Jinglei Lv - RankMe

100 papers A* 3A 1Journal 38Unranked 54

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Data-Driven Method to Map the Functional Organisation of Human Brain White Matter. CoRR Yifei Sun, James M. Shine, Robert D. Sanders, Robin F. H. Cash, Sharon L. Naismith, Fernando Calamante, Jinglei Lv
2026	—	`ed.`	Computational Diffusion MRI - 16th International Workshop, CDMRI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings CDMRI@MICCAI Maxime Chamberland, Yuqian Chen, Patryk Filipiak, Tom Hendriks, Jinglei Lv, S. Shailja, Elinor Thompson
2025	J	`jnl`	Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping. CoRR Yifei Sun, Marshall A. Dalton, Robert D. Sanders, Yixuan Yuan, Xiang Li, Sharon L. Naismith, Fernando Calamante, Jinglei Lv
2025	J	`jnl`	Towards a general-purpose foundation model for fMRI analysis. CoRR Cheng Wang, Yu Jiang, Zhihao Peng, Chenxin Li, Changbae Bang, Lin Zhao, Jinglei Lv, Jorge Sepulcre, Carl Yang, Lifang He, Tianming Liu, Daniel Barron, Quanzheng Li, Randy Hirschtick, Byung-Hoon Kim, Xiang Li, Yixuan Yuan
2025	J	`jnl`	Unveiling complex brain dynamics during movie viewing via deep recurrent autoencoder model. NeuroImage Kexin Wang, Limei Song, Zhaowei Li, Liting Wang, Xiaowei He, Yudan Ren, Jinglei Lv
2025	J	`jnl`	Voxel-Level Brain States Prediction Using Swin Transformer. CoRR Yifei Sun, Daniel Chahine, Qinghao Wen, Tianming Liu, Xiang Li, Yixuan Yuan, Fernando Calamante, Jinglei Lv
2025	J	`jnl`	Voxel-Level Brain States Prediction Using Swin Transformer. IEEE J. Biomed. Health Informatics Yifei Sun, Daniel Chahine, Qinghao Wen, Tianming Liu, Xiang Li, Yixuan Yuan, Fernando Calamante, Jinglei Lv
2024	—	`conf`	Deep Linear Matrix Approximate Reconstruction Reveals Reproducible Large-Scale Functional Connectivity Networks in the Human Brain. MCHM@MM Wei Zhang, Xi Jiang, Shijie Zhao, Ning Qiang, Yu Bao, Jinglei Lv
2024	J	`jnl`	GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals. IEEE Trans. Neural Networks Learn. Syst. Yimin Hou, Shuyue Jia, Xiangmin Lun, Ziqian Hao, Yan Shi, Yang Li, Rui Zeng, Jinglei Lv
2024	—	`conf`	MCHM '24: The 1st International Workshop on Multimedia Computing for Health and Medicine. MCHM@MM Xuequan Lu, Wenxi Yue, Imran Razzak, Kun Hu, Jinglei Lv, Sen Zhang, Junhui Hou, Zhiyong Wang, Jiebo Luo, Wei Xiang
2024	J	`jnl`	MEET: A Multi-Band EEG Transformer for Brain States Decoding. IEEE Trans. Biomed. Eng. Enze Shi, Sigang Yu, Yanqing Kang, Jinru Wu, Lin Zhao, Dajiang Zhu, Jinglei Lv, Tianming Liu, Xintao Hu, Shu Zhang
2024	—	`conf`	Predicting Human Brain States with Transformer. LDTM/MMMI/ML4MHD/ML-CDS@MICCAI Yifei Sun, Mariano Cabezas, Jiah Lee, Chenyu Wang, Wei Zhang, Fernando Calamante, Jinglei Lv
2024	J	`jnl`	Predicting Human Brain States with Transformer. CoRR Yifei Sun, Mariano Cabezas, Jiah Lee, Chenyu Wang, Wei Zhang, Fernando Calamante, Jinglei Lv
2024	—	`ed.`	Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, MCHM 2024, Melbourne VIC, Australia, 28 October 2024 - 1 November 2024 MCHM@MM Xuequan Lu, Wenxi Yue, Imran Razzak, Kun Hu, Jinglei Lv, Sen Zhang, Junhui Hou, Zhiyong Wang, Jiebo Luo, Wei Xiang
2023	J	`jnl`	An explainable deep learning framework for characterizing and interpreting human brain states. Medical Image Anal. Shu Zhang, Junxin Wang, Sigang Yu, Ruoyang Wang, Junwei Han, Shijie Zhao, Tianming Liu, Jinglei Lv
2023	J	`jnl`	Arousal modulates the amygdala-insula reciprocal connectivity during naturalistic emotional movie watching. NeuroImage Liting Wang, Xintao Hu, Yudan Ren, Jinglei Lv, Shijie Zhao, Lei Guo, Tianming Liu, Junwei Han
2023	J	`jnl`	Editorial: Computational modeling methods for naturalistic neuroimaging data. Frontiers Comput. Neurosci. Yudan Ren, Huan Liu, Shu Zhang, Jinglei Lv
