Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Matthew Li and Jo-Anne Shepard.
Matthew Li
Connection Strength
0.455
Jo-Anne Shepard
  1. Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs. Acad Radiol. 2021 04; 28(4):572-576.
    View in: PubMed
    Score: 0.231
  2. Detection of Unsuspected Coronavirus Disease 2019 Cases by Computed Tomography and Retrospective Implementation of the Radiological Society of North America/Society of Thoracic Radiology/American College of Radiology Consensus Guidelines. J Thorac Imaging. 2020 Nov 01; 35(6):346-353.
    View in: PubMed
    Score: 0.057
  3. Implementation of the Radiological Society of North America Expert Consensus Guidelines on Reporting Chest CT Findings Related to COVID-19: A Multireader Performance Study. Radiol Cardiothorac Imaging. 2020 Oct; 2(5):e200276.
    View in: PubMed
    Score: 0.056
  4. Pulmonary Vascular Manifestations of COVID-19 Pneumonia. Radiol Cardiothorac Imaging. 2020 Jun; 2(3):e200277.
    View in: PubMed
    Score: 0.055
  5. Hypoxaemia related to COVID-19: vascular and perfusion abnormalities on dual-energy CT. Lancet Infect Dis. 2020 12; 20(12):1365-1366.
    View in: PubMed
    Score: 0.055
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.