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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

Author: Kilian M Pohl; Wesley Thompson, (Of University of California San Diego); Ehsan Adeli; Marius George Linguraru
Publisher: Cham, Switzerland : Springer, 2019.
Series: Lecture notes in computer science, 11791.; LNCS sublibrary., SL 6,, Image processing, computer vision, pattern recognition, and graphics.
Edition/Format:   eBook : Document : Conference publication : English
Summary:
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  Read more...
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Kilian M Pohl; Wesley Thompson, (Of University of California San Diego); Ehsan Adeli; Marius George Linguraru
ISBN: 9783030319014 3030319016
OCLC Number: 1123174678
Notes: International conference proceedings.
Includes author index.
Description: 1 online resource (xi, 188 pages) : illustrations (some color).
Contents: A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction --
Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet --
Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction --
Surface-based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019 --
Prediction of Fluid Intelligence From T1-Weighted Magnetic Resonance Images --
Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI --
Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry --
Predict Fluid Intelligence of Adolescent Using Ensemble Learning --
Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach --
Predicting Fluid intelligence from structural MRI using Random Forest regression --
Nu Support Vector Machine in Prediction of Fluid Intelligence Using MRI Data --
An AutoML Approach for the Prediction of Fluid Intelligence From MRI-Derived Features --
Predicting Fluid Intelligence from MRI images with Encoder-decoder Regularization --
ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology --
Ensemble Modeling of Neurocognitive Performance Using MRI-derived Brain Structure Volumes --
ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression --
Predicting fluid intelligence using anatomical measures within functionally defined brain networks --
Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs --
Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction --
Adolescent fluid intelligence prediction from regional brain volumes and cortical curvatures using BlockPC-XGBoost --
Cortical and Subcortical Contributions to Predicting Intelligence using 3D ConvNets.
Series Title: Lecture notes in computer science, 11791.; LNCS sublibrary., SL 6,, Image processing, computer vision, pattern recognition, and graphics.
Other Titles: ABCD-NP 2019
Responsibility: Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru (eds.).

Abstract:

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  Read more...

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