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Adolescent Brain Cognitive Development Neurocognitive Prediction

First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

  • Kilian M. Pohl
  • Wesley K. Thompson
  • Ehsan Adeli
  • Marius George Linguraru
Conference proceedings ABCD-NP 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11791)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11791)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Po-Yu Kao, Angela Zhang, Michael Goebel, Jefferson W. Chen, B. S. Manjunath
    Pages 9-16
  3. Luke Guerdan, Peng Sun, Connor Rowland, Logan Harrison, Zhicheng Tang, Nickolas Wergeles et al.
    Pages 17-25
  4. Michael Rebsamen, Christian Rummel, Ines Mürner-Lavanchy, Mauricio Reyes, Roland Wiest, Richard McKinley
    Pages 26-34
  5. Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
    Pages 35-46
  6. Jose Tamez-Pena, Jorge Orozco, Patricia Sosa, Alejandro Valdes, Fahimeh Nezhadmoghadam
    Pages 47-56
  7. Juan Miguel Valverde, Vandad Imani, John D. Lewis, Jussi Tohka
    Pages 57-65
  8. Huijing Ren, Xuelin Wang, Sheng Wang, Zhengwu Zhang
    Pages 66-73
  9. Shikhar Srivastava, Fabian Eitel, Kerstin Ritter
    Pages 74-82
  10. Agata Wlaszczyk, Agnieszka Kaminska, Agnieszka Pietraszek, Jakub Dabrowski, Mikolaj A. Pawlak, Hanna Nowicka
    Pages 83-91
  11. Yanli Zhang-James, Stephen J. Glatt, Stephen V. Faraone
    Pages 92-98
  12. Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
    Pages 99-107
  13. Lihao Liu, Lequan Yu, Shujun Wang, Pheng-Ann Heng
    Pages 108-113
  14. Neil P. Oxtoby, Fabio S. Ferreira, Agoston Mihalik, Tong Wu, Mikael Brudfors, Hongxiang Lin et al.
    Pages 114-123
  15. Leo Brueggeman, Tanner Koomar, Yongchao Huang, Brady Hoskins, Tien Tong, James Kent et al.
    Pages 124-132
  16. Jeffrey N. Chiang, Nicco Reggente, John Dell’Italia, Zhong Sheng Zheng, Evan S. Lutkenhoff
    Pages 143-149
  17. Sara Ranjbar, Kyle W. Singleton, Lee Curtin, Susan Christine Massey, Andrea Hawkins-Daarud, Pamela R. Jackson et al.
    Pages 150-157
  18. Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Evgeny Burnaev, Vyacheslav Yarkin et al.
    Pages 158-166
  19. Tengfei Li, Xifeng Wang, Tianyou Luo, Yue Yang, Bingxin Zhao, Liuqing Yang et al.
    Pages 167-175
  20. Yukai Zou, Ikbeom Jang, Timothy G. Reese, Jinxia Yao, Wenbin Zhu, Joseph V. Rispoli
    Pages 176-185
  21. Back Matter
    Pages 187-188

About these proceedings

Introduction

This book constitutes the refereed proceedings of the First Challenge in Adolescent Brain Cognitive Development Neurocognitive Prediction, ABCD-NP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

29 submissions were carefully reviewed and 24 of them were accepted. Some of the 24 submissions were merged and resulted in the 21 papers that are presented in this book. The papers explore methods for predicting fluid intelligence from T1-weighed MRI of 8669 children (age 9-10 years) recruited by the Adolescent Brain Cognitive Development Study (ABCD) study; the largest long-term study of brain development and child health in the United States to date.

Keywords

ABCD Adolescence Brain Cognitive Development study artificial intelligence child health data mining decision trees fluid intelligence image processing machine learning magnetic resonance imaging medical image computing medical imaging MRI neural networks neurocognitive prediction pattern recognition regression analysis regression model support vector machines SVM

Editors and affiliations

  1. 1.Stanford UniversityStanfordUSA
  2. 2.University of California, San DiegoLa JollaUSA
  3. 3.Stanford UniversityStanfordUSA
  4. 4.Children’s National Health SystemWashingtonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-31901-4
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-31900-7
  • Online ISBN 978-3-030-31901-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site