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Daniel Rubin

Academic Appointments

  • Assistant Professor of Radiology (General Radiology) and of Medicine (Biomedical Informatics Research)

Key Documents

Contact Information

  • Clinical Offices
    Department of Radiology 300 Pasteur Dr MC 5105 Stanford, CA 94305
    Tel Work (650) 723-6855
  • Academic Offices
    Alternate Contact
    Amanda Remillard Administrative Associate Tel Work 650-736-6923
    Not for medical emergencies or patient use


Clinical Focus

  • Diagnostic Radiology
  • Radiology
  • Imaging informatics
  • Biomedical informatics
  • Quantitative Imaging

Academic Appointments

Honors and Awards

  • caBIG Connecting Collaborators Award, National Cancer Institute (2010)
  • Certificate of Merit, Radiological Society of North America (2009)
  • Cum Laude Award, Radiological Society of North America (2008)
  • Cum Laude Award, Radiological Society of North America (2006)

Professional Education

Residency: Stanford University Hospital (1991)
Residency: Stanford University School of Medicine CA (1990)
Internship: Stanford University School of Medicine CA (1986)
Medical Education: Stanford University School of Medicine CA (1985)
Board Certification: Diagnostic Radiology, American Board of Radiology (1990)

Research & Scholarship

Current Research and Scholarly Interests

My research interest is imaging informatics--ways computers can work with images to leverage their rich information content and to help physicians use images to guide personalized care. Just as biology has been revolutionized by online genetic data, now clinical medicine can be transformed by mining huge image repositories and electronically correlating image data with pathology and molecular data. Work in our lab thus lies at the intersection of biomedical informatics and imaging science, and we are working in several major areas. We are developing methods to extract information and meaning from images for data mining. We are also developing statistical natural language processing methods to extract and summarize information in radiology reports and published articles. We are building resources to integrate images with related clinical and molecular data to discover novel image biomarkers of disease. Finally, we are translating these methods into practice by creating decision support applications that relate radiology findings to diagnoses and that will improve diagnostic accuracy and clinical effectiveness.




Prior Year Coursescourses of Daniel Rubin

Graduate and Fellowship Program Affiliations

  • Biomedical Informatics (Phd Program)



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Publication Topics

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