, Gem Kramer, Michiel Thomeer, Karolien Vanhove, Johan de Jong et al.
      Pages 3-14
    3. Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
      Pages 15-25
    4. Jérémy Scheurer, Claudio Ferrari, Luis Berenguer Todo Bom, Michaela Beer, Werner Kempf, Luis Haug
      Pages 26-42
    5. Andreas Stefani, Roushanak Rahmat, David Harris-Birtill
      Pages 43-55
    6. Madeleine K. Wyburd, Mark Jenkinson, Ana I. L. Namburete
      Pages 56-68
    7. Linde S. Hesse, Ana I. L. Namburete
      Pages 69-81
    8. Nora Vogt, Sir Michael Brady, Ged Ridgway, John Connell, Ana I. L. Namburete
      Pages 82-92
    9. George P. Ralli, Gerard R. Ridgway, Sir Michael Brady
      Pages 105-117
    10. Jack Weatheritt, Daniel Rueckert, Robin Wolz
      Pages 118-130
    11. Alexandre Triay Bagur, Ged Ridgway, John McGonigle, Sir Michael Brady, Daniel Bulte
      Pages 131-142
    12. Andrew Torr, Doga Basaran, Julia Sero, Jens Rittscher, Heba Sailem
      Pages 155-167
  3. Image registration, reconstruction and enhancement

    1. Front Matter
      Pages 169-169
    2. Mikael Brudfors, Yaël Balbastre, John Ashburner
      Pages 184-194
    3. Essa R. Anas, Ahmed Onsy, Bogdan J. Matuszewski
      Pages 195-207

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 24th Conference on Medical Image Understanding and Analysis, MIUA 2020, held in July 2020. Due to COVID-19 pandemic the conference was held virtually. 

The 29 full papers and 5 short papers presented were carefully reviewed and selected from 70 submissions. They were organized according to following topical sections: ​image segmentation; image registration, reconstruction and enhancement; radiomics, predictive models, and quantitative imaging biomarkers; ocular imaging analysis; biomedical simulation and modelling.

Keywords

artificial intelligence bioinformatics color image processing color images computer systems computer vision deep learning image analysis image enhancement image matching image processing image quality image segmentation machine learning medical images neural networks pattern recognition reference image

Editors and affiliations

  1. 1.University of OxfordOxfordUK
  2. 2.University of OxfordOxfordUK
  3. 3.University of OxfordOxfordUK
  4. 4.University of OxfordOxfordUK

Bibliographic information