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Junning Li
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2020 – today
- 2024
- [j14]Junning Li
, Wenguang Luo
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
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
Topological false discovery rates for brain mapping based on signal height. NeuroImage 167: 478-487 (2018) - [c17]Junning Li, Pechin Lo, Ahmed Taha
Segmentation of Renal Structures for Image-Guided Surgery. MICCAI (4) 2018: 454-462 - [c16]Ahmed Taha
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
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
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
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
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
Locally Weighted Multi-atlas Construction. MBIA 2013: 1-8 - [c10]Junning Li, Yan Jin
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
Fast Diffusion Tensor Registration with Exact Reorientation and Regularization. MICCAI (2) 2012: 138-145 - [c6]Yan Jin
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
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
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
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
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