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Medical Image Understanding and Analysis

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

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Bartłomiej W. Papież

    1. University of Oxford, Oxford, UK

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  2. Ana I. L. Namburete

    1. University of Oxford, Oxford, UK

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  3. Mohammad Yaqub

    1. University of Oxford, Oxford, UK

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  4. J. Alison Noble

    1. University of Oxford, Oxford, UK

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

Included in the following conference series:

Conference proceedings info: MIUA 2020.

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Table of contents (34 papers)

  1. Front Matter

    Pages i-xiv
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  2. Image Segmentation

    1. Front Matter

      Pages 1-1
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    2. Textural Feature Based Segmentation: A Repeatable and Accurate Segmentation Approach for Tumors in PET Images

      • Elisabeth Pfaehler, Liesbet Mesotten, Gem Kramer, Michiel Thomeer, Karolien Vanhove, Johan de Jong et al.
      Pages 3-14

    3. Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation

      • Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
      Pages 15-25

    4. Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema

      • Jérémy Scheurer, Claudio Ferrari, Luis Berenguer Todo Bom, Michaela Beer, Werner Kempf, Luis Haug
      Pages 26-42

    5. Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation

      • Andreas Stefani, Roushanak Rahmat, David Harris-Birtill
      Pages 43-55

    6. Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound

      • Madeleine K. Wyburd, Mark Jenkinson, Ana I. L. Namburete
      Pages 56-68

    7. Improving U-Net Segmentation with Active Contour Based Label Correction

      • Linde S. Hesse, Ana I. L. Namburete
      Pages 69-81

    8. Segmenting Hepatocellular Carcinoma in Multi-phase CT

      • Nora Vogt, Sir Michael Brady, Ged Ridgway, John Connell, Ana I. L. Namburete
      Pages 82-92

    9. On New Convolutional Neural Network Based Algorithms for Selective Segmentation of Images

      • Liam Burrows, Ke Chen, Francesco Torella
      Pages 93-104

    10. Segmentation of the Biliary Tree from MRCP Images via the Monogenic Signal

      • George P. Ralli, Gerard R. Ridgway, Sir Michael Brady
      Pages 105-117

    11. Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations

      • Jack Weatheritt, Daniel Rueckert, Robin Wolz
      Pages 118-130

    12. Pancreas Segmentation-Derived Biomarkers: Volume and Shape Metrics in the UK Biobank Imaging Study

      • Alexandre Triay Bagur, Ged Ridgway, John McGonigle, Sir Michael Brady, Daniel Bulte
      Pages 131-142

    13. Localization and Identification of Lumbar Intervertebral Discs on Spine MR Images with Faster RCNN Based Shortest Path Algorithm

      • Merve Zeybel, Yusuf Sinan Akgul
      Pages 143-154

    14. DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks

      • 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
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    2. A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using Texture Analysis and Total Variation Optimisation for Improving Perivascular Spaces Quantification in Brain Magnetic Resonance Imaging

      • Jose Bernal, Maria Valdés-Hernández, Lucia Ballerini, Javier Escudero, Angela C. C. Jochems, Una Clancy et al.
      Pages 171-183

    3. Groupwise Multimodal Image Registration Using Joint Total Variation

      • Mikael Brudfors, Yaël Balbastre, John Ashburner
      Pages 184-194

    4. CT Scan Registration with 3D Dense Motion Field Estimation Using LSGAN

      • Essa R. Anas, Ahmed Onsy, Bogdan J. Matuszewski
      Pages 195-207

    5. A Supervised Image Registration Approach for Late Gadolinium Enhanced MRI and Cine Cardiac MRI Using Convolutional Neural Networks

      • Roshan Reddy Upendra, Richard Simon, Cristian A. Linte
      Pages 208-220
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Keywords

About this book

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.

Editors and Affiliations

  • University of Oxford, Oxford, UK

    Bartłomiej W. Papież, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble

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