Harvard Catalyst Profiles

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Synho Do, Ph.D.

Concepts

This page shows the publications Synho Do has written about Artificial Intelligence.
Connection Strength

0.644
  1. Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability. Skeletal Radiol. 2019 Feb; 48(2):275-283.
    View in: PubMed
    Score: 0.376
  2. Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success. J Am Coll Radiol. 2018 03; 15(3 Pt B):504-508.
    View in: PubMed
    Score: 0.091
  3. Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis. J Digit Imaging. 2017 Aug; 30(4):487-498.
    View in: PubMed
    Score: 0.088
  4. 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: 0.041
  5. 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: 0.037
  6. 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: 0.011
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.