Harvard Catalyst Profiles

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Synho Do, Ph.D.

Concepts

This page shows the publications Synho Do has written about Phantoms, Imaging.
Connection Strength

0.222
  1. High fidelity system modeling for high quality image reconstruction in clinical CT. PLoS One. 2014; 9(11):e111625.
    View in: PubMed
    Score: 0.082
  2. A decomposition-based CT reconstruction formulation for reducing blooming artifacts. Phys Med Biol. 2011 Nov 21; 56(22):7109-25.
    View in: PubMed
    Score: 0.066
  3. Ultra-low dose abdominal MDCT: using a knowledge-based Iterative Model Reconstruction technique for substantial dose reduction in a prospective clinical study. Eur J Radiol. 2015 Jan; 84(1):2-10.
    View in: PubMed
    Score: 0.020
  4. Preliminary results: prospective clinical study to assess image-based iterative reconstruction for abdominal computed tomography acquired at 2 radiation dose levels. J Comput Assist Tomogr. 2014 Jan-Feb; 38(1):117-22.
    View in: PubMed
    Score: 0.019
  5. Differentiation of cancerous lesions in excised human breast specimens using multiband attenuation profiles from ultrasonic transmission tomography. J Ultrasound Med. 2008 Mar; 27(3):435-51.
    View in: PubMed
    Score: 0.013
  6. Segmentation methodology for automated classification and differentiation of soft tissues in multiband images of high-resolution ultrasonic transmission tomography. IEEE Trans Med Imaging. 2006 Aug; 25(8):1068-78.
    View in: PubMed
    Score: 0.011
  7. Soft tissue differentiation using multiband signatures of high resolution ultrasonic transmission tomography. IEEE Trans Med Imaging. 2005 Mar; 24(3):399-408.
    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.