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Xiang Li, Ph.D.

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Overview
Xiang Li is an Instructor at the Department of Radiology, Massachusetts General Hospital and Harvard Medical School. He obtained his PhD degree from the Department of Computer Science at the University of Georgia.

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Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Li X, Guo N, Li Q. Functional Neuroimaging in the New Era of Big Data. Genomics Proteomics Bioinformatics. 2019 08; 17(4):393-401. PMID: 31809864.
    Citations:    
  2. Li X, Thrall JH, Digumarthy SR, Kalra MK, Pandharipande PV, Zhang B, Nitiwarangkul C, Singh R, Khera RD, Li Q. Deep learning-enabled system for rapid pneumothorax screening on chest CT. Eur J Radiol. 2019 Nov; 120:108692. PMID: 31585302.
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  3. Wang H, Xie K, Xie L, Li X, Li M, Lyu C, Chen H, Chen Y, Liu X, Tsien J, Liu T. Functional Brain Connectivity Revealed by Sparse Coding of Large-Scale Local Field Potential Dynamics. Brain Topogr. 2019 03; 32(2):255-270. PMID: 30341589.
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  4. Zhang W, Lv J, Li X, Zhu D, Jiang X, Zhang S, Zhao Y, Guo L, Ye J, Hu D, Liu T. Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. IEEE Trans Biomed Eng. 2019 01; 66(1):289-299. PMID: 29993466.
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  5. Ge B, Li X, Jiang X, Sun Y, Liu T. A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data. Front Neuroinform. 2018; 12:17. PMID: 29706880.
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  6. Makkie M, Li X, Quinn S, Lin B, Ye J, Mon G, Liu T. A Distributed Computing Platform for fMRI Big Data Analytics. IEEE Trans Big Data. 2019 Jun; 5(2):109-119. PMID: 31240237.
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  7. Thrall JH, Li X, Li Q, Cruz C, Do S, Dreyer K, Brink J. Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success. J Am Coll Radiol. 2018 03; 15(3 Pt B):504-508. PMID: 29402533.
    Citations: 5     Fields:    Translation:Humans
  8. Yuan J, Li X, Zhang J, Luo L, Dong Q, Lv J, Zhao Y, Jiang X, Zhang S, Zhang W, Liu T. Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. Neuroimage. 2018 10 15; 180(Pt B):350-369. PMID: 29102809.
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  9. Li Y, Chen H, Jiang X, Li X, Lv J, Li M, Peng H, Tsien JZ, Liu T. Transcriptome Architecture of Adult Mouse Brain Revealed by Sparse Coding of Genome-Wide In Situ Hybridization Images. Neuroinformatics. 2017 Jul; 15(3):285-295. PMID: 28608010.
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  10. Li Y, Chen H, Jiang X, Li X, Lv J, Peng H, Tsien JZ, Liu T. Discover mouse gene coexpression landscapes using dictionary learning and sparse coding. Brain Struct Funct. 2017 Dec; 222(9):4253-4270. PMID: 28664394.
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  11. Ge B, Makkie M, Wang J, Zhao S, Jiang X, Li X, Lv J, Zhang S, Zhang W, Han J, Guo L, Liu T. Signal sampling for efficient sparse representation of resting state FMRI data. Brain Imaging Behav. 2016 12; 10(4):1206-1222. PMID: 26646924.
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  12. Jiang X, Li X, Lv J, Zhao S, Zhang S, Zhang W, Zhang T, Han J, Guo L, Liu T. Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex. IEEE Trans Biomed Eng. 2018 06; 65(6):1183-1192. PMID: 27608442.
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  13. Zhang S, Li X, Lv J, Jiang X, Guo L, Liu T. Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations. Brain Imaging Behav. 2016 Mar; 10(1):21-32. PMID: 25732072.
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  14. Ou J, Xie L, Li X, Zhu D, Terry DP, Puente AN, Jiang R, Chen Y, Wang L, Shen D, Zhang J, Miller LS, Liu T. Atomic connectomics signatures for characterization and differentiation of mild cognitive impairment. Brain Imaging Behav. 2015 Dec; 9(4):663-77. PMID: 25355371.
    Citations:    Fields:    Translation:Humans
  15. Makkie M, Zhao S, Jiang X, Lv J, Zhao Y, Ge B, Li X, Han J, Liu T. HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI). Brain Inform. 2015 Dec; 2(4):225-238. PMID: 27747565.
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  16. Jiang X, Li X, Lv J, Zhang T, Zhang S, Guo L, Liu T. Sparse representation of HCP grayordinate data reveals novel functional architecture of cerebral cortex. Hum Brain Mapp. 2015 Dec; 36(12):5301-19. PMID: 26466353.
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  17. Lv J, Jiang X, Li X, Zhu D, Zhao S, Zhang T, Hu X, Han J, Guo L, Li Z, Coles C, Hu X, Liu T. Assessing effects of prenatal alcohol exposure using group-wise sparse representation of fMRI data. Psychiatry Res. 2015 Aug 30; 233(2):254-68. PMID: 26195294.
