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Connection

Maryellen Giger to Risk Factors

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

0.155
  1. Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study. Breast Cancer Res. 2014; 16(4):424.
    View in: PubMed
    Score: 0.051
  2. Radiographic texture analysis of densitometric calcaneal images: relationship to clinical characteristics and to bone fragility. J Bone Miner Res. 2010 Jan; 25(1):56-63.
    View in: PubMed
    Score: 0.037
  3. [Prevalence of upper abdominal complaints and their effect on the quality of life and utilization of medical resources. Swiss Primary Care Group]. Schweiz Med Wochenschr. 1998 May 30; 128(22):874-9.
    View in: PubMed
    Score: 0.017
  4. Dual-lumen chest port infection rates in patients with head and neck cancer. Cardiovasc Intervent Radiol. 2015 Jun; 38(3):651-6.
    View in: PubMed
    Score: 0.013
  5. Comparison of barbed versus conventional sutures for wound closure of radiologically implanted chest ports. J Vasc Interv Radiol. 2014 Sep; 25(9):1433-8.
    View in: PubMed
    Score: 0.013
  6. Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment. Acad Radiol. 2007 May; 14(5):513-21.
    View in: PubMed
    Score: 0.008
  7. Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers. Radiology. 2002 Nov; 225(2):519-26.
    View in: PubMed
    Score: 0.006
  8. Computerized analysis of mammographic parenchymal patterns for breast cancer risk assessment: feature selection. Med Phys. 2000 Jan; 27(1):4-12.
    View in: PubMed
    Score: 0.005
  9. Computerized analysis of radiographic bone patterns: effect of imaging conditions on performance. Med Phys. 2000 Jan; 27(1):75-85.
    View in: PubMed
    Score: 0.005
  10. Multifractal radiographic analysis of osteoporosis. Med Phys. 1994 Apr; 21(4):503-8.
    View in: PubMed
    Score: 0.003
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.