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Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis

First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

  • Qian Wang
  • Alberto Gomez
  • Jana Hutter
  • Kristin McLeod
  • Veronika Zimmer
  • Oliver Zettinig
  • Roxane Licandro
  • Emma Robinson
  • Daan Christiaens
  • Esra Abaci Turk
  • Andrew Melbourne
Conference proceedings PIPPI 2019, SUSI 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11798)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11798)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. First Workshop on Smart UltraSound Imaging

    1. Front Matter
      Pages 1-1
    2. Fausto Milletari, Vighnesh Birodkar, Michal Sofka
      Pages 3-10
    3. João Ramalhinho, Henry Tregidgo, Moustafa Allam, Nikolina Travlou, Kurinchi Gurusamy, Brian Davidson et al.
      Pages 11-19
    4. Tianchi Liu, Mengdi Xu, Ziyu Zhang, Changping Dai, Haiyu Wang, Rui Zhang et al.
      Pages 20-28
    5. Andrew Gilbert, Marit Holden, Line Eikvil, Svein Arne Aase, Eigil Samset, Kristin McLeod
      Pages 29-37
    6. Jiajun Liang, Rian Huang, Peiyao Kong, Shengli Li, Tianfu Wang, Baiying Lei
      Pages 38-46
    7. Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz
      Pages 47-55
    8. Piotr Woznicki, Przemyslaw Przybyszewski, Norbert Kapinski, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz Borucki et al.
      Pages 65-73
    9. Courosh Mehanian, Sourabh Kulhare, Rachel Millin, Xinliang Zheng, Cynthia Gregory, Meihua Zhu et al.
      Pages 74-82
  3. 4th Workshop on Perinatal, Preterm and Paediatric Image Analysis

    1. Front Matter
      Pages 93-93
    2. Tomasz Włodarczyk, Szymon Płotka, Tomasz Trzciński, Przemysław Rokita, Nicole Sochacki-Wójcicka, Michał Lipa et al.
      Pages 95-103
    3. Irina Grigorescu, Lucilio Cordero-Grande, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez
      Pages 104-112
    4. Libao Guo, Yujin Hu, Baiying Lei, Jie Du, Muyi Mao, Zelong Jin et al.
      Pages 113-122
    5. Daniel Sobotka, Roxane Licandro, Michael Ebner, Ernst Schwartz, Tom Vercauteren, Sebastien Ourselin et al.
      Pages 123-132
    6. Jiarui Xing, Ulugbek Kamilov, Wenjie Wu, Yong Wang, Miaomiao Zhang
      Pages 133-142
    7. Héloïse de Vareilles, Zhongyi Sun, Manon Benders, Clara Fischer, François Leroy, Linda de Vries et al.
      Pages 143-152
    8. María Inmaculada García Ocaña, Karen López-Linares Román, Jorge Burgos San Cristóbal, Ana del Campo Real, Iván Macía Oliver
      Pages 153-160
    9. Kelly Payette, Ueli Moehrlen, Luca Mazzone, Nicole Ochsenbein-Kölble, Ruth Tuura, Raimund Kottke et al.
      Pages 161-170
    10. Athena Taymourtash, Ernst Schwartz, Karl-Heinz Nenning, Daniel Sobotka, Mariana Diogo, Gregor Kasprian et al.
      Pages 171-180
    11. Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
      Pages 181-188
  4. Back Matter
    Pages 189-190

About these proceedings

Introduction

This book constitutes the refereed joint proceedings of the First International Workshop on Smart Ultrasound Imaging, SUSI 2019, and the 4th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.

The 10 full papers presented at SUSI 2019 and the 10 full papers presented at PIPPI 2019 were carefully reviewed and selected.

The SUSI papers cover a wide range of medical applications of B-Mode ultrasound, including cardiac (echocardiography), abdominal (liver), fetal, musculoskeletal, and lung.

The PIPPI papers cover the detailed scientific study of volumetric growth, myelination and cortical microstructure, placental structure and function.

Keywords

artificial intelligence deep learning image analysis image reconstruction image segmentation machine learning medical imaging MRI neural networks signal processing ultrasonic imaging ultrasound images

Editors and affiliations

  1. 1.Shanghai Jiao Tong UniversityShanghaiChina
  2. 2.King's College LondonLondonUK
  3. 3.King's College LondonLondonUK
  4. 4.GE Vingmed Ultrasound, GE HealthcareOsloNorway
  5. 5.School of Imaging Sciences & Biomedical EngineeringKing's College LondonLondonUK
  6. 6.ImFusion GmbHMunichGermany
  7. 7.Computer Vision LabTU ViennaViennaAustria
  8. 8.School of Imaging Sciences & Biomedical EngineeringKing's College LondonLondonUK
  9. 9.School of Imaging Sciences & Biomedical EngineeringKing's College LondonLondonUK
  10. 10.Boston Children's HospitalBostonUK
  11. 11.School of Imaging Sciences & Biomedical EngineeringKing's College LondonLondonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-32875-7
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-32874-0
  • Online ISBN 978-3-030-32875-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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