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Perinatal, Preterm and Paediatric Image Analysis

8th International Workshop, PIPPI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Daphna Link-Sourani

    1. Technion – Israel Institute of Technology, Haifa, Israel

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  2. Esra Abaci Turk

    1. Boston Children’s Hospital, Boston, USA

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  3. Christopher Macgowan

    1. The Hospital For Sick Children Research, Toronto, Canada

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  4. Jana Hutter

    1. King’s College London, School of Biomedical Engineering and Imaging Sciences, London, UK, Friedrich-Alexander Universität, MR-Physik am Universitätsklinikum Erlangen, Erlangen, Germany

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  5. Andrew Melbourne

    1. King’s College London, London, UK

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  6. Roxane Licandro

    1. Medical University of Vienna, Department of Biomedical Imaging, Vienna, Austria, Image-guided Therapy, Computational Image Research, Vienna, Austria

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14246)

Included in the following conference series:

Conference proceedings info: PIPPI 2023.

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Table of contents (10 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Fetal Brain Image Analysis

    1. Front Matter

      Pages 1-1
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    2. FetMRQC: Automated Quality Control for Fetal Brain MRI

      • Thomas Sanchez, Oscar Esteban, Yvan Gomez, Elisenda Eixarch, Meritxell Bach Cuadra
      Pages 3-16

    3. A Deep Learning Approach for Segmenting the Subplate and Proliferative Zones in Fetal Brain MRI

      • Helena S. Sousa, Abi Fukami-Gartner, Alena U. Uus, Vanessa Kyriakopoulou, Brigita Ziukaite, Isa Anzak et al.
      Pages 17-27

    4. Combined Quantitative T2* Map and Structural T2-Weighted Tissue-Specific Analysis for Fetal Brain MRI: Pilot Automated Pipeline

      • Alena U. Uus, Megan Hall, Kelly Payette, Joseph V. Hajnal, Maria Deprez, Mary A. Rutherford et al.
      Pages 28-38

    5. Quantitative T2 Relaxometry in Fetal Brain: Validation Using Modified FaBiaN Fetal Brain MRI Simulator

      • Suryava Bhattacharya, Anthony Price, Alena Uus, Helena S. Sousa, Massimo Marenzana, Kathleen Colford et al.
      Pages 39-49

  3. Fetal Cardiac Image Analysis

    1. Front Matter

      Pages 51-51
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    2. Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling

      • Paula Ramirez, Uxio Hermida, Alena Uus, Milou P. M. van Poppel, Irina Grigorescu, Johannes K. Steinweg et al.
      Pages 53-63

    3. The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning

      • Denis Prokopenko, Kerstin Hammernik, Thomas Roberts, David F. A. Lloyd, Daniel Rueckert, Joseph V. Hajnal
      Pages 64-74

  4. Placental and Cervical Image Analysis

    1. Front Matter

      Pages 75-75
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    2. Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series

      • Yingcheng Liu, Neerav Karani, S. Mazdak Abulnaga, Junshen Xu, P. Ellen Grant, Esra Abaci Turk et al.
      Pages 77-87

    3. Visualization and Quantification of Placental Vasculature Using MRI

      • Joanna Chappell, Magdalena Sokolska, Rosalind Aughwane, Alys R. Clark, Sebastien Ourselin, Anna L. David et al.
      Pages 88-97

    4. The Comparison Analysis of the Cervical Features Between Second-and Third-Trimester Pregnancy in Ultrasound Images Using eXplainable AI

      • Yeong-Eun Jeon, Ga-Hyun Son, Ho-Jung Kim, Jae-Jun Lee, Dong-Ok Won
      Pages 98-108

  5. Infant Video Analysis

    1. Front Matter

      Pages 109-109
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    2. Automatic Infant Respiration Estimation from Video: A Deep Flow-Based Algorithm and a Novel Public Benchmark

      • Sai Kumar Reddy Manne, Shaotong Zhu, Sarah Ostadabbas, Michael Wan
      Pages 111-120

  6. Back Matter

    Pages 121-122
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Other volumes

  1. Perinatal, Preterm and Paediatric Image Analysis

Keywords

About this book

​This book constitutes the refereed proceedings of the 8th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023.

The 10 full papers presented at PIPPI 2023 were carefully reviewed and selected from 14 submissions. PIPPI 2023 workshop complements the main MICCAI conference by providing a focused discussion on the challenges of image analysis techniques as applied to the fetal and infant settings.

Editors and Affiliations

  • Technion – Israel Institute of Technology, Haifa, Israel

    Daphna Link-Sourani

  • Boston Children’s Hospital, Boston, USA

    Esra Abaci Turk

  • The Hospital For Sick Children Research, Toronto, Canada

    Christopher Macgowan

  • King’s College London, School of Biomedical Engineering and Imaging Sciences, London, UK, Friedrich-Alexander Universität, MR-Physik am Universitätsklinikum Erlangen, Erlangen, Germany

    Jana Hutter

  • King’s College London, London, UK

    Andrew Melbourne

  • Medical University of Vienna, Department of Biomedical Imaging, Vienna, Austria, Image-guided Therapy, Computational Image Research, Vienna, Austria

    Roxane Licandro

Bibliographic Information

  • Book Title: Perinatal, Preterm and Paediatric Image Analysis

  • Book Subtitle: 8th International Workshop, PIPPI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings

  • Editors: Daphna Link-Sourani, Esra Abaci Turk, Christopher Macgowan, Jana Hutter, Andrew Melbourne, Roxane Licandro

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-45544-5

  • 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 2023

  • Softcover ISBN: 978-3-031-45543-8Published: 12 October 2023

  • eBook ISBN: 978-3-031-45544-5Published: 11 October 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 122

  • Number of Illustrations: 3 b/w illustrations, 49 illustrations in colour

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Artificial Intelligence, Computer Applications

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