Ru Kong
Ru Kong
Verified email at u.nus.edu
TitleCited byYear
Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI
A Schaefer, R Kong, EM Gordon, TO Laumann, XN Zuo, AJ Holmes, ...
Cerebral Cortex 28 (9), 3095-3114, 2017
682017
Spatial topography of individual-specific cortical networks predicts human cognition, personality, and emotion
R Kong, J Li, C Orban, MR Sabuncu, H Liu, A Schaefer, N Sun, XN Zuo, ...
Cerebral Cortex 1, 19, 2018
342018
Data priority based slot allocation for wireless body area networks
R Kong, C Chen, W Yu, B Yang, X Guan
2013 International Conference on Wireless Communications and Signal …, 2013
132013
Global Signal Regression Strengthens Association between Resting-State Functional Connectivity and Behavior
J Li, R Kong, R Liegeois, C Orban, Y Tan, N Sun, AJ Holmes, ...
BioRxiv, 548644, 2019
32019
Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brain
P Wang, R Kong, X Kong, R Liégeois, C Orban, G Deco, ...
Science advances 5 (1), eaat7854, 2019
22019
Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence?
T He, R Kong, AJ Holmes, MR Sabuncu, SB Eickhoff, D Bzdok, J Feng, ...
2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2018
22018
Individual-specific fMRI-Subspaces improve functional connectivity prediction of behavior
R Kashyap, R Kong, S Bhattacharjee, J Li, J Zhou, BTT Yeo
NeuroImage 189, 804-812, 2019
2019
Do Deep Neural Networks Outperform Kernel Regression for Functional Connectivity Prediction of Behavior?
T He, R Kong, A Holmes, M Nguyen, M Sabuncu, SB Eickhoff, D Bzdok, ...
BioRxiv, 473603, 2018
2018
Controlling for Intra-Subject and Inter-Subject Variability in Individual-Specific Cortical Network Parcellations
R Kong, J Li, N Sun, MR Sabuncu, A Schaefer, XN Zuo, A Holmes, ...
bioRxiv, 213041, 2017
2017
Functional connectivity parcellation of the human brain
A Schaefer, R Kong, BTT Yeo
Machine Learning and Medical Imaging, 3-29, 2016
2016
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Articles 1–10