ABCD-NP@MICCAI

Keyphrases

Publications

2019

Huijing Ren, Xuelin Wang, Sheng Wang, Zhengwu Zhang
Predict Fluid Intelligence of Adolescent Using Ensemble Learning. ABCD-NP@MICCAI (2019)
Po-Yu Kao, Angela Zhang, Michael Goebel, Jefferson W. Chen, B. S. Manjunath
Predicting Fluid Intelligence of Children Using T1-Weighted MR Images and a StackNet. ABCD-NP@MICCAI (2019)
Lihao Liu, Lequan Yu, Shujun Wang, Pheng-Ann Heng
Predicting Fluid Intelligence from MRI Images with Encoder-Decoder Regularization. ABCD-NP@MICCAI (2019)
Luke M. Guerdan, Peng Sun, Connor Rowland, Logan Harrison, Zhicheng Tang, Nickolas M. Wergeles, Yi Shang
Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction. ABCD-NP@MICCAI (2019)
Juan Miguel Valverde, Vandad Imani, John D. Lewis, Jussi Tohka
Predicting Intelligence Based on Cortical WM/GM Contrast, Cortical Thickness and Volumetry. ABCD-NP@MICCAI (2019)
Shikhar Srivastava, Fabian Eitel, Kerstin Ritter
Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach. ABCD-NP@MICCAI (2019)
Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Evgeny Burnaev, Vyacheslav Yarkin, Maxim Sharaev
Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction. ABCD-NP@MICCAI (2019)
Yanli Zhang-James, Stephen J. Glatt, Stephen V. Faraone
Nu Support Vector Machine in Prediction of Fluid Intelligence Using MRI Data. ABCD-NP@MICCAI (2019)
Yukai Zou, Ikbeom Jang, Timothy G. Reese, Jinxia Yao, Wenbin Zhu, Joseph Vincent Rispoli
Cortical and Subcortical Contributions to Predicting Intelligence Using 3D ConvNets. ABCD-NP@MICCAI (2019)
Leo Brueggeman, Tanner Koomar, Yongchao Huang, Brady Hoskins, Tien Tong, James Kent, Ethan Bahl, Charles E. Johnson, Alexander Powers, Douglas R. Langbehn, Jatin G. Vaidya, Hans J. Johnson, Jacob J. Michaelson
Ensemble Modeling of Neurocognitive Performance Using MRI-Derived Brain Structure Volumes. ABCD-NP@MICCAI (2019)
Tengfei Li, Xifeng Wang, Tianyou Luo, Yue Yang, Bingxin Zhao, Liuqing Yang, Ziliang Zhu, Hongtu Zhu
Adolescent Fluid Intelligence Prediction from Regional Brain Volumes and Cortical Curvatures Using BlockPC-XGBoost. ABCD-NP@MICCAI (2019)
Jeffrey N. Chiang, Nicco Reggente, John Dell'Italia, Zhong Sheng Zheng, Evan S. Lutkenhoff
Predicting Fluid Intelligence Using Anatomical Measures Within Functionally Defined Brain Networks. ABCD-NP@MICCAI (2019)
Michael Rebsamen, Christian Rummel, Ines Mürner-Lavanchy, Mauricio Reyes, Roland Wiest, Richard McKinley
Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019. ABCD-NP@MICCAI (2019)
Ágoston Mihalik, Mikael Brudfors, Maria Robu, Fabio S. Ferreira, Hongxiang Lin, Anita Rau, Tong Wu, Stefano B. Blumberg, Baris Kanber, Maira Tariq, Mar Estarellas Garcia, Cemre Zor, Daniil I. Nikitichev, Janaina Mourão Miranda, Neil P. Oxtoby
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression. ABCD-NP@MICCAI (2019)
Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. ABCD-NP@MICCAI (2019)
José G. Tamez-Peña, Jorge Orozco, Patricia Sosa, Alejandro Valdes, Fahimeh Nezhadmoghadam
Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI. ABCD-NP@MICCAI (2019)
Sara Ranjbar, Kyle W. Singleton, Lee Curtin, Susan Christine Massey, Andrea Hawkins-Daarud, Pamela R. Jackson, Kristin R. Swanson
Sex Differences in Predicting Fluid Intelligence of Adolescent Brain from T1-Weighted MRIs. ABCD-NP@MICCAI (2019)
Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. ABCD-NP@MICCAI (2019)
Yeeleng Scott Vang, Yingxin Cao, Xiaohui Xie
A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction. ABCD-NP@MICCAI (2019)
Agata Wlaszczyk, Agnieszka Kaminska, Agnieszka Pietraszek, Jakub Dabrowski, Mikolaj A. Pawlak, Hanna Nowicka
Predicting Fluid Intelligence from Structural MRI Using Random Forest regression. ABCD-NP@MICCAI (2019)
Neil P. Oxtoby, Fabio S. Ferreira, Ágoston Mihalik, Tong Wu, Mikael Brudfors, Hongxiang Lin, Anita Rau, Stefano B. Blumberg, Maria Robu, Cemre Zor, Maira Tariq, Mar Estarellas Garcia, Baris Kanber, Daniil I. Nikitichev, Janaina Mourão Miranda
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology. ABCD-NP@MICCAI (2019)

volume 11791, 2019

Adolescent Brain Cognitive Development Neurocognitive Prediction - First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings ABCD-NP@MICCAI 11791 (2019)