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Junning Li
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2020 – today
- 2024
- [j14]Junning Li, Wenguang Luo, Mengsha Bai, Maokang Song:
Fault diagnosis of high-speed rolling bearing in the whole life cycle based on improved grey wolf optimizer-least squares support vector machines. Digit. Signal Process. 145: 104345 (2024) - 2020
- [j13]Junning Li, Wuge Chen, Ka Han, Qian Wang:
Fault Diagnosis of Rolling Bearing Based on GA-VMD and Improved WOA-LSSVM. IEEE Access 8: 166753-166767 (2020)
2010 – 2019
- 2018
- [j12]Junning Li, Jin-Kyu Gahm, Yonggang Shi, Arthur W. Toga:
Topological false discovery rates for brain mapping based on signal height. NeuroImage 167: 478-487 (2018) - [c17]Junning Li, Pechin Lo, Ahmed Taha, Hang Wu, Tao Zhao:
Segmentation of Renal Structures for Image-Guided Surgery. MICCAI (4) 2018: 454-462 - [c16]Ahmed Taha, Pechin Lo, Junning Li, Tao Zhao:
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes. MICCAI (4) 2018: 463-471 - [i1]Ahmed Taha, Pechin Lo, Junning Li, Tao Zhao:
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes. CoRR abs/1806.06769 (2018) - 2017
- [j11]Xu Liu, Zhongbao Zhang, Junning Li, Sen Su:
Clustering-based energy-aware virtual network embedding. Int. J. Distributed Sens. Networks 13(8) (2017) - 2016
- [j10]Junning Li, Yonggang Shi, Arthur W. Toga:
Mapping Brain Anatomical Connectivity Using Diffusion Magnetic Resonance Imaging: Structural connectivity of the human brain. IEEE Signal Process. Mag. 33(3): 36-51 (2016) - [j9]Junning Li, Yonggang Shi, Arthur W. Toga:
Transformation Invariant Control of Voxel-Wise False Discovery Rate. IEEE Trans. Medical Imaging 35(10): 2243-2257 (2016) - 2015
- [j8]Xinting Ge, Yonggang Shi, Junning Li, Zhonghe Zhang, Xiangtao Lin, Jinfeng Zhan, Haitao Ge, Junhai Xu, Qiaowen Yu, Yuan Leng, Gaojun Teng, Lei Feng, Haiwei Meng, Yuchun Tang, Fengchao Zang, Arthur W. Toga, Shuwei Liu:
Development of the human fetal hippocampal formation during early second trimester. NeuroImage 119: 33-43 (2015) - [c15]Junning Li, Yonggang Shi, Arthur W. Toga:
Controlling False Discovery Rate in Signal Space for Transformation-Invariant Thresholding of Statistical Maps. IPMI 2015: 125-136 - 2014
- [j7]Junning Li, Yonggang Shi, Giang Tran, Ivo D. Dinov, Danny J. J. Wang, Arthur W. Toga:
Fast Local Trust Region Technique for Diffusion Tensor Registration Using Exact Reorientation and Regularization. IEEE Trans. Medical Imaging 33(5): 1005-1022 (2014) - [c14]Junning Li, Yonggang Shi, Arthur W. Toga:
Rotational gradient field for interpolation of fiber orientation distribution in connectivity analysis. ISBI 2014: 1051-1054 - [c13]Junning Li, Yonggang Shi, Arthur W. Toga:
Diffusion of Fiber Orientation Distribution Functions with a Rotation-Induced Riemannian Metric. MICCAI (3) 2014: 249-256 - [c12]Yonggang Shi, Junning Li, Arthur W. Toga:
Persistent Reeb Graph Matching for Fast Brain Search. MLMI 2014: 306-313 - 2013
- [j6]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, Fengchao Zang, Arthur W. Toga, Shuwei Liu:
Spatial-temporal atlas of human fetal brain development during the early second trimester. NeuroImage 82: 115-126 (2013) - [c11]Junning Li, Yonggang Shi, Ivo D. Dinov, Arthur W. Toga:
Locally Weighted Multi-atlas Construction. MBIA 2013: 1-8 - [c10]Junning Li, Yan Jin, Yonggang Shi, Ivo D. Dinov, Danny J. J. Wang, Arthur W. Toga, Paul M. Thompson:
Voxelwise Spectral Diffusional Connectivity and Its Applications to Alzheimer's Disease and Intelligence Prediction. MICCAI (1) 2013: 655-662 - 2012
- [j5]Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown:
A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, A Priori Knowledge, and Group Inference. Comput. Math. Methods Medicine 2012: 967380:1-967380:14 (2012) - [c9]Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown:
An FDR-controlled, exploratory group modeling for assessing brain connectivity. ISBI 2012: 558-561 - [c8]Sahar Ghanavati, Junning Li, Ting Liu, Paul S. Babyn, Wendy Doda, George A. Lampropoulos:
Automatic brain tumor detection in Magnetic Resonance Images. ISBI 2012: 574-577 - [c7]Junning Li, Yonggang Shi, Giang Tran, Ivo D. Dinov, Danny J. J. Wang, Arthur W. Toga:
Fast Diffusion Tensor Registration with Exact Reorientation and Regularization. MICCAI (2) 2012: 138-145 - [c6]Yan Jin, Yonggang Shi, Liang Zhan, Junning Li, Greig I. de Zubicaray, Katie McMahon, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson:
Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases. MBIA 2012: 147-156
2000 – 2009
- 2009
- [j4]Junning Li, Z. Jane Wang:
Controlling the False Discovery Rate of the Association/Causality Structure Learned with the PC Algorithm. J. Mach. Learn. Res. 10: 475-514 (2009) - 2008
- [j3]Junning Li, Z. Jane Wang, Samantha J. Palmer, Martin J. McKeown:
Dynamic Bayesian network modeling of fMRI: A comparison of group-analysis methods. NeuroImage 41(2): 398-407 (2008) - [j2]Junning Li, Z. Jane Wang, Janice J. Eng, Martin J. McKeown:
Bayesian Network Modeling for Discovering "Dependent Synergies" Among Muscles in Reaching Movements. IEEE Trans. Biomed. Eng. 55(1): 298-310 (2008) - [c5]Junning Li, Z. Jane Wang, Martin J. McKeown:
Controlling the false discovery rate in modeling brain functional connectivity. ICASSP 2008: 2105-2108 - 2007
- [j1]Martin J. McKeown, Junning Li, Xuemei Huang, Mechelle Lewis, Seungshin Rhee, K. N. Young Truong, Z. Jane Wang:
Local Linear Discriminant Analysis (LLDA) for group and region of interest (ROI)-based fMRI analysis. NeuroImage 37(3): 855-865 (2007) - [c4]Martin J. McKeown, Junning Li, Xuemei Huang, Z. Jane Wang:
Local Linear Discriminant Analysis (LLDA) for Inference of Multisubject FMRI Data. ICASSP (1) 2007: 305-308 - [c3]Junning Li, Z. Jane Wang, Martin J. McKeown:
A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity. ICASSP (1) 2007: 429-432 - 2006
- [c2]Junning Li, Z. Jane Wang, Martin J. McKeown:
Bayesian Network Modeling For Discovering "Directed Synergies" Among Muscles in Reaching Movements. ICASSP (2) 2006: 1156-1159 - [c1]Junning Li, Z. Jane Wang, Martin J. McKeown:
Dynamic Bayesian networks (DBNS) demonstrate impaired brain connectivity during performance of simultaneous movements in Parkinson's disease. ISBI 2006: 964-967
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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