This page shows the publications Synho Do has written about Artificial Intelligence.
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability. Skeletal Radiol. 2019 Feb; 48(2):275-283.
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.
Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis. J Digit Imaging. 2017 Aug; 30(4):487-498.
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.
Soft tissue differentiation using multiband signatures of high resolution ultrasonic transmission tomography. IEEE Trans Med Imaging. 2005 Mar; 24(3):399-408.
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.
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.