Ru Kong
Orcid: 0000-0002-7576-6049
According to our database1,
Ru Kong
authored at least 12 papers
between 2013 and 2023.
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Bibliography
2023
Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity.
NeuroImage, June, 2023
Comparison between gradients and parcellations for functional connectivity prediction of behavior.
NeuroImage, June, 2023
2022
Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI.
NeuroImage, 2022
Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development.
NeuroImage, 2022
2020
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.
NeuroImage, 2020
Proceedings of the 13th International Congress on Image and Signal Processing, 2020
Proceedings of the 13th International Congress on Image and Signal Processing, 2020
2019
Global signal regression strengthens association between resting-state functional connectivity and behavior.
NeuroImage, 2019
Individual-specific fMRI-Subspaces improve functional connectivity prediction of behavior.
NeuroImage, 2019
2018
Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence?
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018
2013
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2013