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2010 – 2019
- 2019
[j11]Jingwei Li
, Ru Kong, Raphaël Liégeois, Csaba Orban, Yanrui Tan, Nanbo Sun, Avram J. Holmes, Mert R. Sabuncu, Tian Ge, B. T. Thomas Yeo:
Global signal regression strengthens association between resting-state functional connectivity and behavior. NeuroImage 196: 126-141 (2019)- 2017
- [j10]Tong Tong, Iman Aganj, Tian Ge, Jonathan R. Polimeni, Bruce Fischl:
Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registration. NeuroImage 158: 346-355 (2017) - 2015
- [j9]Tian Ge, Thomas E. Nichols, Debashis Ghosh, Elizabeth C. Mormino, Jordan W. Smoller, Mert R. Sabuncu:
A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application. NeuroImage 109: 505-514 (2015) - 2014
- [c2]Bernd Taschler, Tian Ge, Kerstin Bendfeldt, Nicole Müller-Lenke, Timothy D. Johnson, Thomas E. Nichols:
Spatial Modeling of Multiple Sclerosis for Disease Subtype Prediction. MICCAI (2) 2014: 797-804 - 2013
- [b1]Tian Ge:
Some novel models and methods for neuroimaging data analysis. University of Warwick, Coventry, UK, 2013 - [j8]Paul M. Thompson, Tian Ge, David C. Glahn, Neda Jahanshad, Thomas E. Nichols:
Genetics of the connectome. NeuroImage 80: 475-488 (2013) - [j7]Qiang Luo, Tian Ge, Fabian Grabenhorst, Jianfeng Feng, Edmund T. Rolls:
Attention-Dependent Modulation of Cortical Taste Circuits Revealed by Granger Causality with Signal-Dependent Noise. PLoS Comput. Biol. 9(10) (2013) - [j6]Tian Ge, Gunter Schumann, Jianfeng Feng:
Imaging genetics - towards discovery neuroscience. Quant. Biol. 1(4): 227-245 (2013) - 2012
- [j5]Tian Ge, Jianfeng Feng, Fabian Grabenhorst, Edmund T. Rolls:
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 59(2): 1846-1858 (2012) - [j4]Tian Ge, Jianfeng Feng, Derrek P. Hibar, Paul M. Thompson, Thomas E. Nichols:
Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures. NeuroImage 63(2): 858-873 (2012) - [j3]Tian Ge, Wei Lin, Jianfeng Feng:
Invariance Principles Allowing of Non-Lyapunov Functions for Estimating Attractor of Discrete Dynamical Systems. IEEE Trans. Autom. Control. 57(2): 500-505 (2012) - 2011
- [j2]Qiang Luo, Tian Ge, Jianfeng Feng:
Granger causality with signal-dependent noise. NeuroImage 57(4): 1422-1429 (2011) - [p1]Tian Ge, Jianfeng Feng:
Granger Causality: Its Foundation and Applications in Systems Biology. Handbook of Research on Computational and Systems Biology 2011: 511-532 - 2010
- [c1]Tian Ge, Wenlian Lu, Jianfeng Feng:
Find synaptic topology from spike trains. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [j1]Tian Ge, Keith M. Kendrick, Jianfeng Feng:
A Novel Extended Granger Causal Model Approach Demonstrates Brain Hemispheric Differences during Face Recognition Learning. PLoS Comput. Biol. 5(11) (2009)
Coauthor Index
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