Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11791)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: ABCD-NP 2019.
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About this book
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.
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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
Table of contents (21 papers)
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Adolescent Brain Cognitive Development Neurocognitive Prediction
Editors and Affiliations
Bibliographic Information
Book Title: Adolescent Brain Cognitive Development Neurocognitive Prediction
Book Subtitle: First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Editors: Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-31901-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-31900-7Published: 09 October 2019
eBook ISBN: 978-3-030-31901-4Published: 10 October 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 188
Number of Illustrations: 8 b/w illustrations, 49 illustrations in colour
Topics: Image Processing and Computer Vision, Machine Learning, Probability and Statistics in Computer Science, Data Mining and Knowledge Discovery