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Perinatal, Preterm and Paediatric Image Analysis

7th International Workshop, PIPPI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Roxane Licandro

    1. Massachusetts General Hospital & Harvard Medical School, Charlestown, USA

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  2. Andrew Melbourne

    1. King’s College London, London, UK

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  3. Esra Abaci Turk

    1. Children’s Hospital, Boston, USA

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  4. Christopher Macgowan

    1. The Hospital for Sick Children Research Institute, Toronto, Canada

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  5. Jana Hutter

    1. King’s College London, London, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13575)

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Conference proceedings info: PIPPI 2022.

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About this book

This book constitutes the refereed proceedings of the First International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2021.

The 10 full papers and 1 short papers presented at PIPPI 2022 were carefully reviewed and selected from 12 submissions. PIPPI 2022 workshop complements the main MICCAI conference by providing a focused discussion of perinatal and paediatric image analysis, including the application of sophisticated analysis tools to fetal, neonatal and paediatric imaging data.

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Table of contents (11 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Automatic Segmentation of the Placenta in BOLD MRI Time Series

    • S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, P. Ellen Grant et al.
    Pages 1-12

  3. A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field

    • Jordina Aviles, Kathleen Colford, Megan Hall, Massimo Marenzana, Alena Uus, Sharon Giles et al.
    Pages 13-24

  4. Automatic Fetal Fat Quantification from MRI

    • Netanell Avisdris, Aviad Rabinowich, Daniel Fridkin, Ayala Zilberman, Sapir Lazar, Jacky Herzlich et al.
    Pages 25-37

  5. Continuous Longitudinal Fetus Brain Atlas Construction via Implicit Neural Representation

    • Lixuan Chen, Jiangjie Wu, Qing Wu, Hongjiang Wei, Yuyao Zhang
    Pages 38-47

  6. Automated Segmentation of Cervical Anatomy to Interrogate Preterm Birth

    • Alicia B. Dagle, Yucheng Liu, David Crosby, Helen Feltovich, Michael House, Qi Yan et al.
    Pages 48-59

  7. Deep Learning Framework for Real-Time Fetal Brain Segmentation in MRI

    • Razieh Faghihpirayesh, Davood Karimi, Deniz Erdoğmuş, Ali Gholipour
    Pages 60-70

  8. Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data

    • Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Dafnis Batalle et al.
    Pages 71-81

  9. Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI

    • Paula Ramirez Gilliland, Alena Uus, Milou P. M. van Poppel, Irina Grigorescu, Johannes K. Steinweg, David F. A. Lloyd et al.
    Pages 82-93

  10. Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts

    • Alena U. Uus, Mohammad-Usamah Ayub, Abi Gartner, Vanessa Kyriakopoulou, Maximilian Pietsch, Irina Grigorescu et al.
    Pages 94-104

  11. Knowledge-Guided Segmentation of Isointense Infant Brain

    • Jana Vujadinovic, Jaime Simarro Viana, Ezequiel de la Rosa, Els Ortibus, Diana M. Sima
    Pages 105-114

  12. Correction to: Knowledge-Guided Segmentation of Isointense Infant Brain

    • Jana Vujadinovic, Jaime Simarro Viana, Ezequiel de la Rosa, Els Ortibus, Diana M. Sima
    Pages C1-C1

  13. Back Matter

    Pages 115-116
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Other volumes

  1. Perinatal, Preterm and Paediatric Image Analysis

Editors and Affiliations

  • Massachusetts General Hospital & Harvard Medical School, Charlestown, USA

    Roxane Licandro

  • King’s College London, London, UK

    Andrew Melbourne, Jana Hutter

  • Children’s Hospital, Boston, USA

    Esra Abaci Turk

  • The Hospital for Sick Children Research Institute, Toronto, Canada

    Christopher Macgowan

Bibliographic Information

  • Book Title: Perinatal, Preterm and Paediatric Image Analysis

  • Book Subtitle: 7th International Workshop, PIPPI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

  • Editors: Roxane Licandro, Andrew Melbourne, Esra Abaci Turk, Christopher Macgowan, Jana Hutter

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-17117-8

  • 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: 978-3-031-17116-1Published: 23 September 2022

  • eBook ISBN: 978-3-031-17117-8Published: 22 September 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 116

  • Number of Illustrations: 7 b/w illustrations, 42 illustrations in colour

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

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