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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Karla Jane Horsch and Maryellen L. Giger.
Connection Strength

0.744
  1. Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts. Acad Radiol. 2013 Jul; 20(7):847-53.
    View in: PubMed
    Score: 0.118
  2. A scaling transformation for classifier output based on likelihood ratio: applications to a CAD workstation for diagnosis of breast cancer. Med Phys. 2012 May; 39(5):2787-804.
    View in: PubMed
    Score: 0.110
  3. Prevalence scaling: applications to an intelligent workstation for the diagnosis of breast cancer. Acad Radiol. 2008 Nov; 15(11):1446-57.
    View in: PubMed
    Score: 0.086
  4. Potential effect of different radiologist reporting methods on studies showing benefit of CAD. Acad Radiol. 2008 Feb; 15(2):139-52.
    View in: PubMed
    Score: 0.082
  5. Classification of breast lesions with multimodality computer-aided diagnosis: observer study results on an independent clinical data set. Radiology. 2006 Aug; 240(2):357-68.
    View in: PubMed
    Score: 0.074
  6. Multimodality computerized diagnosis of breast lesions using mammography and sonography. Acad Radiol. 2005 Aug; 12(8):970-9.
    View in: PubMed
    Score: 0.069
  7. Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography. Acad Radiol. 2004 Mar; 11(3):272-80.
    View in: PubMed
    Score: 0.063
  8. Computerized diagnosis of breast lesions on ultrasound. Med Phys. 2002 Feb; 29(2):157-64.
    View in: PubMed
    Score: 0.054
  9. Automatic segmentation of breast lesions on ultrasound. Med Phys. 2001 Aug; 28(8):1652-9.
    View in: PubMed
    Score: 0.052
  10. Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset. Acad Radiol. 2008 Nov; 15(11):1437-45.
    View in: PubMed
    Score: 0.022
  11. Computerized lesion detection on breast ultrasound. Med Phys. 2002 Jul; 29(7):1438-46.
    View in: PubMed
    Score: 0.014
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.