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Tags: radiomics

All Categories (1-4 of 4)

  1. Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards

    23 Nov 2015 | | Contributor(s):: Paul E Kinahan

    Image heterogeneity metrics such as textural features are an active area of research for evaluating clinical outcomes with positron emission tomography (PET) imaging and other modalities. However, the effects of stochastic image acquisition noise on these metrics are poorly understood. We...

  2. Quantitative PET/CT Radiomics

    23 Nov 2015 | | Contributor(s):: Paul E Kinahan

    Presentation at the October 2015 Radiomics meeting by Paul Kinahan, Matt Nyflot, Larry Pierce, Art Chaovalitwongse, Hannah Linden  Paul Kinahan, from U. Washington, discussed the need for improvements in standards, tools, and best practices. Because big data/small N analyses...

  3. Anant Madabhushi

    Dr. Anant Madabhushi is the Director of the Center for Computational Imaging and Personalized Diagnostics (CCIPD) and a Professor in the Departments of Biomedical Engineering, Pathology, Radiology,...

    https://ncihub.org/members/2676

  4. Daniel Rubin

    Dr. Rubin is a tenured Professor of Biomedical Data Science, Radiology, and Medicine (Biomedical Informatics Research) at Stanford University and Director of Biomedical Informatics for the Stanford...

    https://ncihub.org/members/1511