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  18. Lv J, Jiang X, Li X, Zhu D, Zhang S, Zhao S, Chen H, Zhang T, Hu X, Han J, Ye J, Guo L, Liu T. Holistic atlases of functional networks and interactions reveal reciprocal organizational architecture of cortical function. IEEE Trans Biomed Eng. 2015 Apr; 62(4):1120-31. PMID: 25420254.
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  19. Lv J, Jiang X, Li X, Zhu D, Chen H, Zhang T, Zhang S, Hu X, Han J, Huang H, Zhang J, Guo L, Liu T. Sparse representation of whole-brain fMRI signals for identification of functional networks. Med Image Anal. 2015 Feb; 20(1):112-34. PMID: 25476415.
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  20. Ou J, Xie L, Jin C, Li X, Zhu D, Jiang R, Chen Y, Zhang J, Li L, Liu T. Characterizing and Differentiating Brain State Dynamics via Hidden Markov Models. Brain Topogr. 2015 Sep; 28(5):666-679. PMID: 25331991.
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  21. Zhang X, Li X, Jin C, Chen H, Li K, Zhu D, Jiang X, Zhang T, Lv J, Hu X, Han J, Zhao Q, Guo L, Li L, Liu T. Identifying and characterizing resting state networks in temporally dynamic functional connectomes. Brain Topogr. 2014 Nov; 27(6):747-65. PMID: 24903106.
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  22. Ou J, Lian Z, Xie L, Li X, Wang P, Hao Y, Zhu D, Jiang R, Wang Y, Chen Y, Zhang J, Liu T. Atomic dynamic functional interaction patterns for characterization of ADHD. Hum Brain Mapp. 2014 Oct; 35(10):5262-78. PMID: 24861961.
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  23. Zhang J, Li X, Li C, Lian Z, Huang X, Zhong G, Zhu D, Li K, Jin C, Hu X, Han J, Guo L, Hu X, Li L, Liu T. Inferring functional interaction and transition patterns via dynamic Bayesian variable partition models. Hum Brain Mapp. 2014 Jul; 35(7):3314-31. PMID: 24222313.
    Citations:    
  24. Zhang X, Guo L, Li X, Zhang T, Zhu D, Li K, Chen H, Lv J, Jin C, Zhao Q, Li L, Liu T. Characterization of task-free and task-performance brain states via functional connectome patterns. Med Image Anal. 2013 Dec; 17(8):1106-22. PMID: 23938590.
    Citations:    
  25. Li X, Zhu D, Jiang X, Jin C, Zhang X, Guo L, Zhang J, Hu X, Li L, Liu T. Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients. Hum Brain Mapp. 2014 Apr; 35(4):1761-78. PMID: 23671011.
    Citations:    
  26. Li X, Lim C, Li K, Guo L, Liu T. Detecting brain state changes via fiber-centered functional connectivity analysis. Neuroinformatics. 2013 Apr; 11(2):193-210. PMID: 22941508.
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  27. Zhu D, Li X, Jiang X, Chen H, Shen D, Liu T. Exploring high-order functional interactions via structurally-weighted LASSO models. Inf Process Med Imaging. 2013; 23:13-24. PMID: 24683954.
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  28. Lv P, Guo L, Hu X, Li X, Jin C, Han J, Li L, Liu T. Modeling dynamic functional information flows on large-scale brain networks. Med Image Comput Comput Assist Interv. 2013; 16(Pt 2):698-705. PMID: 24579202.
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  29. Zhang S, Li X, Lv J, Jiang X, Zhu D, Chen H, Zhang T, Guo L, Liu T. Sparse representation of higher-order functional interaction patterns in task-based FMRI data. Med Image Comput Comput Assist Interv. 2013; 16(Pt 3):626-34. PMID: 24505814.
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  30. Lv J, Li X, Zhu D, Jiang X, Zhang X, Hu X, Zhang T, Guo L, Liu T. Sparse representation of group-wise FMRI signals. Med Image Comput Comput Assist Interv. 2013; 16(Pt 3):608-16. PMID: 24505812.
    Citations:    
  31. Sun J, Hu X, Huang X, Liu Y, Li K, Li X, Han J, Guo L, Liu T, Zhang J. Inferring consistent functional interaction patterns from natural stimulus FMRI data. Neuroimage. 2012 Jul 16; 61(4):987-99. PMID: 22440644.
    Citations:    
  32. Zhang X, Guo L, Li X, Zhu D, Li K, Sun Z, Jin C, Hu X, Han J, Zhao Q, Li L, Liu T. Characterization of task-free/task-performance brain states. Med Image Comput Comput Assist Interv. 2012; 15(Pt 2):237-45. PMID: 23286054.
    Citations:    
  33. Li X, Li K, Guo L, Lim C, Liu T. Fiber-centered Granger causality analysis. Med Image Comput Comput Assist Interv. 2011; 14(Pt 2):251-9. PMID: 21995036.
    Citations:    
  34. Li XL, Qian L, Bittner ML, Dougherty ER. Characterization of drug efficacy regions based on dosage and frequency schedules. IEEE Trans Biomed Eng. 2011 Mar; 58(3):488-98. PMID: 21095860.
    Citations:    
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.