Tian Ge

Orcid: 0000-0003-4785-4444

According to our database1, Tian Ge authored at least 15 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
Global signal regression strengthens association between resting-state functional connectivity and behavior.
NeuroImage, 2019

2017
Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registration.
NeuroImage, 2017

2015
A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application.
NeuroImage, 2015

2014
Spatial Modeling of Multiple Sclerosis for Disease Subtype Prediction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Some novel models and methods for neuroimaging data analysis.
PhD thesis, 2013

Imaging genetics - towards discovery neuroscience.
Quant. Biol., 2013

Attention-Dependent Modulation of Cortical Taste Circuits Revealed by Granger Causality with Signal-Dependent Noise.
PLoS Comput. Biol., 2013

Genetics of the connectome.
NeuroImage, 2013

2012
Invariance Principles Allowing of Non-Lyapunov Functions for Estimating Attractor of Discrete Dynamical Systems.
IEEE Trans. Autom. Control., 2012

Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures.
NeuroImage, 2012

Componential Granger causality, and its application to identifying the source and mechanisms of the top-down biased activation that controls attention to affective vs sensory processing.
NeuroImage, 2012

2011
Granger causality with signal-dependent noise.
NeuroImage, 2011

Granger Causality: Its Foundation and Applications in Systems Biology.
Proceedings of the Handbook of Research on Computational and Systems Biology, 2011

2010
Find synaptic topology from spike trains.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
A Novel Extended Granger Causal Model Approach Demonstrates Brain Hemispheric Differences during Face Recognition Learning.
PLoS Comput. Biol., 2009


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