Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease
Mo Zhang*, Xiang Li*, Mengjia Xu*, Quanzheng Li. *Joint first authors. IEEE Journal of Biomedical and Health Informatics, 2020. pdf
Sparse Representation-Based Denoising for High-Resolution Brain Activation and Functional Connectivity Modeling: A Task fMRI Study
Seongah Jeong*, Xiang Li*, Jiarui Yang, Quanzheng Li, Vahid Tarokh. *Joint first authors. IEEE Access, 2020. pdf
Deep Learning-Based Image Segmentation on Multimodal Medical Imaging
Zhe Guo*, Xiang Li*, Heng Huang, Ning Guo, Quanzheng Li. *Joint first authors. IEEE Transactions on Radiation and Plasma Medical Sciences, 2019. pdf
Functional Brain Connectivity Revealed by Sparse Coding of Large-Scale Local Field Potential Dynamics
Han Wang, Kun Xie, Li Xie, Xiang Li, Meng Li, Cheng Lyu, Hanbo Chen, Yaowu Chen, Xuesong Liu, Joe Tsien, Tianming Liu. Brain Topography, 2018. pdf
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data
Wei Zhang, Jinglei Lv, Xiang Li , Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu. IEEE Transactions on Biomedical Engineering, 2018. pdf
A Distributed Computing Platform for fMRI Big Data Analytics
Milad Makkie*, Xiang Li*, Shannon Quinn, Binbin Lin, Jieping Ye, Geoffrey Mon, Tianming Liu. *Joint first authors. IEEE Transactions on Big Data, 2018. pdf
Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success
James H Thrall, Xiang Li, Quanzheng Li, Cinthia Cruz, Synho Do, Keith Dreyer, James Brink. Journal of the American College of Radiology, 2018. pdf
Network Modeling and Pathway Inference from Incomplete Data (" PathInf")
Xiang Li, Qitian Chen, Xing Wang, Ning Guo, Nan Wu, Quanzheng Li.
preprint at arXiv.
Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs
Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu. Neuroimage, 2017. pdf
Learning the Sparse and Low Rank PARAFAC Decomposition via the Elastic Net
Songting Shi, Xiang Li, Arkadiusz Sitek, Quanzheng Li.
preprint at arXiv.
A Dictionary Learning Approach for Signal Sampling in Task-based fMRI for Reduction of Big Data
Bao Ge, Xiang Li, Xi Jiang, Yifei Sun, Tianming Liu. Frontiers in Neuroinformatics, 2018. pdf
Discover Mouse Gene Co-expression Landscapes Using Dictionary Learning and Sparse Coding
Yujie Li, Hanbo Chen, Xi Jiang, Xiang Li, Jinglei Lv, Hanchuan Peng, Joe Z. Tsien, Tianming Liu. Brain Structure and Function, 2017. pdf
Transcriptome architecture of adult mouse brain revealed by sparse coding of genome-wide in situ hybridization images
Yujie Li, Hanbo Chen, Xi Jiang, Xiang Li, Jinglei Lv, Meng Li, Hanchuan Peng, Joe Z. Tsien, Tianming Liu. Neuroinformatics, 2017. pdf
Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex
Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu. IEEE Transactions on Biomedical Engineering, 2016. pdf
Signal Sampling for Efficient Sparse Representation of Resting State FMRI Data
Bao Ge, Milad Makkie, Jin Wang, Junwei Han, Shijie Zhao, Xi Jiang, Xiang Li, Jinglei Lv, Shu Zhang, Lei Guo, Tianming Liu. Brain Imaging and Behavior, 2015. pdf
HAFNI-Enabled Largescale Platform for Neuroimaging Informatics (HELPNI)
Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu. Brain Informatics, 2015. pdf
Sparse Representation of HCP Grayordinate Data Reveals Novel Functional Architecture of Cerebral Cortex
Xi Jiang, Xiang Li, Jinglei Lv, Tuo Zhang, Shu Zhang, Lei Guo, Tianming Liu. Human Brain Mapping, 2015. pdf
Assessing Effects of Prenatal Alcohol Exposure Using Group-wise Sparse Representation of FMRI Data
Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Shijie Zhao, Tuo Zhang, Xintao Hu, Junwei Han, Lei Guo, Zhihao Li, Claire Coles, Xiaoping Hu*, Tianming Liu*. *Joint correspondence authors. Psychiatry Research: Neuroimaging, 2015. pdf
Characterizing and Differentiating Task-based and Resting State FMRI Signals via Two-stage Sparse Representations
Shu Zhang*, Xiang Li*, Jinglei Lv, Xi Jiang, Lei Guo, Tianming Liu. *Joint first authors. Brain Imaging and Behavior, 2015. pdf
Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function
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. *Joint first authors. IEEE Transactions on Biomedical Engineering, 2014. pdf
The timing and directional connectivity of human frontoparietal and ventral visual attention networks in emotional scene perception
Dean Sabatinelli, David Frank, Timothy Wanger, Mukeshwar Dhamala, Bhim Mani Adhikari, Xiang Li. Neuroscience, 2014. pdf
Sparse Representation of Whole-brain FMRI Signals for Identification of Functional Networks
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. *Joint first authors. Medical Image Analysis, 2014. pdf
Atomic Connectomics Signatures for Characterization and Differentiation of Mild Cognitive Impairment
Jinli Ou, Li Xie, Xiang Li, Dajiang Zhu, Douglas P. Terry, A. Nicholas Puente, Rongxin Jiang, Yaowu Chen, Lihong Wang, Dinggang Shen, Jing Zhang, L. Stephen Miller, Tianming Liu. Brain Imaging and Behavior, 2014. pdf
Characterizing and Differentiating Brain State Dynamics via Hidden Markov Models
Jinli Ou, Li Xie, Changfeng Jin, Xiang Li, Dajiang Zhu, Rongxin Jiang, Yaowu Chen, Jing Zhang, Lingjiang Li, Tianming Liu. Brain Topography, 2014. pdf
Atomic Dynamic Functional Interaction Patterns for Characterization of ADHD
Jinli Ou, Zhichao Lian, Li Xie, Xiang Li, Peng Wang, Yun Hao, Dajiang Zhu, Rongxin Jiang, Yufeng Wang, Yaowu Chen, Jing Zhang, Tianming Liu. Human Brain Mapping, 2014. pdf
Identifying and Characterizing Resting State Networks in Temporally Dynamic Functional Connectomes
Xin Zhang*, Xiang Li*, Changfeng Jin, Hanbo Chen, Kaiming Li, Dajiang Zhu, Xi Jiang, Tuo Zhang, Jinglei Lv, Xintao Hu, Junwei Han, Qun Zhao, Lei Guo, Lingjiang Li, Tianming Liu. *Joint first authors. Brain Topography, 2014. pdf
Inferring Functional Interaction and Transition Patterns via Dynamic Bayesian Variable Partition Models
Jing Zhang*, Xiang Li, Cong Li, Zhichao Lian, Xiu Huang, Guocheng Zhong, Dajiang Zhu, Kaiming Li, Changfeng Jin, Xintao Hu, Junwei Han, Lei Guo, Xiaoping Hu, Lingjiang Li, Tianming Liu*. *Joint corresponding authors. Human Brain Mapping, 2014. pdf
Characterization of Task-free and Task-performance Brain States via Functional Connectome Patterns
Xin Zhang, Lei Guo, Xiang Li, Tuo Zhang, Dajiang Zhu, Kaiming Li, Hanbo Chen, Jinglei Lv, Changfeng Jin, Qun Zhao, Lingjiang Li, Tianming Liu. Medical Image Analysis, 2013. pdf
Dynamic Functional Connectomics Signatures for Characterization and Differentiation of PTSD Patients
Xiang Li, Dajiang Zhu, Xi Jiang, Changfeng Jin, Xin Zhang, Lei Guo, Jing Zhang, Xiaoping Hu, Jingjiang Li, Tianming Liu. Human Brain Mapping, 2013. pdf
Detecting Brain State Changes via Fiber-Centered Functional Connectivity Analysis
Xiang Li*, Chulwoo Lim*, Kaiming Li, Lei Guo, Tianming Liu, *Joint first authors. Neuroinformatics, 2013. pdf
Inferring Consistent Functional Interaction Patterns from Natural Stimulus FMRI Data
Jiehuan Sun, Xintao Hu, Xiu Huang, Yang Liu, Kaiming Li, Xiang Li, Junwei Han, Lei Guo, Tianming Liu, Jing Zhang. NeuroImage, 2012. pdf
Conference presentations:
ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning
Mo Zhang*, Jie Zhao*, Xiang Li*, Li Zhang, Quanzheng Li. *Joint first authors.
