Junning Li
Cytowane przez
Cytowane przez
Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix
J Li, L Ji
Heredity 95 (3), 221-227, 2005
Joint amplitude and connectivity compensatory mechanisms in Parkinson's disease
SJ Palmer, J Li, ZJ Wang, MJ McKeown
Neuroscience 166 (4), 1110-1118, 2010
Controlling the false discovery rate of the association/causality structure learned with the PC algorithm.
J Li, ZJ Wang
Journal of Machine Learning Research 10 (2), 2009
Dynamic Bayesian network modeling of fMRI: a comparison of group-analysis methods
J Li, ZJ Wang, SJ Palmer, MJ McKeown
Neuroimage 41 (2), 398-407, 2008
Spatial–temporal atlas of human fetal brain development during the early second trimester
J Zhan, ID Dinov, J Li, Z Zhang, S Hobel, Y Shi, X Lin, A Zamanyan, ...
Neuroimage 82, 115-126, 2013
Development of the human fetal hippocampal formation during early second trimester
X Ge, Y Shi, J Li, Z Zhang, X Lin, J Zhan, H Ge, J Xu, Q Yu, Y Leng, ...
Neuroimage 119, 33-43, 2015
Voxelwise spectral diffusional connectivity and its applications to Alzheimer’s disease and intelligence prediction
J Li, Y Jin, Y Shi, ID Dinov, DJ Wang, AW Toga, PM Thompson
International Conference on Medical Image Computing and Computer-Assisted …, 2013
Automatic population HARDI white matter tract clustering by label fusion of multiple tract atlases
Y Jin, Y Shi, L Zhan, J Li, GI De Zubicaray, KL McMahon, NG Martin, ...
Multimodal Brain Image Analysis: Second International Workshop, MBIA 2012 …, 2012
Bayesian network modeling for discovering “dependent synergies” among muscles in reaching movements
J Li, ZJ Wang, JJ Eng, MJ McKeown
IEEE Transactions on Biomedical Engineering 55 (1), 298-310, 2007
Mapping brain anatomical connectivity using diffusion magnetic resonance imaging: Structural connectivity of the human brain
J Li, Y Shi, AW Toga
IEEE signal processing magazine 33 (3), 36-51, 2016
Local linear discriminant analysis (LLDA) for group and region of interest (ROI)-based fMRI analysis
MJ McKeown, J Li, X Huang, MM Lewis, S Rhee, KNY Truong, ZJ Wang
Neuroimage 37 (3), 855-865, 2007
Fast local trust region technique for diffusion tensor registration using exact reorientation and regularization
J Li, Y Shi, G Tran, I Dinov, DJJ Wang, A Toga
IEEE transactions on medical imaging 33 (5), 1005-1022, 2013
Dynamic Bayesian networks (DBNS) demonstrate impaired brain connectivity during performance of simultaneous movements in Parkinson's disease
J Li, ZJ Wang, MJ McKeown
3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006 …, 2006
A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, A Priori Knowledge, and Group Inference
A Liu, J Li, ZJ Wang, MJ McKeown
Computational and mathematical methods in medicine 2012 (1), 967380, 2012
A framework for group analysis of fMRI data using dynamic Bayesian networks
J Li, ZJ Wang, MJ McKeown
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
A multi-subject, dynamic Bayesian networks (dbns) framework for brain effective connectivity
J Li, ZJ Wang, MJ McKeown
2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007
Learning brain connectivity with the false-discovery-rate-controlled PC-algorithm
J Li, ZJ Wang, MJ McKeown
2008 30th Annual International Conference of the IEEE Engineering in …, 2008
T2-imaging changes in the nigrosome-1 relate to clinical measures of parkinson’s disease
KA Fu, R Nathan, ID Dinov, J Li, AW Toga
Frontiers in Neurology 7, 174, 2016
Diffusion of fiber orientation distribution functions with a rotation-induced Riemannian metric
J Li, Y Shi, AW Toga
International Conference on Medical Image Computing and Computer-Assisted …, 2014
An FDR-controlled, exploratory group modeling for assessing brain connectivity
A Liu, J Li, ZJ Wang, MJ McKeown
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 558-561, 2012
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