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Kai Yang, Ph.D.

Concepts

This page shows the publications Kai Yang has written about Equipment Design.
Connection Strength

0.186
  1. Noise power properties of a cone-beam CT system for breast cancer detection. Med Phys. 2008 Dec; 35(12):5317-27.
    View in: PubMed
    Score: 0.050
  2. Comparison of computed tomography shielding design methods using RadShield. J Radiol Prot. 2017 Jun 26; 37(2):492-505.
    View in: PubMed
    Score: 0.022
  3. Noise Power Characteristics of a Micro-Computed Tomography System. J Comput Assist Tomogr. 2017 Jan; 41(1):82-89.
    View in: PubMed
    Score: 0.022
  4. Evolution of spatial resolution in breast CT at UC Davis. Med Phys. 2015 Apr; 42(4):1973-81.
    View in: PubMed
    Score: 0.019
  5. A semiempirical linear model of indirect, flat-panel x-ray detectors. Med Phys. 2012 Apr; 39(4):2108-18.
    View in: PubMed
    Score: 0.016
  6. Initial characterization of a dedicated breast PET/CT scanner during human imaging. J Nucl Med. 2009 Sep; 50(9):1401-8.
    View in: PubMed
    Score: 0.013
  7. Dedicated breast computed tomography: volume image denoising via a partial-diffusion equation based technique. Med Phys. 2008 May; 35(5):1950-8.
    View in: PubMed
    Score: 0.012
  8. A microPET/CT system for in vivo small animal imaging. Phys Med Biol. 2007 Jul 07; 52(13):3881-94.
    View in: PubMed
    Score: 0.011
  9. Evaluation of the spatial resolution characteristics of a cone-beam breast CT scanner. Med Phys. 2007 Jan; 34(1):275-81.
    View in: PubMed
    Score: 0.011
  10. Computed tomography for imaging the breast. J Mammary Gland Biol Neoplasia. 2006 Apr; 11(2):103-11.
    View in: PubMed
    Score: 0.010
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.