Wen Li, PhD

TitlePostdoctoral Scholar
InstitutionUniversity of California San Francisco
Address2200 Post Street
San Francisco CA 94115
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    Collapse Biography 
    Collapse Education and Training
    Shanghai Jiao Tong UniversityB.S.2001Biomedical Engineering
    Shanghai Jiao Tong UniversityM.S.2004Biomedical Engineering
    University of IowaPh.D.2012Biomedical Engineering
    Children's National Medical CenterPostdoctoral Training2013Sheikh Zayed Institute for Pediatric Surgical Innovation
    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
    ISMRM 24th Annual Meeting & Exhibition2016Educational Stipend Award
    San Antonio Breast Cancer Symposium2016Clinical Scholar 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 In The News
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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.
    List All   |   Timeline
    1. Jones EF, Ray KM, Li W, Seo Y, Franc BL, Chien AJ, Esserman LJ, Pampaloni MH, Joe BN, Hylton NM. Dedicated Breast Positron Emission Tomography for the Evaluation of Early Response to Neoadjuvant Chemotherapy in Breast Cancer. Clin Breast Cancer. 2017 06; 17(3):e155-e159. PMID: 28110902.
      View in: PubMed
    2. Lisa J. Wilmes, Wen Li, Hee Jung Shin, David C. Newitt, Evelyn Proctor, Roy Harnish, Nola M. Hylton.Diffusion Tensor Imaging for Assessment of Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer. Tomography. 2016; 2(4):438-447.
    3. Li W, Arasu V, Newitt DC, Jones EF, Wilmes L, Gibbs J, Kornak J, Joe BN, Esserman LJ, Hylton NM. Effect of MR Imaging Contrast Thresholds on Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes: A Subgroup Analysis of the ACRIN 6657/I-SPY 1 TRIAL. Tomography. 2016 Dec; 2(4):378-387. PMID: 28066808.
      View in: PubMed
    4. George Zaki, William Plishker, Wen Li, Junghoon Lee, Harry Quon, John Wong, Raj Shekhar.The Utility of Cloud Computing in Analyzing GPU-Accelerated Deformable Image Registration of CT and CBCT Images in Head and Neck Cancer Radiation Therapy. IEEE Journal of Translational Engineering in Health and Medicine. 2016; 4:1-11.
    5. Kathryn E Keenan, Adele P Peskin, Lisa J Wilmes, Sheye O Aliu, Ella F Jones, Wen Li, John Kornak, David C Newitt, Nola M Hylton.Variability and bias assessment in breast ADC measurement across multiple systems. Journal of Magnetic Resonance Imaging. 2016; 44(4):846-855.
    6. 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; PMCID: PMC4757528.
    7. Wen Li, Nancy C Andreasen, Peg Nopoulos, Vincent A Magnotta.Automated parcellation of the brain surface generated from magnetic resonance images. Frontiers in neuroinformatics. 2013; 7:1-11.
    8. Magnotta VA, Li W, Grosland NM. Comparison of Displacement-Based and Force-Based Mapped Meshing. Midas J. 2008 Aug 14; 2008:629. PMID: 21552387.
      View in: PubMed