Accepted by ISBI 2020.
preprint at arXiv.
3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification
Han Bao, Hui Ren, Zhiling Zhou, Xiang Li, Ning Guo, Quanzheng Li
Accepted by ISBI 2019. pdf
RBC Semantic Segmentation For Sickle Cell Disease Based on Deformable U-Net
Mo Zhang*, Xiang Li*, Mengjia Xu*, Quanzheng Li. *Joint first authors.
Accepted by MICCAI 2018.
preprint at arXiv.
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)
Yu Zhao*, Xiang Li*, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu. *Joint first authors.
Accepted by MICCAI 2018.
preprint at arXiv.
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes
Zhe Guo*, Xiang Li*, Heng Huang, Ning Guo, Quanzheng Li. *Joint first authors.
Accepted by ISBI 2018.
preprint at arXiv.
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis
Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li.
Accepted by MLMI 2017.
preprint at arXiv.
Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis
Seongah Jeongy, Xiang Liz, Jiarui Yangz, Quanzheng Liz, Vahid Tarokhy.
Accepted by MLMI 2017.
preprint at arXiv.
Exploring human brain activation via nested sparse coding and functional operators
Shu Zhang, Xiang Li, Lei Guo, Tianming Liu.
Accepted by ISBI 2017.
Template-guided Functional Network Identification via Supervised Dictionary Learning
Yu Zhao, Xiang LI, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu.
Accepted by ISBI 2017.
Modeling Functional Dynamics of Cortical Gyri and Sulci
Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhango, Tianming Liu.
Accepted by MICCAI 2016.
Discover Mouse Gene Coexpression Landscape Using Dictionary Learning and Sparse Coding
Yujie Li, Hanbo Chen, Xi Jiang, Xiang Li, Jinglei Lv, Hanchuan Peng, Joe Tsien, Tianming Liu.
Accepted by MICCAI 2016.
Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis
Xiang Li*, Milad Makkie*, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye**, Tianming Liu**, Shannon Quinn**. *Joint first authors, **Joint corresponding authors.
Accepted by ACM SigKDD 2016.
Modeling Functional Network Dynamics Via Multi-Scale Dictionary Learning and Network Continuums
Xiang Li, Binbin Lin, Jinglei Lv, Jieping Ye, Tianming Liu.
Poster presentation on ISBI 2016, pdf
Multiple-Demand System Identification and Characterization Via Sparse Representations of Fmri Data
Xiang Li, Qinglin Dong, Xi Jiang, Jinglei Lv, Tianming Liu.
Poster presentation on ISBI 2016, pdf
Identifying Group-Wise Consistent Sub-Networks Via Spatial Sparse Representation of Natural Stimulus Fmri Data
Cheng Lyu, Xiang Li, Jinglei Lv, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu.
Poster presentation on ISBI 2016, pdf
Characterizing and Differentiating Task-Based and Resting State FMRI Signals Via Two-Stage Dictionary Learning
Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Lei Guo, Tianming Liu.