2023	J	`jnl`	Hippocampal Neuronal Integrity and Functional Connectivity Within the Default Mode Network in Mild Cognitive Impairment: A Multimodal Investigation. Brain Connect. Marilena M. Demayo, Jinglei Lv, Shantel L. Duffy, Arkiev D'Souza, Loren Mowszowski, Sharon L. Naismith, Fernando Calamante
2023	—	`conf`	Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search. ADMA (3) Qing Li, Haixing Dai, Jinglei Lv, Lin Zhao, Zhengliang Liu, Zihao Wu, Xia Wu, Claire Coles, Xiaoping Hu, Tianming Liu, Dajiang Zhu
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles
2022	J	`jnl`	Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models. NeuroImage Johanna M. M. Bayer, Richard Dinga, Seyed Mostafa Kia, Akhil R. Kottaram, Thomas Wolfers, Jinglei Lv, Andrew Zalesky, Lianne Schmaal, Andre F. Marquand
2022	J	`jnl`	FOD-Net: A deep learning method for fiber orientation distribution angular super resolution. Medical Image Anal. Rui Zeng, Jinglei Lv, He Wang, Luping Zhou, Michael Barnett, Fernando Calamante, Chenyu Wang
2022	J	`jnl`	Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs). Medical Image Anal. 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
2022	—	`ed.`	Multiscale Multimodal Medical Imaging - Third International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings MMMI@MICCAI Xiang Li, Jinglei Lv, Yuankai Huo, Bin Dong, Richard M. Leahy, Quanzheng Li
2022	J	`jnl`	Structural connections between the noradrenergic and cholinergic system shape the dynamics of functional brain networks. NeuroImage Natasha L. Taylor, Adora M. DSouza, Brandon R. Munn, Jinglei Lv, Laszlo Zaborszky, Eli J. Müller, G. Wainstein, Fernando Calamante, James M. Shine
2020	—	`conf`	A Novel fMRI Representation Learning Framework with GAN. MLMI@MICCAI Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li
2020	J	`jnl`	Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition. CoRR Yimin Hou, Shuyue Jia, Shu Zhang, Xiangmin Lun, Yan Shi, Yang Li, Hanrui Yang, Rui Zeng, Jinglei Lv
2020	—	`conf`	Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). MICCAI (7) Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li
2020	—	`conf`	Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks. MLMI@MICCAI 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
2020	J	`jnl`	GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals. CoRR Xiangmin Lun, Shuyue Jia, Yimin Hou, Yan Shi, Yang Li, Hanrui Yang, Shu Zhang, Jinglei Lv
2020	—	`conf`	Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. MLMI@MICCAI Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang
2020	J	`jnl`	Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu
2020	—	`conf`	Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition. MICCAI (7) Qing Li, Wei Zhang, Jinglei Lv, Xia Wu, Tianming Liu
2020	—	`conf`	Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. MICCAI (7) Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li
2020	J	`jnl`	Supervised Brain Network Learning Based on Deep Recurrent Neural Networks. IEEE Access Shijie Zhao, Yan Cui, Linwei Huang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Shu Zhang, Tianming Liu, Jinglei Lv
2019	J	`jnl`	Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. IEEE Trans. Biomed. Eng. Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu
2018	J	`jnl`	Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts. Neuroinformatics Shijie Zhao, Junwei Han, Xi Jiang, Heng Huang, Huan Liu, Jinglei Lv, Lei Guo, Tianming Liu
2018	—	`conf`	Exploring intrinsic networks and their interactions using group wise temporal sparse coding. ISBI Fangfei Ge, Jinglei Lv, Xintao Hu, Lei Guo, Junwei Han, Shijie Zhao, Tianming Liu
2018	—	`conf`	Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding. ISBI Wei Zhang, Jinglei Lv, Shu Zhang, Yu Zhao, Tianming Liu
2018	J	`jnl`	Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. NeuroImage Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu
