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Connection

Maryellen Giger to Radiology

This is a "connection" page, showing publications Maryellen Giger has written about Radiology.
Connection Strength

1.909
  1. Report from the RSNA COVID-19 Task Force: COVID-19 Impact on Academic Radiology Research-A Survey of Vice Chairs of Research. J Am Coll Radiol. 2022 02; 19(2 Pt A):304-309.
    View in: PubMed
    Score: 0.602
  2. Machine Learning in Medical Imaging. J Am Coll Radiol. 2018 03; 15(3 Pt B):512-520.
    View in: PubMed
    Score: 0.461
  3. Research imaging in an academic medical center. Acad Radiol. 2012 Jun; 19(6):762-71.
    View in: PubMed
    Score: 0.308
  4. Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration. JNCI Cancer Spectr. 2022 01 05; 6(1).
    View in: PubMed
    Score: 0.151
  5. Computer-aided diagnosis in radiology. Acad Radiol. 2002 Jan; 9(1):1-3.
    View in: PubMed
    Score: 0.151
  6. Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century. Br J Radiol. 2020 Feb 01; 93(1106):20190855.
    View in: PubMed
    Score: 0.132
  7. Correlative feature analysis on FFDM. Med Phys. 2008 Dec; 35(12):5490-500.
    View in: PubMed
    Score: 0.061
  8. DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement? Med Phys. 2008 Jul; 35(7):3102-9.
    View in: PubMed
    Score: 0.015
  9. Computerized analysis of abnormal asymmetry in digital chest radiographs: evaluation of potential utility. J Digit Imaging. 1999 Feb; 12(1):34-42.
    View in: PubMed
    Score: 0.008
  10. Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol. 1999 Jan; 6(1):22-33.
    View in: PubMed
    Score: 0.008
  11. Computerized delineation and analysis of costophrenic angles in digital chest radiographs. Acad Radiol. 1998 May; 5(5):329-35.
    View in: PubMed
    Score: 0.007
  12. Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer. Radiology. 1993 Apr; 187(1):81-7.
    View in: PubMed
    Score: 0.005
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.