Oral presentation (by Shu Zhang) on ISBI 2015. pdf
Interactive Exemplar-based Segmentation Toolkit for Biomedical Image Analysis
Xiang Li, Zhi Zhou, Philipp Keller, Hongkui Zeng, Tianming Liu, Hanchuan Peng.
Poster presentation on ISBI 2015. pdf
Signal Sampling for Efficient Sparse Representation of Resting State fMRI Data
Bao Ge, Jin Wang, Jinglei Lv, Shu Zhang, Shijie Zhao, Qinghua Zhao, Wei Zhang, Xiang Li, Xi Jiang, Junwei Han, Lei Guo, Tianming Liu.
Poster presentation on ISBI 2015. pdf
Exploring functional brain dynamics via a bayesian connectivity change point model
Zhichao Lian*, Xiang Li*, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Shu Zhang, Jiansong Xu, Marc N. Potenza, Tianming Liu**, Jing Zhang**. *Joint first authors, **Joint corresponding authors.
Oral presentation on ISBI 2014. pdf
Dynamic network partition via Bayesian connectivity bi-partition change point model
Zhichao Lian*, Xiang Li*, Thomas Young, Yun Hao, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Tianming Liu**, Jing Zhang**. *Joint first authors, **Joint corresponding authors.
Oral presentation on ISBI 2014. pdf
Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model
Zhichao Lian, Xiang Li, Hongmiao Zhang, Hui Kuang, Kun Xie, Jianchuan Xing, Dajiang Zhu, Joe Z. Tsien**, Tianming Liu**, Jing Zhang**. *Joint first authors, **Joint corresponding authors.
Poster presentation on ISBI 2014. pdf
Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models
Dajiang Zhu, Xiang Li, Xi Jiang, Hanbo Chen, Dinggang Shen, Tianming Liu.
Oral presentation (by Dajiang Zhu) on IPMI 2013. pdf
Modeling Dynamic Functional Information Flows on Large-scale Brain Networks
Peili Lv, Lei Guo, Xintao Hu, Xiang Li, Changfeng Jin, Junwei Han, Lingjiang Li, Tianming Liu.
Poster presentation on MICCAI 2013.
Sparse Representation of Higher-order Functional Interaction Patterns in Task-based FMRI Data
Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Lei Guo, Tianming Liu.
Poster presentation on MICCAI 2013.
Sparse Representation of Group-Wise FMRI Signals
Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Xin Zhang, Lei Guo, Tianming Liu.
Poster presentation on MICCAI 2013.
Discovering Common Functional Connectomics Signatures
Xiang Li, Dajiang Zhu, Xi Jiang, Changfeng Jin, Lei Guo, Lingjiang Li, Tianming Liu.
Oral presentation on ISBI 2013. pdf
Activated Cliques: Network-based Activation Detection in Task-based FMRI
Shu Zhang, Jinglei Lv, Xiang LI, Xi Jiang, Lei Guo, Tianming Liu.
Poster presentation on ISBI 2013. pdf
Characterization of Task-free/Task-performance Brain States
Xin Zhang, Lei Guo, Xiang Li, Dajiang Zhu, Kaiming Li, Zhenqiang Sun, Changfeng Jin, Xintao Hu, Junwei Han, Qun Zhao, Lingjiang Li, Tianming Liu.
Poster presentation on MICCAI 2012. pdf
Fiber-centered Granger Causality Analysis
Xiang Li*, Chuwoo Lim*, Kaiming Li, Lei Guo, Tianming Liu. *Joint first authors.
Poster presentation on MICCAI 2011. pdf
Brain State Change Detection via Fiber-centered Functional Connectivity Analysis.
Chulwoo Lim*, Xiang Li*, Kaiming Li, Lei Guo, Tianming Liu. *Joint first authors.
Oral presentation on ISBI 2011. pdf
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