2018	J	`jnl`	Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex. IEEE Trans. Biomed. Eng. Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu
2017	—	`conf`	3-D functional brain network classification using Convolutional Neural Networks. ISBI Dehua Ren, Yu Zhao, Hanbo Chen, Qinglin Dong, Jinglei Lv, Tianming Liu
2017	—	`conf`	A novel framework for groupwise registration of fMRI images based on common functional networks. ISBI Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu
2017	—	`conf`	Decoding dynamic auditory attention during naturalistic experience. ISBI Liting Wang, Xintao Hu, Meng Wang, Jinglei Lv, Junwei Han, Shijie Zhao, Qinglin Dong, Lei Guo, Tianming Liu
2017	—	`conf`	Inter-subject fMRI registration based on functional networks. ISBI Hanbo Chen, Yu Zhao, Yujie Li, Jinglei Lv, Tianming Liu
2017	—	`conf`	N-way Decomposition: Towards Linking Concurrent EEG and fMRI Analysis During Natural Stimulus. MICCAI (1) Jinglei Lv, Vinh Thai Nguyen, Johan N. van der Meer, Michael Breakspear, Christine Cong Guo
2017	J	`jnl`	Task fMRI data analysis based on supervised stochastic coordinate coding. Medical Image Anal. 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
2017	J	`jnl`	Transcriptome Architecture of Adult Mouse Brain Revealed by Sparse Coding of Genome-Wide In Situ Hybridization Images. Neuroinformatics Yujie Li, Hanbo Chen, Xi Jiang, Xiang Li, Jinglei Lv, Meng Li, Hanchuan Peng, Joe Z. Tsien, Tianming Liu
2016	—	`conf`	A Multi-stage Sparse Coding Framework to Explore the Effects of Prenatal Alcohol Exposure. MICCAI (1) Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Shu Zhang, Mary Ellen Lynch, Claire Coles, Lei Guo, Xiaoping Hu, Tianming Liu
2016	—	`conf`	A data-driven method to study brain structural connectivities via joint analysis of microarray data and dMRI data. ISBI Xiao Li, Tuo Zhang, Tao Liu, Jinglei Lv, Xintao Hu, Lei Guo, Tianming Liu
2016	—	`conf`	Discover Mouse Gene Coexpression Landscape Using Dictionary Learning and Sparse Coding. MICCAI (1) Yujie Li, Hanbo Chen, Xi Jiang, Xiang Li, Jinglei Lv, Hanchuan Peng, Joe Z. Tsien, Tianming Liu
2016	—	`conf`	Exploring Brain Networks via Structured Sparse Representation of fMRI Data. MICCAI (1) Qinghua Zhao, Jianfeng Lu, Jinglei Lv, Xi Jiang, Shijie Zhao, Tianming Liu
2016	A	`conf`	Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation. ICME Shijie Zhao, Junwei Han, Xi Jiang, Xintao Hu, Jinglei Lv, Shu Zhang, Bao Ge, Lei Guo, Tianming Liu
2016	—	`conf`	Group-wise sparse representation of brain states reveal network abnormalities in mild traumatic brain injury. ISBI Jinglei Lv, Armin Iraji, Hanbo Chen, Fangfei Ge, Lei Guo, Xin Zhang, Zhifeng Kou, Tianming Liu
2016	—	`conf`	Identifying autism biomarkers in default mode network using sparse representation of resting-state fMRI data. ISBI Yudan Ren, Xintao Hu, Jinglei Lv, Lei Quo, Junwei Han, Tianming Liu
2016	—	`conf`	Identifying group-wise consistent sub-networks via spatial sparse representation of natural stimulus FMRI data. ISBI Cheng Lyu, Xiang Li, Jinglei Lv, Xintao Hu, Junwei Han, Lei Quo, Tianming Liu
2016	—	`conf`	Latent source mining in FMRI data via deep neural network. ISBI Heng Huang, Xintao Hu, Junwei Han, Jinglei Lv, Nian Liu, Lei Guo, Tianming Liu
2016	—	`conf`	Modeling Functional Dynamics of Cortical Gyri and Sulci. MICCAI (1) Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Tianming Liu
2016	—	`conf`	Modeling functional network dynamics via multi-scale dictionary learning and network continuums. ISBI Xiang Li, Binbin Lin, Jinglei Lv, Jieping Ye, Tianming Liu
2016	—	`conf`	Multple-demand system identification and characterization via sparse representations of fMRI data. ISBI Xiang Li, Qinglin Dong, Xi Jiang, Jinglei Lv, Tianming Liu
