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Medical Image Understanding and Analysis

26th Annual Conference, MIUA 2022, Cambridge, UK, July 27–29, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Guang Yang

    1. Imperial College London, London, UK

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  2. Angelica Aviles-Rivero

    1. University of Cambridge, Cambridge, UK

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  3. Michael Roberts

    1. University of Cambridge, Cambridge, UK

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  4. Carola-Bibiane Schönlieb

    1. University of Cambridge, Cambridge, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13413)

Included in the following conference series:

Conference proceedings info: MIUA 2022.

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Table of contents (66 papers)

  1. Front Matter

    Pages i-xvii
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  2. Biomarker Detection

    1. Front Matter

      Pages 1-1
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    2. Neck Fat Estimation from DXA Using Convolutional Neural Networks

      • Emily Cresswell, Fredrik Karpe, Nicolas Basty
      Pages 3-12

    3. Multimodal Cardiomegaly Classification with Image-Derived Digital Biomarkers

      • Benjamin Duvieusart, Felix Krones, Guy Parsons, Lionel Tarassenko, Bartłomiej W. Papież, Adam Mahdi
      Pages 13-27

    4. Proton Density Fat Fraction of Breast Adipose Tissue: Comparison of the Effect of Fat Spectra and Initial Evaluation as a Biomarker

      • Isobel Gordon, George Ralli, Carolina Fernandes, Amy Herlihy, Sir Michael Brady
      Pages 28-45

    5. Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification

      • Adriano Lucieri, Fabian Schmeisser, Christoph Peter Balada, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed
      Pages 46-61

  3. Novel Imaging, Image Registration and Reconstruction

    1. Front Matter

      Pages 63-63
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    2. Joint Group-Wise Motion Estimation and Segmentation of Cardiac Cine MR Images Using Recurrent U-Net

      • Pengfang Qian, Junwei Yang, Pietro Lió, Peng Hu, Haikun Qi
      Pages 65-74

    3. Recursive Deformable Image Registration Network with Mutual Attention

      • Jian-Qing Zheng, Ziyang Wang, Baoru Huang, Tonia Vincent, Ngee Han Lim, Bartłomiej W. Papież
      Pages 75-86

    4. Spatiotemporal Attention Constrained Deep Learning Framework for Dual-Tracer PET Imaging

      • Dankun Lian, Yue Li, Huafeng Liu
      Pages 87-100

    5. Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction

      • Michael Tänzer, Pedro Ferreira, Andrew Scott, Zohya Khalique, Maria Dwornik, Ramyah Rajakulasingam et al.
      Pages 101-115

    6. Preoperative CT and Intraoperative CBCT Image Registration and Evaluation in Robotic Cochlear Implant Surgery

      • Chenxi Lu, Bo Dong, Xi Hu, Yang Zhao, Hongjian He, Jing Wang
      Pages 116-129

    7. Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting

      • Lihao Liu, Chenyang Hong, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb
      Pages 130-138

    8. Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation

      • Nabeel Khalid, Fabian Schmeisser, Mohammadmahdi Koochali, Mohsin Munir, Christoffer Edlund, Timothy R Jackson et al.
      Pages 139-153

  4. Image Interpretation

    1. Front Matter

      Pages 155-155
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    2. Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity Estimation

      • Gorkem Polat, Ilkay Ergenc, Haluk Tarik Kani, Yesim Ozen Alahdab, Ozlen Atug, Alptekin Temizel
      Pages 157-171

    3. Procrustes Analysis of Muscle Fascicle Shapes Based on DTI Fibre Tracking

      • Lei Ye, Eugenie Hunsicker, Baihua Li, Diwei Zhou
      Pages 172-186

    4. Weakly Supervised Captioning of Ultrasound Images

      • Mohammad Alsharid, Harshita Sharma, Lior Drukker, Aris T. Papageorgiou, J. Alison Noble
      Pages 187-198

    5. Computerised Methods for Monitoring Diabetic Foot Ulcers on Plantar Foot: A Feasibility Study

      • Manu Goyal, Neil D. Reeves, Satyan Rajbhandari, Moi Hoon Yap
      Pages 199-211

    6. CellCentroidFormer: Combining Self-attention and Convolution for Cell Detection

      • Royden Wagner, Karl Rohr
      Pages 212-222
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Keywords

About this book

This book constitutes the refereed proceedings of the 26th Conference on Medical Image Understanding and Analysis, MIUA 2022, held in Cambridge, UK, in July 2022.

The 65 full papers presented were carefully reviewed and selected from 95 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.


Chapter “FCN-Transformer Feature Fusion for Polyp Segmentation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


Editors and Affiliations

  • Imperial College London, London, UK

    Guang Yang

  • University of Cambridge, Cambridge, UK

    Angelica Aviles-Rivero, Michael Roberts, Carola-Bibiane Schönlieb

Bibliographic Information

  • Book Title: Medical Image Understanding and Analysis

  • Book Subtitle: 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27–29, 2022, Proceedings

  • Editors: Guang Yang, Angelica Aviles-Rivero, Michael Roberts, Carola-Bibiane Schönlieb

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-12053-4

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-12052-7Published: 26 July 2022

  • eBook ISBN: 978-3-031-12053-4Published: 25 July 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVII, 911

  • Number of Illustrations: 138 b/w illustrations, 309 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence, Computing Milieux, Computer Applications

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