Jinglei Lv

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 47

Top Topics

Functional Brain

Groupwise Registration

Sparse Representation

Convolutional Neural Networks

Top Venues

IEEE Trans. Biomed. Eng.

Medical Image Anal.

Publications

Yimin Hou, Shuyue Jia, Xiangmin Lun, Ziqian Hao, Yan Shi, Yang Li, Rui Zeng, Jinglei Lv
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Enze Shi, Sigang Yu, Yanqing Kang, Jinru Wu, Lin Zhao, Dajiang Zhu, Jinglei Lv, Tianming Liu, Xintao Hu, Shu Zhang
MEET: A Multi-Band EEG Transformer for Brain States Decoding. IEEE Trans. Biomed. Eng. 71 (5) (2024)
Marilena M. Demayo, Jinglei Lv, Shantel L. Duffy, Arkiev D'Souza, Loren Mowszowski, Sharon L. Naismith, Fernando Calamante
Hippocampal Neuronal Integrity and Functional Connectivity Within the Default Mode Network in Mild Cognitive Impairment: A Multimodal Investigation. Brain Connect. 13 (3) (2023)
Qing Li, Haixing Dai, Jinglei Lv, Lin Zhao, Zhengliang Liu, Zihao Wu, Xia Wu, Claire Coles, Xiaoping Hu, Tianming Liu, Dajiang Zhu
Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search. ADMA (3) (2023)
Shu Zhang, Junxin Wang, Sigang Yu, Ruoyang Wang, Junwei Han, Shijie Zhao, Tianming Liu, Jinglei Lv
An explainable deep learning framework for characterizing and interpreting human brain states. Medical Image Anal. 83 (2023)
Liting Wang, Xintao Hu, Yudan Ren, Jinglei Lv, Shijie Zhao, Lei Guo, Tianming Liu, Junwei Han
Arousal modulates the amygdala-insula reciprocal connectivity during naturalistic emotional movie watching. NeuroImage 279 (2023)
Yudan Ren, Huan Liu, Shu Zhang, Jinglei Lv
Editorial: Computational modeling methods for naturalistic neuroimaging data. Frontiers Comput. Neurosci. 17 (2023)
Johanna M. M. Bayer, Richard Dinga, Seyed Mostafa Kia, Akhil R. Kottaram, Thomas Wolfers, Jinglei Lv, Andrew Zalesky, Lianne Schmaal, Andre F. Marquand
Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models. NeuroImage 264 (2022)
Jiadong Yan, Yuzhong Chen, Zhenxiang Xiao, Shu Zhang, Mingxin Jiang, Tianqi Wang, Tuo Zhang, Jinglei Lv, Benjamin Becker, Rong Zhang, Dajiang Zhu, Junwei Han, Dezhong Yao, Keith M. Kendrick, Tianming Liu, Xi Jiang
Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs). Medical Image Anal. 80 (2022)
Rui Zeng, Jinglei Lv, He Wang, Luping Zhou, Michael Barnett, Fernando Calamante, Chenyu Wang
FOD-Net: A deep learning method for fiber orientation distribution angular super resolution. Medical Image Anal. 79 (2022)
Yimin Hou, Shuyue Jia, Shu Zhang, Xiangmin Lun, Yan Shi, Yang Li, Hanrui Yang, Rui Zeng, Jinglei Lv
Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition. CoRR (2020)
Mingxin Jiang, Shimin Yang, Jiadong Yan, Shu Zhang, Huan Liu, Lin Zhao, Haixing Dai, Jinglei Lv, Tuo Zhang, Tianming Liu, Keith M. Kendrick, Xi Jiang
Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks. MLMI@MICCAI (2020)
Shijie Zhao, Yan Cui, Linwei Huang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Shu Zhang, Tianming Liu, Jinglei Lv
Supervised Brain Network Learning Based on Deep Recurrent Neural Networks. IEEE Access 8 (2020)
Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li
Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). MICCAI (7) (2020)
Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. 67 (6) (2020)
Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li
A Novel fMRI Representation Learning Framework with GAN. MLMI@MICCAI (2020)
Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li
Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. MICCAI (7) (2020)
Qing Li, Wei Zhang, Jinglei Lv, Xia Wu, Tianming Liu
Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition. MICCAI (7) (2020)
Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. MLMI@MICCAI (2020)
Xiangmin Lun, Shuyue Jia, Yimin Hou, Yan Shi, Yang Li, Hanrui Yang, Shu Zhang, Jinglei Lv
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals. CoRR (2020)
Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. IEEE Trans. Biomed. Eng. 66 (1) (2019)
Wei Zhang, Jinglei Lv, Shu Zhang, Yu Zhao, Tianming Liu
Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding. ISBI (2018)
Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu
Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex. IEEE Trans. Biomed. Eng. 65 (6) (2018)
Shijie Zhao, Junwei Han, Xi Jiang, Heng Huang, Huan Liu, Jinglei Lv, Lei Guo, Tianming Liu
Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts. Neuroinformatics 16 (3-4) (2018)
Fangfei Ge, Jinglei Lv, Xintao Hu, Lei Guo, Junwei Han, Shijie Zhao, Tianming Liu
Exploring intrinsic networks and their interactions using group wise temporal sparse coding. ISBI (2018)
Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu
Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. NeuroImage 180 (Part) (2018)
Jinglei Lv, Vinh Thai Nguyen, Johan van der Meer, Michael Breakspear, Christine Cong Guo
N-way Decomposition: Towards Linking Concurrent EEG and fMRI Analysis During Natural Stimulus. MICCAI (1) (2017)
Dehua Ren, Yu Zhao, Hanbo Chen, Qinglin Dong, Jinglei Lv, Tianming Liu
3-D functional brain network classification using Convolutional Neural Networks. ISBI (2017)
Hanbo Chen, Yu Zhao, Yujie Li, Jinglei Lv, Tianming Liu
Inter-subject fMRI registration based on functional networks. ISBI (2017)
Liting Wang, Xintao Hu, Meng Wang, Jinglei Lv, Junwei Han, Shijie Zhao, Qinglin Dong, Lei Guo, Tianming Liu
Decoding dynamic auditory attention during naturalistic experience. ISBI (2017)
Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu
A novel framework for groupwise registration of fMRI images based on common functional networks. ISBI (2017)
Jinglei Lv, Binbin Lin, Qingyang Li, Wei Zhang, Yu Zhao, Xi Jiang, Lei Guo, Junwei Han, Xintao Hu, Christine Cong Guo, Jieping Ye, Tianming Liu
Task fMRI data analysis based on supervised stochastic coordinate coding. Medical Image Anal. 38 (2017)
Yujie Li, Hanbo Chen, Xi Jiang, Xiang Li, Jinglei Lv, Meng Li, Hanchuan Peng, Joe Z. Tsien, Tianming Liu
Transcriptome Architecture of Adult Mouse Brain Revealed by Sparse Coding of Genome-Wide In Situ Hybridization Images. Neuroinformatics 15 (3) (2017)
Sidi Liu, Jinglei Lv, Yimin Hou, Ting Shoemaker, Qinglin Dong, Kaiming Li, Tianming Liu
What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording. ACM Multimedia (2016)
Xiang Li, Qinglin Dong, Xi Jiang, Jinglei Lv, Tianming Liu
Multple-demand system identification and characterization via sparse representations of fMRI data. ISBI (2016)