2016	—	`conf`	Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI. MICCAI (1) Jinglei Lv, Armin Iraji, Fangfei Ge, Shijie Zhao, Xintao Hu, Tuo Zhang, Junwei Han, Lei Guo, Zhifeng Kou, Tianming Liu
2016	A*	`conf`	What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording. ACM Multimedia Sidi Liu, Jinglei Lv, Yimin Hou, Ting Shoemaker, Qinglin Dong, Kaiming Li, Tianming Liu
2015	J	`jnl`	Anatomy-Guided Dense Individualized and Common Connectivity-Based Cortical Landmarks (A-DICCCOL). IEEE Trans. Biomed. Eng. Xi Jiang, Tuo Zhang, Dajiang Zhu, Kaiming Li, Hanbo Chen, Jinglei Lv, Xintao Hu, Junwei Han, Dinggang Shen, Lei Guo, Tianming Liu
2015	—	`conf`	Characterizing and differentiating task-based and resting state FMRI signals via two-stage dictionary learning. ISBI Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Bao Ge, Lei Guo, Tianming Liu
2015	—	`conf`	Deriving ADHD biomarkers with sparse coding based network analysis. ISBI Fangfei Ge, Jinglei Lv, Xintao Hu, Bao Ge, Lei Guo, Junwei Han, Tianming Liu
2015	J	`jnl`	HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI). Brain Informatics Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu
2015	J	`jnl`	Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function. IEEE Trans. Biomed. Eng. 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
2015	—	`conf`	Longitudinal Analysis of Brain Recovery after Mild Traumatic Brain Injury Based on Groupwise Consistent Brain Network Clusters. MICCAI (2) Hanbo Chen, Armin Iraji, Xi Jiang, Jinglei Lv, Zhifeng Kou, Tianming Liu
2015	—	`conf`	Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding. MICCAI (1) Jinglei Lv, Binbin Lin, Wei Zhang, Xi Jiang, Xintao Hu, Junwei Han, Lei Guo, Jieping Ye, Tianming Liu
2015	—	`conf`	Multiscale and multimodal fusion of tract-tracing and DTI-derived fibers in macaque brains. ISBI Ke Jing, Tuo Zhang, Jianfeng Lu, Hanbo Chen, Xi Jiang, Lei Guo, Longchuan Li, Xiaoping Hu, Jinglei Lv, Bao Ge, Tianming Liu
2015	—	`conf`	Signal sampling for efficient sparse representation of resting state FMRI data. ISBI Bao Ge, Jin Wang, Jinglei Lv, Shu Zhang, Shijie Zhao, Wei Zhang, Qinghua Zhao, Xiang Li, Xi Jiang, Junwei Han, Lei Guo, Tianming Liu
2015	J	`jnl`	Sparse representation of whole-brain fMRI signals for identification of functional networks. Medical Image Anal. 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
2015	J	`jnl`	Sparsity-Constrained fMRI Decoding of Visual Saliency in Naturalistic Video Streams. IEEE Trans. Auton. Ment. Dev. Xintao Hu, Cheng Lv, Gong Cheng, Jinglei Lv, Lei Guo, Junwei Han, Tianming Liu
2015	J	`jnl`	Supervised Dictionary Learning for Inferring Concurrent Brain Networks. IEEE Trans. Medical Imaging Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Yu Zhao, Bao Ge, Lei Guo, Tianming Liu
2014	A*	`conf`	Decoding Auditory Saliency from FMRI Brain Imaging. ACM Multimedia Shijie Zhao, Xi Jiang, Junwei Han, Xintao Hu, Dajiang Zhu, Jinglei Lv, Tuo Zhang, Lei Guo, Tianming Liu
2014	—	`conf`	Discovering network-level functional interactions from working memory fMRI data. ISBI Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang, Xiang Li, Xintao Hu, Lei Guo, Tianming Liu
2014	—	`conf`	Dynamic network partition via Bayesian connectivity bi-partition change point model. ISBI Zhichao Lian, Xiang Li, Thomas Young, Yun Hao, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Tianming Liu, Jing Zhang
2014	—	`conf`	Exploring functional brain dynamics via a Bayesian connectivity change point model. ISBI Zhichao Lian, Xiang Li, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Shu Zhang, Jiansong Xu, Marc N. Potenza, Tianming Liu, Jing Zhang
2014	J	`jnl`	Fusing DTI and fMRI data: A survey of methods and applications. NeuroImage Dajiang Zhu, Tuo Zhang, Xi Jiang, Xintao Hu, Hanbo Chen, Ning Yang, Jinglei Lv, Junwei Han, Lei Guo, Tianming Liu
