Harvard Catalyst Profiles

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Synho Do, Ph.D.

Concepts

This page shows the publications Synho Do has written about Coronary Angiography.
Connection Strength

0.401
  1. Iterative Image Reconstruction Improves the Accuracy of Automated Plaque Burden Assessment in Coronary CT Angiography: A Comparison With Intravascular Ultrasound. AJR Am J Roentgenol. 2017 Apr; 208(4):777-784.
    View in: PubMed
    Score: 0.072
  2. A novel analysis algorithm for potential quantitative assessment of myocardial computed tomography perfusion. Acad Radiol. 2013 Oct; 20(10):1301-5.
    View in: PubMed
    Score: 0.057
  3. Histogram analysis of lipid-core plaques in coronary computed tomographic angiography: ex vivo validation against histology. Invest Radiol. 2013 Sep; 48(9):646-53.
    View in: PubMed
    Score: 0.057
  4. The effect of iterative image reconstruction algorithms on the feasibility of automated plaque assessment in coronary CT angiography. Int J Cardiovasc Imaging. 2013 Dec; 29(8):1879-88.
    View in: PubMed
    Score: 0.057
  5. How to assess non-calcified plaque in CT angiography: delineation methods affect diagnostic accuracy of low-attenuation plaque by CT for lipid-core plaque in histology. Eur Heart J Cardiovasc Imaging. 2013 Nov; 14(11):1099-105.
    View in: PubMed
    Score: 0.056
  6. Evolution of coronary computed tomography radiation dose reduction at a tertiary referral center. Am J Med. 2012 Aug; 125(8):764-72.
    View in: PubMed
    Score: 0.052
  7. Coronary artery plaques: cardiac CT with model-based and adaptive-statistical iterative reconstruction technique. Eur J Radiol. 2012 Mar; 81(3):e363-9.
    View in: PubMed
    Score: 0.051
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.