Yudan Ren, Xintao Hu, Jinglei Lv, Lei Quo, Junwei Han, Tianming Liu
Identifying autism biomarkers in default mode network using sparse representation of resting-state fMRI data. ISBI (2016)
Cheng Lyu, Xiang Li, Jinglei Lv, Xintao Hu, Junwei Han, Lei Quo, Tianming Liu
Identifying group-wise consistent sub-networks via spatial sparse representation of natural stimulus FMRI data. ISBI (2016)
Shijie Zhao, Junwei Han, Xi Jiang, Xintao Hu, Jinglei Lv, Shu Zhang, Bao Ge, Lei Guo, Tianming Liu
Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation. ICME (2016)
Jinglei Lv, Armin Iraji, Hanbo Chen, Fangfei Ge, Lei Guo, Xin Zhang, Zhifeng Kou, Tianming Liu
Group-wise sparse representation of brain states reveal network abnormalities in mild traumatic brain injury. ISBI (2016)
Yujie Li, Hanbo Chen, Xi Jiang, Xiang Li, Jinglei Lv, Hanchuan Peng, Joe Z. Tsien, Tianming Liu
Discover Mouse Gene Coexpression Landscape Using Dictionary Learning and Sparse Coding. MICCAI (1) (2016)
Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Shu Zhang, Mary Ellen Lynch, Claire Coles, Lei Guo, Xiaoping Hu, Tianming Liu
A Multi-stage Sparse Coding Framework to Explore the Effects of Prenatal Alcohol Exposure. MICCAI (1) (2016)
Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Tianming Liu
Modeling Functional Dynamics of Cortical Gyri and Sulci. MICCAI (1) (2016)
Xiao Li, Tuo Zhang, Tao Liu, Jinglei Lv, Xintao Hu, Lei Guo, Tianming Liu
A data-driven method to study brain structural connectivities via joint analysis of microarray data and dMRI data. ISBI (2016)
Jinglei Lv, Armin Iraji, Fangfei Ge, Shijie Zhao, Xintao Hu, Tuo Zhang, Junwei Han, Lei Guo, Zhifeng Kou, Tianming Liu
Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI. MICCAI (1) (2016)
Qinghua Zhao, Jianfeng Lu, Jinglei Lv, Xi Jiang, Shijie Zhao, Tianming Liu
Exploring Brain Networks via Structured Sparse Representation of fMRI Data. MICCAI (1) (2016)
Heng Huang, Xintao Hu, Junwei Han, Jinglei Lv, Nian Liu, Lei Guo, Tianming Liu
Latent source mining in FMRI data via deep neural network. ISBI (2016)
Xiang Li, Binbin Lin, Jinglei Lv, Jieping Ye, Tianming Liu
Modeling functional network dynamics via multi-scale dictionary learning and network continuums. ISBI (2016)
Fangfei Ge, Jinglei Lv, Xintao Hu, Bao Ge, Lei Guo, Junwei Han, Tianming Liu
Deriving ADHD biomarkers with sparse coding based network analysis. ISBI (2015)
Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Yu Zhao, Bao Ge, Lei Guo, Tianming Liu
Supervised Dictionary Learning for Inferring Concurrent Brain Networks. IEEE Trans. Medical Imaging 34 (10) (2015)
Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu
HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI). Brain Informatics 2 (4) (2015)
Hanbo Chen, Armin Iraji, Xi Jiang, Jinglei Lv, Zhifeng Kou, Tianming Liu
Longitudinal Analysis of Brain Recovery after Mild Traumatic Brain Injury Based on Groupwise Consistent Brain Network Clusters. MICCAI (2) (2015)
Ke Jing, Tuo Zhang, Jianfeng Lu, Hanbo Chen, Xi Jiang, Lei Guo, Longchuan Li, Xiaoping Hu, Jinglei Lv, Bao Ge, Tianming Liu
Multiscale and multimodal fusion of tract-tracing and DTI-derived fibers in macaque brains. ISBI (2015)
Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Shu Zhang, Shijie Zhao, Hanbo Chen, Tuo Zhang, Xintao Hu, Junwei Han, Jieping Ye, Lei Guo, Tianming Liu
Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function. IEEE Trans. Biomed. Eng. 62 (4) (2015)
Xintao Hu, Cheng Lv, Gong Cheng, Jinglei Lv, Lei Guo, Junwei Han, Tianming Liu
Sparsity-Constrained fMRI Decoding of Visual Saliency in Naturalistic Video Streams. IEEE Trans. Auton. Ment. Dev. 7 (2) (2015)
Bao Ge, Jin Wang, Jinglei Lv, Shu Zhang, Shijie Zhao, Wei Zhang, Qinghua Zhao, Xiang Li, Xi Jiang, Junwei Han, Lei Guo, Tianming Liu
Signal sampling for efficient sparse representation of resting state FMRI data. ISBI (2015)
Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Bao Ge, Lei Guo, Tianming Liu
Characterizing and differentiating task-based and resting state FMRI signals via two-stage dictionary learning. ISBI (2015)
Jinglei Lv, Binbin Lin, Wei Zhang, Xi Jiang, Xintao Hu, Junwei Han, Lei Guo, Jieping Ye, Tianming Liu
Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding. MICCAI (1) (2015)
Xi Jiang, Tuo Zhang, Dajiang Zhu, Kaiming Li, Hanbo Chen, Jinglei Lv, Xintao Hu, Junwei Han, Dinggang Shen, Lei Guo, Tianming Liu
Anatomy-Guided Dense Individualized and Common Connectivity-Based Cortical Landmarks (A-DICCCOL). IEEE Trans. Biomed. Eng. 62 (4) (2015)
Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Shu Zhang, Xintao Hu, Junwei Han, Heng Huang, Jing Zhang, Lei Guo, Tianming Liu
Sparse representation of whole-brain fMRI signals for identification of functional networks. Medical Image Anal. 20 (1) (2015)
Dajiang Zhu, Tuo Zhang, Xi Jiang, Xintao Hu, Hanbo Chen, Ning Yang, Jinglei Lv, Junwei Han, Lei Guo, Tianming Liu
Fusing DTI and fMRI data: A survey of methods and applications. NeuroImage 102 (2014)
Dajiang Zhu, Jinglei Lv, Hanbo Chen, Tianming Liu
Group-Wise Optimization of Common Brain Landmarks with Joint Structural and Functional Regulations. MICCAI (2) (2014)
Zhichao Lian, Xiang Li, Thomas Young, Yun Hao, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Tianming Liu, Jing Zhang
Dynamic network partition via Bayesian connectivity bi-partition change point model. ISBI (2014)
Zhichao Lian, Xiang Li, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Shu Zhang, Jiansong Xu, Marc N. Potenza, Tianming Liu, Jing Zhang
Exploring functional brain dynamics via a Bayesian connectivity change point model. ISBI (2014)
Jinglei Lv, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Junwei Han, Tianming Liu
Group-Wise FMRI Activation Detection on DICCCOL Landmarks. Neuroinformatics 12 (4) (2014)
Zhichao Lian, Jinglei Lv, Jianchuan Xing, Xiang Li, Xi Jiang, Dajiang Zhu, Jiansong Xu, Marc N. Potenza, Tianming Liu, Jing Zhang
Generalized fMRI activation detection via Bayesian magnitude change point model. ISBI (2014)
Jinglei Lv, Tuo Zhang, Xintao Hu, Dajiang Zhu, Kaiming Li, Lei Guo, Tianming Liu
Group-wise connection activation detection based on DICCCOL. ISBI (2014)
Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang, Xintao Hu, Lei Guo, Tianming Liu
Integrating group-wise functional brain activities via point processes. ISBI (2014)
Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang, Xiang Li, Xintao Hu, Lei Guo, Tianming Liu
Discovering network-level functional interactions from working memory fMRI data. ISBI (2014)
