Bayesian Network Modeling For Discovering "Directed Synergies" Among Muscles in Reaching Movements. - Junning Li; Z. Jane Wang 001; Martin J. McKeown (ICASSP (2), 2006)

Dynamic Bayesian networks (DBNS) demonstrate impaired brain connectivity during performance of simultaneous movements in Parkinson's disease. - Junning Li; Z. Jane Wang 001; Martin J. McKeown (ISBI, 2006)

A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity. - Junning Li; Z. Jane Wang 001; Martin J. McKeown (ICASSP (1), 2007)

Local Linear Discriminant Analysis (LLDA) for Inference of Multisubject FMRI Data. - Martin J. McKeown; Junning Li; Xuemei Huang 002; Z. Jane Wang 001 (ICASSP (1), 2007)

Local Linear Discriminant Analysis (LLDA) for group and region of interest (ROI)-based fMRI analysis. - Martin J. McKeown; Junning Li; Xuemei Huang 002; Mechelle Lewis; Seungshin Rhee; K. N. Young Truong; Z. Jane Wang 001 (NeuroImage, 2007)

Controlling the false discovery rate in modeling brain functional connectivity. - Junning Li; Z. Jane Wang 001; Martin J. McKeown (ICASSP, 2008)

Dynamic Bayesian network modeling of fMRI: A comparison of group-analysis methods. - Junning Li; Z. Jane Wang 001; Samantha J. Palmer; Martin J. McKeown (NeuroImage, 2008)

Bayesian Network Modeling for Discovering "Dependent Synergies" Among Muscles in Reaching Movements. - Junning Li; Z. Jane Wang 001; Janice J. Eng; Martin J. McKeown (IEEE Trans. Biomed. Eng., 2008)

Controlling the False Discovery Rate of the Association/Causality Structure Learned with the PC Algorithm. - Junning Li; Z. Jane Wang 001 (J. Mach. Learn. Res., 2009)

Automatic brain tumor detection in Magnetic Resonance Images. - Sahar Ghanavati; Junning Li; Ting Liu 004; Paul S. Babyn; Wendy Doda; George A. Lampropoulos (ISBI, 2012)

An FDR-controlled, exploratory group modeling for assessing brain connectivity. - Aiping Liu; Junning Li; Z. Jane Wang 001; Martin J. McKeown (ISBI, 2012)

Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases. - Yan Jin 001; Yonggang Shi; Liang Zhan; Junning Li; Greig I. de Zubicaray; Katie McMahon; Nicholas G. Martin; Margaret J. Wright; Paul M. Thompson (MBIA, 2012)

Fast Diffusion Tensor Registration with Exact Reorientation and Regularization. - Junning Li; Yonggang Shi; Giang Tran; Ivo D. Dinov; Danny J. J. Wang; Arthur W. Toga (MICCAI (2), 2012)

A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, A Priori Knowledge, and Group Inference. - Aiping Liu; Junning Li; Z. Jane Wang 001; Martin J. McKeown (Comput. Math. Methods Medicine, 2012)

Voxelwise Spectral Diffusional Connectivity and Its Applications to Alzheimer's Disease and Intelligence Prediction. - Junning Li; Yan Jin 001; Yonggang Shi; Ivo D. Dinov; Danny J. J. Wang; Arthur W. Toga; Paul M. Thompson (MICCAI (1), 2013)

Locally Weighted Multi-atlas Construction. - Junning Li; Yonggang Shi; Ivo D. Dinov; Arthur W. Toga (MBIA, 2013)

Spatial-temporal atlas of human fetal brain development during the early second trimester. - Jinfeng Zhan; Ivo D. Dinov; Junning Li; Zhonghe Zhang; Sam Hobel; Yonggang Shi; Xiangtao Lin; Alen Zamanyan; Lei Feng; Gaojun Teng; Fang Fang; Yuchun Tang; et al. (NeuroImage, 2013)

Rotational gradient field for interpolation of fiber orientation distribution in connectivity analysis. - Junning Li; Yonggang Shi; Arthur W. Toga (ISBI, 2014)

Diffusion of Fiber Orientation Distribution Functions with a Rotation-Induced Riemannian Metric. - Junning Li; Yonggang Shi; Arthur W. Toga (MICCAI (3), 2014)

Persistent Reeb Graph Matching for Fast Brain Search. - Yonggang Shi; Junning Li; Arthur W. Toga (MLMI, 2014)

Fast Local Trust Region Technique for Diffusion Tensor Registration Using Exact Reorientation and Regularization. - Junning Li; Yonggang Shi; Giang Tran; Ivo D. Dinov; Danny J. J. Wang; Arthur W. Toga (IEEE Trans. Medical Imaging, 2014)

Controlling False Discovery Rate in Signal Space for Transformation-Invariant Thresholding of Statistical Maps. - Junning Li; Yonggang Shi; Arthur W. Toga (IPMI, 2015)

Development of the human fetal hippocampal formation during early second trimester. - Xinting Ge; Yonggang Shi; Junning Li; Zhonghe Zhang; Xiangtao Lin; Jinfeng Zhan; Haitao Ge; Junhai Xu; Qiaowen Yu; Yuan Leng; Gaojun Teng; Lei Feng; et al. (NeuroImage, 2015)

Mapping Brain Anatomical Connectivity Using Diffusion Magnetic Resonance Imaging: Structural connectivity of the human brain. - Junning Li; Yonggang Shi; Arthur W. Toga (IEEE Signal Process. Mag., 2016)

Transformation Invariant Control of Voxel-Wise False Discovery Rate. - Junning Li; Yonggang Shi; Arthur W. Toga (IEEE Trans. Medical Imaging, 2016)

Clustering-based energy-aware virtual network embedding. - Xu Liu; Zhongbao Zhang; Junning Li; Sen Su (Int. J. Distributed Sens. Networks, 2017)

Segmentation of Renal Structures for Image-Guided Surgery. - Junning Li; Pechin Lo; Ahmed Taha 001; Hang Wu; Tao Zhao (MICCAI (4), 2018)

Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes. - Ahmed Taha 001; Pechin Lo; Junning Li; Tao Zhao (MICCAI (4), 2018)

Topological false discovery rates for brain mapping based on signal height. - Junning Li; Jin-Kyu Gahm; Yonggang Shi; Arthur W. Toga (NeuroImage, 2018)

Fault Diagnosis of Rolling Bearing Based on GA-VMD and Improved WOA-LSSVM. - Junning Li; Wuge Chen; Ka Han; Qian Wang (IEEE Access, 2020)

Fault diagnosis of high-speed rolling bearing in the whole life cycle based on improved grey wolf optimizer-least squares support vector machines. - Junning Li; Wenguang Luo; Mengsha Bai; Maokang Song (Digit. Signal Process., 2024)

Fault diagnosis of high-speed rolling bearings based on multi-feature fusion fuzzy c-means. - Wenguang Luo; Junning Li; Maokang Song; Jinpeng Wen (Digit. Signal Process., 2025)