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  • Conference proceedings
  • © 2020

Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis

First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings

Conference proceedings info: PIPPI 2020, ASMUS 2020.

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Table of contents (33 papers)

  1. Front Matter

    Pages i-xiv
  2. Diagnosis and Measurement

    1. Front Matter

      Pages 1-1
    2. Remote Intelligent Assisted Diagnosis System for Hepatic Echinococcosis

      • Haixia Wang, Rui Li, Xuan Chen, Bin Duan, Linfewi Xiong, Xin Yang et al.
      Pages 3-12
    3. Calibrated Bayesian Neural Networks to Estimate Gestational Age and Its Uncertainty on Fetal Brain Ultrasound Images

      • Lok Hin Lee, Elizabeth Bradburn, Aris T. Papageorghiou, J. Alison Noble
      Pages 13-22
    4. Automatic Optic Nerve Sheath Measurement in Point-of-Care Ultrasound

      • Brad T. Moore, Sean P. Montgomery, Marc Niethammer, Hastings Greer, Stephen R. Aylward
      Pages 23-32
    5. Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients

      • Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Catriona Reid, Baba Inusa, Andrew P. King
      Pages 33-41
    6. Cross-Device Cross-Anatomy Adaptation Network for Ultrasound Video Analysis

      • Qingchao Chen, Yang Liu, Yipeng Hu, Alice Self, Aris Papageorghiou, J. Alison Noble
      Pages 42-51
  3. Segmentation, Captioning and Enhancement

    1. Front Matter

      Pages 53-53
    2. Guidewire Segmentation in 4D Ultrasound Sequences Using Recurrent Fully Convolutional Networks

      • Brian C. Lee, Kunal Vaidya, Ameet K. Jain, Alvin Chen
      Pages 55-65
    3. A Curriculum Learning Based Approach to Captioning Ultrasound Images

      • Mohammad Alsharid, Rasheed El-Bouri, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
      Pages 75-84
    4. Deep Image Translation for Enhancing Simulated Ultrasound Images

      • Lin Zhang, Tiziano Portenier, Christoph Paulus, Orcun Goksel
      Pages 85-94
  4. Localisation and Guidance

    1. Front Matter

      Pages 95-95
    2. Localizing 2D Ultrasound Probe from Ultrasound Image Sequences Using Deep Learning for Volume Reconstruction

      • Kanta Miura, Koichi Ito, Takafumi Aoki, Jun Ohmiya, Satoshi Kondo
      Pages 97-105
    3. Augmented Reality-Based Lung Ultrasound Scanning Guidance

      • Keshav Bimbraw, Xihan Ma, Ziming Zhang, Haichong Zhang
      Pages 106-115
    4. Multimodality Biomedical Image Registration Using Free Point Transformer Networks

      • Zachary M. C. Baum, Yipeng Hu, Dean C. Barratt
      Pages 116-125
    5. Label Efficient Localization of Fetal Brain Biometry Planes in Ultrasound Through Metric Learning

      • Yuan Gao, Sridevi Beriwal, Rachel Craik, Aris T. Papageorghiou, J. Alison Noble
      Pages 126-135
    6. Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound

      • Helena Williams, Laura Cattani, Mohammad Yaqub, Carole Sudre, Tom Vercauteren, Jan Deprest et al.
      Pages 136-145
    7. Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment

      • Qingjie Meng, Daniel Rueckert, Bernhard Kainz
      Pages 146-157
  5. Robotics and Skill Assessment

    1. Front Matter

      Pages 159-159

Other Volumes

  1. Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis

    First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings

About this book

This book constitutes the proceedings of the First International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2020, and the 5th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2020, held in conjunction with MICCAI 2020, the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Lima, Peru, but changed to an online event due to the Coronavirus pandemic. 

For ASMUS 2020, 19 contributions were accepted from 26 submissions; the 14 contributions from the PIPPI workshop were carefully reviewed and selected from 21 submissions. The papers were organized in topical sections named: diagnosis and measurement; segmentation, captioning and enhancement; localisation and guidance; robotics and skill assessment, and PIPPI 2020. 

Keywords

  • artificial intelligence
  • bioinformatics
  • computer vision
  • deep learning
  • education
  • image processing
  • image segmentation
  • machine learning
  • medical images
  • network protocols
  • neural networks
  • pattern recognition
  • signal processing
  • ultrasonic imaging

Editors and Affiliations

  • University College London, London, UK

    Yipeng Hu

  • TU Wien and Medical University of Vienna, Vienna, Austria

    Roxane Licandro

  • University of Oxford, Oxford, UK

    J. Alison Noble

  • King’s College London, London, UK

    Jana Hutter, Andrew Melbourne

  • Kitware Inc., New York, USA

    Stephen Aylward

  • Harvard Medical School and Children’s Hospital, Boston, USA

    Esra Abaci Turk

  • Hewlett Packard, Barcelona, Spain

    Jordina Torrents Barrena

Bibliographic Information

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-60334-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 99.99
Price excludes VAT (USA)