2014	—	`conf`	Generalized fMRI activation detection via Bayesian magnitude change point model. ISBI Zhichao Lian, Jinglei Lv, Jianchuan Xing, Xiang Li, Xi Jiang, Dajiang Zhu, Jiansong Xu, Marc N. Potenza, Tianming Liu, Jing Zhang
2014	J	`jnl`	Group-Wise FMRI Activation Detection on DICCCOL Landmarks. Neuroinformatics Jinglei Lv, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Junwei Han, Tianming Liu
2014	—	`conf`	Group-Wise Optimization of Common Brain Landmarks with Joint Structural and Functional Regulations. MICCAI (2) Dajiang Zhu, Jinglei Lv, Hanbo Chen, Tianming Liu
2014	—	`conf`	Group-wise connection activation detection based on DICCCOL. ISBI Jinglei Lv, Tuo Zhang, Xintao Hu, Dajiang Zhu, Kaiming Li, Lei Guo, Tianming Liu
2014	—	`conf`	Integrating group-wise functional brain activities via point processes. ISBI Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang, Xintao Hu, Lei Guo, Tianming Liu
2014	—	`conf`	Learning fMRI-guided predictor of video shot changes. ISBI Shu Zhang, Xintao Hu, Jinglei Lv, Tuo Zhang, Xiang Li, Xi Jiang, Lei Guo, Tianming Liu
2013	—	`conf`	Activated cliques: Network-based activation detection in task-based FMRI. ISBI Shu Zhang, Jinglei Lv, Xiang Li, Xi Jiang, Lei Guo, Tianming Liu
2013	—	`conf`	Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks. MICCAI (3) Xi Jiang, Tuo Zhang, Dajiang Zhu, Kaiming Li, Jinglei Lv, Lei Guo, Tianming Liu
2013	J	`jnl`	Characterization of task-free and task-performance brain states via functional connectome patterns. Medical Image Anal. Xin Zhang, Lei Guo, Xiang Li, Tuo Zhang, Dajiang Zhu, Kaiming Li, Hanbo Chen, Jinglei Lv, Changfeng Jin, Qun Zhao, Lingjiang Li, Tianming Liu
2013	J	`jnl`	FMRI Signal Analysis Using Empirical Mean Curve Decomposition. IEEE Trans. Biomed. Eng. Fan Deng, Dajiang Zhu, Jinglei Lv, Lei Guo, Tianming Liu
2013	—	`conf`	Group-Wise FMRI Activation Detection on Corresponding Cortical Landmarks. MICCAI (2) Jinglei Lv, Dajiang Zhu, Xintao Hu, Xin Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu
2013	—	`conf`	Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection. MBIA Jinglei Lv, Dajiang Zhu, Xi Jiang, Kaiming Li, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu
2013	—	`conf`	Sparse Representation of Group-Wise FMRI Signals. MICCAI (3) Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Xin Zhang, Xintao Hu, Tuo Zhang, Lei Guo, Tianming Liu
2013	—	`conf`	Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data. MICCAI (3) Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Lei Guo, Tianming Liu
2012	J	`jnl`	Visual analytics of brain networks. NeuroImage 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
2011	—	`conf`	Activated Fibers: Fiber-Centered Activation Detection in Task-Based FMRI. IPMI Jinglei Lv, Lei Guo, Kaiming Li, Xintao Hu, Dajiang Zhu, Junwei Han, Tianming Liu
2011	—	`conf`	Assessing the dynamics on functional brain networks using spectral graphy theory. ISBI Xintao Hu, Lei Guo, Degang Zhang, Kaiming Li, Tuo Zhang, Jinglei Lv, Junwei Han, Tianming Liu
2011	—	`conf`	Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures. MBIA Degang Zhang, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Kaiming Li, Xi Jiang, Hanbo Chen, Jinglei Lv, Fan Deng, Qun Zhao
2011	—	`conf`	Resting State fMRI-Guided Fiber Clustering. MICCAI (2) Bao Ge, Lei Guo, Jinglei Lv, Xintao Hu, Junwei Han, Tuo Zhang, Tianming Liu
2010	A*	`conf`	Bridging low-level features and high-level semantics via fMRI brain imaging for video classification. ACM Multimedia 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
2010	—	`conf`	Fiber-Centered Analysis of Brain Connectivities Using DTI and Resting State FMRI Data. MICCAI (2) Jinglei Lv, Lei Guo, Xintao Hu, Tuo Zhang, Kaiming Li, Degang Zhang, Jianfei Yang, Tianming Liu