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    Wen Li, PhD

    TitlePostdoctoral Scholar
    SchoolUCSF School of Medicine
    DepartmentRadiology
    Address2200 Post Street
    San Francisco CA 94115
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      Collapse Biography 
      Collapse Education and Training
      Shanghai Jiao Tong UniversityB.S.Biomedical Engineering2001
      Shanghai Jiao Tong UniversityM.S.Biomedical Engineering2004
      University of IowaPh.D.Biomedical Engineering2012
      Children's National Medical CenterPostdoctoral TrainingSheikh Zayed Institute for Pediatric Surgical Innovation2013
      Collapse Awards and Honors
      Shanghai Jiao Tong University1997 - 2001Excellent Academic Scholarship
      University of Shanghai for Science and Technology2005 - 2006Young Scholar Research Award
      Shanghai Municipal Education Commission2006 - 2007Young Investigator Research Award
      University of Shanghai for Science and Technology2007Outstanding Young Scholar
      Image Processing Winter School at the University of Sao Paulo, Brazil2010Travel Award
      ISMRM 23rd Annual Meeting & Exhibition2015Educational Stipend Award

      Collapse Overview 
      Collapse Overview
      Dr. Li is an expert in biomedical imaging analysis. At UCSF, her research is focused on improving MRI as a biomarker in breast cancer by optimizing the tumor volume calculation to better predict treatment response. Dr. Li's research interests include advanced imaging technology in cancer, tumor heterogeneity in biomedical images, prediction model for treatment response in systematic chemotherapy, machine learning in medicine, etc.


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      Collapse Bibliographic 
      Collapse Publications
      Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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      1. Keenan KE, Peskin AP, Wilmes LJ, Aliu SO, Jones EF, Li W, Kornak J, Newitt DC, Hylton NM, et al. Variability and bias assessment in breast ADC measurement across multiple systems. J Magn Reson Imaging. 2016 Mar 23. PMID: 27008431.
        View in: PubMed
      2. Lo WC, Li W, Jones EF, Newitt DC, Kornak J, Wilmes LJ, Esserman LJ, Hylton NM. Effect of Imaging Parameter Thresholds on MRI Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes. PLoS One. 2016; 11(2):e0142047. PMID: 26886725.
        View in: PubMed
      3. Li W, Andreasen NC, Nopoulos P, Magnotta VA. Automated parcellation of the brain surface generated from magnetic resonance images. Front Neuroinform. 2013; 7:23. PMID: 24155718; PMCID: PMC3804771.
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