Adolescent Brain Cognitive Development Neurocognitive Prediction - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783030319007, 9783030319014

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Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI

Adolescent Brain Cognitive Development Neurocognitive Prediction - Lecture Notes in Computer Science ◽

10.1007/978-3-030-31901-4_6 ◽

2019 ◽

pp. 47-56

Author(s):

Jose Tamez-Pena ◽

Jorge Orozco ◽

Patricia Sosa ◽

Alejandro Valdes ◽

Fahimeh Nezhadmoghadam

Keyword(s):

Random Forest ◽

Fluid Intelligence ◽

Intelligence Scores

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Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images

Adolescent Brain Cognitive Development Neurocognitive Prediction - Lecture Notes in Computer Science ◽

10.1007/978-3-030-31901-4_5 ◽

2019 ◽

pp. 35-46

Author(s):

Sebastian Pölsterl ◽

Benjamín Gutiérrez-Becker ◽

Ignacio Sarasua ◽

Abhijit Guha Roy ◽

Christian Wachinger

Keyword(s):

Magnetic Resonance ◽

Fluid Intelligence ◽

Magnetic Resonance Images

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Cortical and Subcortical Contributions to Predicting Intelligence Using 3D ConvNets

Adolescent Brain Cognitive Development Neurocognitive Prediction - Lecture Notes in Computer Science ◽

10.1007/978-3-030-31901-4_21 ◽

2019 ◽

pp. 176-185

Author(s):

Yukai Zou ◽

Ikbeom Jang ◽

Timothy G. Reese ◽

Jinxia Yao ◽

Wenbin Zhu ◽

...

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Ensemble Modeling of Neurocognitive Performance Using MRI-Derived Brain Structure Volumes

Adolescent Brain Cognitive Development Neurocognitive Prediction - Lecture Notes in Computer Science ◽

10.1007/978-3-030-31901-4_15 ◽

2019 ◽

pp. 124-132

Author(s):

Leo Brueggeman ◽

Tanner Koomar ◽

Yongchao Huang ◽

Brady Hoskins ◽

Tien Tong ◽

...

Keyword(s):

Brain Structure ◽

Ensemble Modeling ◽

Neurocognitive Performance

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Predicting Fluid Intelligence from MRI Images with Encoder-Decoder Regularization

Adolescent Brain Cognitive Development Neurocognitive Prediction - Lecture Notes in Computer Science ◽

10.1007/978-3-030-31901-4_13 ◽

2019 ◽

pp. 108-113

Author(s):

Lihao Liu ◽

Lequan Yu ◽

Shujun Wang ◽

Pheng-Ann Heng

Keyword(s):

Fluid Intelligence

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Predicting Intelligence Based on Cortical WM/GM Contrast, Cortical Thickness and Volumetry

Adolescent Brain Cognitive Development Neurocognitive Prediction - Lecture Notes in Computer Science ◽

10.1007/978-3-030-31901-4_7 ◽

2019 ◽

pp. 57-65

Author(s):

Juan Miguel Valverde ◽

Vandad Imani ◽

John D. Lewis ◽

Jussi Tohka

Keyword(s):

Cortical Thickness

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Predict Fluid Intelligence of Adolescent Using Ensemble Learning

Adolescent Brain Cognitive Development Neurocognitive Prediction - Lecture Notes in Computer Science ◽

10.1007/978-3-030-31901-4_8 ◽

2019 ◽

pp. 66-73

Author(s):

Huijing Ren ◽

Xuelin Wang ◽

Sheng Wang ◽

Zhengwu Zhang

Keyword(s):

Ensemble Learning ◽

Fluid Intelligence

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Adolescent Fluid Intelligence Prediction from Regional Brain Volumes and Cortical Curvatures Using BlockPC-XGBoost

Adolescent Brain Cognitive Development Neurocognitive Prediction - Lecture Notes in Computer Science ◽

10.1007/978-3-030-31901-4_20 ◽

2019 ◽

pp. 167-175 ◽

Cited By ~ 1

Author(s):

Tengfei Li ◽

Xifeng Wang ◽

Tianyou Luo ◽

Yue Yang ◽

Bingxin Zhao ◽

...

Keyword(s):

Fluid Intelligence ◽

Brain Volumes ◽

Regional Brain

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A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction

Adolescent Brain Cognitive Development Neurocognitive Prediction - Lecture Notes in Computer Science ◽

10.1007/978-3-030-31901-4_1 ◽

2019 ◽

pp. 1-8

Author(s):

Yeeleng S. Vang ◽

Yingxin Cao ◽

Xiaohui Xie

Keyword(s):

Deep Learning ◽

Fluid Intelligence ◽

Gradient Boosting ◽

Gradient Boosting Machine

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Sex Differences in Predicting Fluid Intelligence of Adolescent Brain from T1-Weighted MRIs

Adolescent Brain Cognitive Development Neurocognitive Prediction - Lecture Notes in Computer Science ◽

10.1007/978-3-030-31901-4_18 ◽

2019 ◽

pp. 150-157

Author(s):

Sara Ranjbar ◽

Kyle W. Singleton ◽

Lee Curtin ◽

Susan Christine Massey ◽

Andrea Hawkins-Daarud ◽

...

Keyword(s):

Sex Differences ◽

Fluid Intelligence

Download Full-text

Adolescent Brain Cognitive Development Neurocognitive Prediction - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI

Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images

Cortical and Subcortical Contributions to Predicting Intelligence Using 3D ConvNets

Ensemble Modeling of Neurocognitive Performance Using MRI-Derived Brain Structure Volumes

Predicting Fluid Intelligence from MRI Images with Encoder-Decoder Regularization

Predicting Intelligence Based on Cortical WM/GM Contrast, Cortical Thickness and Volumetry

Predict Fluid Intelligence of Adolescent Using Ensemble Learning

Adolescent Fluid Intelligence Prediction from Regional Brain Volumes and Cortical Curvatures Using BlockPC-XGBoost

A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction

Sex Differences in Predicting Fluid Intelligence of Adolescent Brain from T1-Weighted MRIs

Adolescent Brain Cognitive Development Neurocognitive Prediction - Lecture Notes in Computer Science
Latest Publications