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Simplifying Medical Ultrasound

Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

  • Conference proceedings
  • © 2022

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Editors:
  1. Stephen Aylward

    1. Kitware Inc., Carrboro, USA

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  2. J. Alison Noble

    1. University of Oxford, Oxford, UK

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  3. Yipeng Hu

    1. University College London, London, UK

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  4. Su-Lin Lee

    1. University College London, London, UK

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  5. Zachary Baum

    1. University College London, London, UK

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  6. Zhe Min

    1. University College London, London, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13565)

Included in the following conference series:

Conference proceedings info: ASMUS 2022.

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About this book

This book constitutes the proceedings of the Third International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2022, held on September 18, 2022, in conjunction with MICCAI 2022, the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Singapore.

The 18 papers presented in this book were carefully reviewed and selected from 23 submissions. They were organized in topical sections as follows: classification and detection; Segmentation and Reconstruction; and Assessment, Guidance and Robotics.

Chapters "Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography" and "3D Cardiac Anatomy Reconstruction from 2D Segmentations: a Study using Synthetic Data" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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Table of contents (18 papers)

  1. Front Matter

    Pages i-xi
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  2. Classification and Detection

    1. Front Matter

      Pages 1-1
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    2. Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient Deep Feature Extraction

      • Pierre Raillard, Lorenzo Cristoni, Andrew Walden, Roberto Lazzari, Thomas Pulimood, Louis Grandjean et al.
      Pages 3-12

    3. Spatio-Temporal Model for EUS Video Detection of Pancreatic Anatomy Structures

      • Adrien Meyer, Antoine Fleurentin, Julieta Montanelli, Jean-Paul Mazellier, Lee Swanstrom, Benoit Gallix et al.
      Pages 13-22

    4. RL Based Unsupervised Video Summarization Framework for Ultrasound Imaging

      • Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash R. Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan et al.
      Pages 23-33

    5. Prediction of Kidney Transplant Function with Machine Learning from Computational Ultrasound Features

      • Ricky Hu, Rohit Singla, Cailin Ringstrom, Zoe Hu, Victoria Lessoway, Janice Reid et al.
      Pages 34-43

    6. Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series

      • Mobina Mahdavi, Hooman Vaseli, Christina Luong, Nathan Van Woudenberg, Mohammad Jafari, Purang Abolmaesumi et al.
      Pages 44-53

    7. End-to-End Myocardial Infarction Classification from Echocardiographic Scans

      • Mohamed Saeed, Mohammad Yaqub
      Pages 54-63

    8. View Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging

      • Jerome Charton, Hui Ren, Jay Khambhati, Jeena DeFrancesco, Justin Cheng, Anam A. Waheed et al.
      Pages 64-71

  3. Segmentation and Reconstruction

    1. Front Matter

      Pages 73-73
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    2. AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography

      • Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott et al.
      Pages 75-85

    3. Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D Echo Views

      • David Stojanovski, Uxio Hermida, Marica Muffoletto, Pablo Lamata, Arian Beqiri, Alberto Gomez
      Pages 86-95Open Access

    4. Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography

      • Alberto Gomez, Mihaela Porumb, Angela Mumith, Thierry Judge, Shan Gao, Woo-Jin Cho Kim et al.
      Pages 96-105Open Access

    5. Adnexal Mass Segmentation with Ultrasound Data Synthesis

      • Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna Müller, Matthew Baugh, Athanasios Vlontzos et al.
      Pages 106-116

    6. Self-Knowledge Distillation for First Trimester Ultrasound Saliency Prediction

      • Mourad Gridach, Elizaveta Savochkina, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
      Pages 117-127

    7. A Universal End-to-End Description of Pulse-Echo Ultrasound Image Reconstruction

      • Dongwoon Hyun
      Pages 128-138

  4. Assessment, Guidance and Robotics

    1. Front Matter

      Pages 139-139
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    2. Learning Generalized Non-rigid Multimodal Biomedical Image Registration from Generic Point Set Data

      • Zachary M. C. Baum, Tamas Ungi, Christopher Schlenger, Yipeng Hu, Dean C. Barratt
      Pages 141-151

    3. Contact Force Prediction for a Robotic Transesophageal Ultrasound Probe via Operating Torque Sensing

      • Yiping Xie, Xilong Hou, Hongbin Liu, James Housden, Kawal Rhode, Zeng-Guang Hou et al.
      Pages 152-161

    4. Meta-registration: Learning Test-Time Optimization for Single-Pair Image Registration

      • Zachary M. C. Baum, Yipeng Hu, Dean C. Barratt
      Pages 162-171
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Other volumes

  1. Simplifying Medical Ultrasound

Editors and Affiliations

  • Kitware Inc., Carrboro, USA

    Stephen Aylward

  • University of Oxford, Oxford, UK

    J. Alison Noble

  • University College London, London, UK

    Yipeng Hu, Su-Lin Lee, Zachary Baum, Zhe Min

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