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Medical Image Understanding and Analysis

25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12–14, 2021, Proceedings

  • Conference proceedings
  • © 2021

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Editors:
  1. Bartłomiej W. Papież

    1. University of Oxford, Oxford, UK

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  2. Mohammad Yaqub

    1. Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates

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  3. Jianbo Jiao

    1. University of Oxford, Oxford, UK

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  4. Ana I. L. Namburete

    1. University of Oxford, Oxford, UK

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  5. J. Alison Noble

    1. University of Oxford, Oxford, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12722)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: MIUA 2021.

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Table of contents (40 papers)

  1. Front Matter

    Pages i-xv
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  2. Biomarker Detection

    1. Front Matter

      Pages 1-1
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    2. Exploring the Correlation Between Deep Learned and Clinical Features in Melanoma Detection

      • Tamal Chowdhury, Angad R. S. Bajwa, Tapabrata Chakraborti, Jens Rittscher, Umapada Pal
      Pages 3-17

    3. An Efficient One-Stage Detector for Real-Time Surgical Tools Detection in Robot-Assisted Surgery

      • Yu Yang, Zijian Zhao, Pan Shi, Sanyuan Hu
      Pages 18-29

    4. A Comparison of Computer Vision Methods for the Combined Detection of Glaucoma, Diabetic Retinopathy and Cataracts

      • Jarred Orfao, Dustin van der Haar
      Pages 30-42

    5. Prostate Cancer Detection Using Image-Based Features in Dynamic Contrast Enhanced MRI

      • Liping Wang, Yuanjie Zheng, Andrik Rampun, Reyer Zwiggelaar
      Pages 43-55

    6. Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR Images

      • Zhe Min, Fernando J. Bianco, Qianye Yang, Rachael Rodell, Wen Yan, Dean Barratt et al.
      Pages 56-70

    7. Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability

      • Niamh Belton, Ivan Welaratne, Adil Dahlan, Ronan T. Hearne, Misgina Tsighe Hagos, Aonghus Lawlor et al.
      Pages 71-86

    8. Improved Artifact Detection in Endoscopy Imaging Through Profile Pruning

      • Ziang Xu, Sharib Ali, Soumya Gupta, Numan Celik, Jens Rittscher
      Pages 87-97

    9. Automatic Detection of Extra-Cardiac Findings in Cardiovascular Magnetic Resonance

      • Dewmini Hasara Wickremasinghe, Natallia Khenkina, Pier Giorgio Masci, Andrew P. King, Esther Puyol-Antón
      Pages 98-107

    10. Brain-Connectivity Analysis to Differentiate Phasmophobic and Non-phasmophobic: An EEG Study

      • Suhita Karmakar, Dipayan Dewan, Lidia Ghosh, Abir Chowdhury, Amit Konar, Atulya K. Nagar
      Pages 108-122

  3. Image Registration, and Reconstruction

    1. Front Matter

      Pages 123-123
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    2. Virtual Imaging for Patient Information on Radiotherapy Planning and Delivery for Prostate Cancer

      • Miguel Martínez-Albaladejo, Josep Sulé-Suso, David Lines, James Bisson, Simon Jassal, Craig Edwards
      Pages 125-139

    3. Data-Driven Speed-of-Sound Reconstruction for Medical Ultrasound: Impacts of Training Data Format and Imperfections on Convergence

      • Farnaz Khun Jush, Peter Michael Dueppenbecker, Andreas Maier
      Pages 140-150

    4. Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging

      • Jose Bernal, William Xu, Maria d. C. Valdés-Hernández, Javier Escudero, Angela C. C. Jochems, Una Clancy et al.
      Pages 151-164

    5. Mass Univariate Regression Analysis for Three-Dimensional Liver Image-Derived Phenotypes

      • Marjola Thanaj, Nicolas Basty, Yi Liu, Madeleine Cule, Elena P. Sorokin, E. Louise Thomas et al.
      Pages 165-176

    6. Automatic Re-orientation of 3D Echocardiographic Images in Virtual Reality Using Deep Learning

      • Lindsay Munroe, Gina Sajith, Ei Lin, Surjava Bhattacharya, Kuberan Pushparajah, John Simpson et al.
      Pages 177-188

    7. A Simulation Study to Estimate Optimum LOR Angular Acceptance for the Image Reconstruction with the Total-Body J-PET

      • Meysam Dadgar, Szymon Parzych, Faranak Tayefi Ardebili
      Pages 189-200

    8. Optimised Misalignment Correction from Cine MR Slices Using Statistical Shape Model

      • Abhirup Banerjee, Ernesto Zacur, Robin P. Choudhury, Vicente Grau
      Pages 201-209

    9. Slice-to-Volume Registration Enables Automated Pancreas MRI Quantification in UK Biobank

      • Alexandre Triay Bagur, Paul Aljabar, Zobair Arya, John McGonigle, Sir Michael Brady, Daniel Bulte
      Pages 210-223
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Keywords

About this book

This book constitutes the refereed proceedings of the 25th Conference on Medical Image Understanding and Analysis, MIUA 2021, held in July 2021. Due to COVID-19 pandemic the conference was held virtually. 

The 32 full papers and 8 short papers presented were carefully reviewed and selected from 77 submissions. They were organized according to following topical sections: biomarker detection; image registration, and reconstruction; image segmentation; generative models, biomedical simulation and modelling; classification; image enhancement, quality assessment, and data privacy; radiomics, predictive models, and quantitative imaging.

Editors and Affiliations

  • University of Oxford, Oxford, UK

    Bartłomiej W. Papież, Jianbo Jiao, Ana I. L. Namburete, J. Alison Noble

  • Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates

    Mohammad Yaqub

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