Shijie Zhao, Xi Jiang, Junwei Han, Xintao Hu, Dajiang Zhu, Jinglei Lv, Tuo Zhang, Lei Guo, Tianming Liu
Decoding Auditory Saliency from FMRI Brain Imaging. ACM Multimedia (2014)
Shu Zhang, Xintao Hu, Jinglei Lv, Tuo Zhang, Xiang Li, Xi Jiang, Lei Guo, Tianming Liu
Learning fMRI-guided predictor of video shot changes. ISBI (2014)
Fan Deng, Dajiang Zhu, Jinglei Lv, Lei Guo, Tianming Liu
FMRI Signal Analysis Using Empirical Mean Curve Decomposition. IEEE Trans. Biomed. Eng. 60 (1) (2013)
Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Xin Zhang, Xintao Hu, Tuo Zhang, Lei Guo, Tianming Liu
Sparse Representation of Group-Wise FMRI Signals. MICCAI (3) (2013)
Xin Zhang, Lei Guo, Xiang Li, Tuo Zhang, Dajiang Zhu, Kaiming Li, Hanbo Chen, Jinglei Lv, Changfeng Jin, Qun Zhao, Lingjiang Li, Tianming Liu
Characterization of task-free and task-performance brain states via functional connectome patterns. Medical Image Anal. 17 (8) (2013)
Xi Jiang, Tuo Zhang, Dajiang Zhu, Kaiming Li, Jinglei Lv, Lei Guo, Tianming Liu
Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks. MICCAI (3) (2013)
Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Lei Guo, Tianming Liu
Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data. MICCAI (3) (2013)
Shu Zhang, Jinglei Lv, Xiang Li, Xi Jiang, Lei Guo, Tianming Liu
Activated cliques: Network-based activation detection in task-based FMRI. ISBI (2013)
Jinglei Lv, Dajiang Zhu, Xi Jiang, Kaiming Li, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu
Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection. MBIA (2013)
Jinglei Lv, Dajiang Zhu, Xintao Hu, Xin Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu
Group-Wise FMRI Activation Detection on Corresponding Cortical Landmarks. MICCAI (2) (2013)
Kaiming Li, Lei Guo, Carlos Faraco, Dajiang Zhu, Hanbo Chen, Yixuan Yuan, Jinglei Lv, Fan Deng, Xi Jiang, Tuo Zhang, Xintao Hu, Degang Zhang, L. Stephen Miller, Tianming Liu
Visual analytics of brain networks. NeuroImage 61 (1) (2012)
Bao Ge, Lei Guo, Jinglei Lv, Xintao Hu, Junwei Han, Tuo Zhang, Tianming Liu
Resting State fMRI-Guided Fiber Clustering. MICCAI (2) (2011)
Degang Zhang, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Kaiming Li, Xi Jiang, Hanbo Chen, Jinglei Lv, Fan Deng, Qun Zhao
Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures. MBIA (2011)
Jinglei Lv, Lei Guo, Kaiming Li, Xintao Hu, Dajiang Zhu, Junwei Han, Tianming Liu
Activated Fibers: Fiber-Centered Activation Detection in Task-Based FMRI. IPMI (2011)
Xintao Hu, Lei Guo, Degang Zhang, Kaiming Li, Tuo Zhang, Jinglei Lv, Junwei Han, Tianming Liu
Assessing the dynamics on functional brain networks using spectral graphy theory. ISBI (2011)
Jinglei Lv, Lei Guo, Xintao Hu, Tuo Zhang, Kaiming Li, Degang Zhang, Jianfei Yang, Tianming Liu
Fiber-Centered Analysis of Brain Connectivities Using DTI and Resting State FMRI Data. MICCAI (2) (2010)
Xintao Hu, Fan Deng, Kaiming Li, Tuo Zhang, Hanbo Chen, Xi Jiang, Jinglei Lv, Dajiang Zhu, Carlos Faraco, Degang Zhang, Arsham Mesbah, Junwei Han, Xian-Sheng Hua, Li Xie, L. Stephen Miller, Lei Guo, Tianming Liu
Bridging low-level features and high-level semantics via fMRI brain imaging for video classification. ACM Multimedia (2010)