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Connection

Yulei Jiang to Sensitivity and Specificity

This is a "connection" page, showing publications Yulei Jiang has written about Sensitivity and Specificity.
Connection Strength

0.762
  1. Artificial Intelligence Applied to Breast MRI for Improved Diagnosis. Radiology. 2021 01; 298(1):38-46.
    View in: PubMed
    Score: 0.137
  2. Accuracy of axillary lymph node staging in breast cancer patients: an observer-performance study comparison of MRI and ultrasound. Acad Radiol. 2013 Nov; 20(11):1399-404.
    View in: PubMed
    Score: 0.084
  3. 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: 0.076
  4. Breast cancer detection rate: designing imaging trials to demonstrate improvements. Radiology. 2007 May; 243(2):360-7.
    View in: PubMed
    Score: 0.054
  5. Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications. Acad Radiol. 2006 Jan; 13(1):84-94.
    View in: PubMed
    Score: 0.049
  6. Effect of correlation on combining diagnostic information from two images of the same patient. Med Phys. 2005 Nov; 32(11):3329-38.
    View in: PubMed
    Score: 0.048
  7. A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications. IEEE Trans Med Imaging. 2005 Mar; 24(3):371-80.
    View in: PubMed
    Score: 0.046
  8. An ROC comparison of four methods of combining information from multiple images of the same patient. Med Phys. 2004 Sep; 31(9):2552-63.
    View in: PubMed
    Score: 0.045
  9. Uncertainty in the output of artificial neural networks. IEEE Trans Med Imaging. 2003 Jul; 22(7):913-21.
    View in: PubMed
    Score: 0.041
  10. Potential of computer-aided diagnosis to reduce variability in radiologists' interpretations of mammograms depicting microcalcifications. Radiology. 2001 Sep; 220(3):787-94.
    View in: PubMed
    Score: 0.036
  11. Diagnosis of Prostate Cancer by Use of MRI-Derived Quantitative Risk Maps: A Feasibility Study. AJR Am J Roentgenol. 2019 08; 213(2):W66-W75.
    View in: PubMed
    Score: 0.031
  12. Short-term reproducibility of apparent diffusion coefficient estimated from diffusion-weighted MRI of the prostate. Abdom Imaging. 2015 Oct; 40(7):2523-8.
    View in: PubMed
    Score: 0.024
  13. Dynamic contrast-enhanced MR imaging features of the normal central zone of the prostate. Acad Radiol. 2014 May; 21(5):569-77.
    View in: PubMed
    Score: 0.022
  14. Hybrid multidimensional T(2) and diffusion-weighted MRI for prostate cancer detection. J Magn Reson Imaging. 2014 Apr; 39(4):781-8.
    View in: PubMed
    Score: 0.021
  15. Seminal vesicle invasion in prostate cancer: evaluation by using multiparametric endorectal MR imaging. Radiology. 2013 Jun; 267(3):797-806.
    View in: PubMed
    Score: 0.020
  16. Computer-aided detection of prostate cancer on tissue sections. Appl Immunohistochem Mol Morphol. 2009 Oct; 17(5):442-50.
    View in: PubMed
    Score: 0.016
  17. Radial gradient-based segmentation of mammographic microcalcifications: observer evaluation and effect on CAD performance. Med Phys. 2004 Sep; 31(9):2648-57.
    View in: PubMed
    Score: 0.011
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.