Junning Li

According to our database, Junning Li authored at least 30 papers between 2006 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Fault Diagnosis of Rolling Bearing Based on GA-VMD and Improved WOA-LSSVM.

Junning Li, Wuge Chen, Ka Han, Qian Wang

IEEE Access, 2020

2018

Topological false discovery rates for brain mapping based on signal height.

Junning Li, Jin-Kyu Gahm, Yonggang Shi, Arthur W. Toga

NeuroImage, 2018

Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes.

Ahmed Taha, Pechin Lo, Junning Li, Tao Zhao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Segmentation of Renal Structures for Image-Guided Surgery.

Junning Li, Pechin Lo, Ahmed Taha, Hang Wu, Tao Zhao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Clustering-based energy-aware virtual network embedding.

Xu Liu, Zhongbao Zhang, Junning Li, Sen Su

Int. J. Distributed Sens. Networks, 2017

2016

Transformation Invariant Control of Voxel-Wise False Discovery Rate.

Junning Li, Yonggang Shi, Arthur W. Toga

IEEE Trans. Medical Imaging, 2016

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

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, Haiwei Meng, Yuchun Tang, Fengchao Zang, Arthur W. Toga, Shuwei Liu

NeuroImage, 2015

Controlling False Discovery Rate in Signal Space for Transformation-Invariant Thresholding of Statistical Maps.

Junning Li, Yonggang Shi, Arthur W. Toga

Proceedings of the Information Processing in Medical Imaging, 2015

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

Persistent Reeb Graph Matching for Fast Brain Search.

Yonggang Shi, Junning Li, Arthur W. Toga

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Diffusion of Fiber Orientation Distribution Functions with a Rotation-Induced Riemannian Metric.

Junning Li, Yonggang Shi, Arthur W. Toga

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Rotational gradient field for interpolation of fiber orientation distribution in connectivity analysis.

Junning Li, Yonggang Shi, Arthur W. Toga

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

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, Fengchao Zang, Arthur W. Toga, Shuwei Liu

NeuroImage, 2013

Locally Weighted Multi-atlas Construction.

Junning Li, Yonggang Shi, Ivo D. Dinov, Arthur W. Toga

Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Voxelwise Spectral Diffusional Connectivity and Its Applications to Alzheimer's Disease and Intelligence Prediction.

Junning Li, Yan Jin, Yonggang Shi, Ivo D. Dinov, Danny J. J. Wang, Arthur W. Toga, Paul M. Thompson

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012

A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, <i>A Priori</i> Knowledge, and Group Inference.

Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown

Comput. Math. Methods Medicine, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases.

Yan Jin, Yonggang Shi, Liang Zhan, Junning Li, Greig I. de Zubicaray, Katie McMahon, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson

Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

An FDR-controlled, exploratory group modeling for assessing brain connectivity.

Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Automatic brain tumor detection in Magnetic Resonance Images.

Sahar Ghanavati, Junning Li, Ting Liu, Paul S. Babyn, Wendy Doda, George A. Lampropoulos

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2009

Controlling the False Discovery Rate of the Association/Causality Structure Learned with the PC Algorithm.

Junning Li, Z. Jane Wang

J. Mach. Learn. Res., 2009

2008

Bayesian Network Modeling for Discovering "Dependent Synergies" Among Muscles in Reaching Movements.

Junning Li, Z. Jane Wang, Janice J. Eng, Martin J. McKeown

IEEE Trans. Biomed. Eng., 2008

Dynamic Bayesian network modeling of fMRI: A comparison of group-analysis methods.

Junning Li, Z. Jane Wang, Samantha J. Palmer, Martin J. McKeown

NeuroImage, 2008

Controlling the false discovery rate in modeling brain functional connectivity.

Junning Li, Z. Jane Wang, Martin J. McKeown

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Local Linear Discriminant Analysis (LLDA) for group and region of interest (ROI)-based fMRI analysis.

Martin J. McKeown, Junning Li, Xuemei Huang, Mechelle Lewis, Seungshin Rhee, K. N. Young Truong, Z. Jane Wang

NeuroImage, 2007

Local Linear Discriminant Analysis (LLDA) for Inference of Multisubject FMRI Data.

Martin J. McKeown, Junning Li, Xuemei Huang, Z. Jane Wang

Proceedings of the IEEE International Conference on Acoustics, 2007

A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity.

Junning Li, Z. Jane Wang, Martin J. McKeown

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Dynamic Bayesian networks (DBNS) demonstrate impaired brain connectivity during performance of simultaneous movements in Parkinson's disease.

Junning Li, Z. Jane Wang, Martin J. McKeown

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Bayesian Network Modeling For Discovering "Directed Synergies" Among Muscles in Reaching Movements.

Junning Li, Z. Jane Wang, Martin J. McKeown

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006