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Wen Li, PhD

Title(s)Assistant Researcher, Radiology
SchoolSchool of Medicine
ORCID ORCID Icon0000-0001-6584-363X Additional info
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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
    University of California San FranciscoPostdoctoral Training2019Breast Cancer Imaging
    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
    ISMRM 26th Annual Meeting & Exhibition2018Educational Stipend Award
    Joint Annual Meeting ISMRM-ESMRMB2018Summa Cum Laude Merit Award
    ISMRM 27th Annual Meeting & Exhibition2019Educational Stipend Award
    ISMRM 27th Annual Meeting & Exhibition2019Magna Cum Laude Merit Award

    Collapse Overview 
    Collapse Overview
    Dr. Li is an expert in biomedical imaging analysis. At UCSF, her research is focused on optimizing and integrating quantitative imaging (DCE-MRI, DW-MRI, MammiPET) metrics as biomarkers in predicting treatment response for patients with breast cancer. Dr. Li's research interests include quantitative imaging methodology 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
    Collapse Featured Presentations

    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. Li W, Newitt DC, Wilmes LJ, Jones EF, Arasu V, Gibbs J, La Yun B, Li E, Partridge SC, Kornak J, Esserman LJ, Hylton NM. Additive value of diffusion-weighted MRI in the I-SPY 2 TRIAL. J Magn Reson Imaging. 2019 Dec; 50(6):1742-1753. PMID: 31026118.
      View in: PubMed
    2. Jones EF, Ray KM, Li W, Chien AJ, Mukhtar RA, Esserman LJ, Franc BL, Seo Y, Pampaloni MH, Joe BN, Hylton NM. Initial experience of dedicated breast PET imaging of ER+ breast cancers using [F-18]fluoroestradiol. NPJ Breast Cancer. 2019; 5:12. PMID: 31016232.
      View in: PubMed
    3. Newitt DC, Zhang Z, Gibbs JE, Partridge SC, Chenevert TL, Rosen MA, Bolan PJ, Marques HS, Aliu S, Li W, Cimino L, Joe BN, Umphrey H, Ojeda-Fournier H, Dogan B, Oh K, Abe H, Drukteinis J, Esserman LJ, Hylton NM. Test-retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial. J Magn Reson Imaging. 2019 06; 49(6):1617-1628. PMID: 30350329.
      View in: PubMed
    4. 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
    5. 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
    6. Wilmes LJ, Li W, Shin HJ, Newitt DC, Proctor E, Harnish R, Hylton NM. Diffusion Tensor Imaging for Assessment of Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer. Tomography. 2016 Dec; 2(4):438-447. PMID: 29527574.
      View in: PubMed
    7. 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.
    8. Keenan KE, Peskin AP, Wilmes LJ, Aliu SO, Jones EF, Li W, Kornak J, Newitt DC, Hylton NM. Variability and bias assessment in breast ADC measurement across multiple systems. J Magn Reson Imaging. 2016 10; 44(4):846-55. PMID: 27008431.
      View in: PubMed
    9. 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
    10. 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.
      View in: PubMed
    11. 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