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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Maryellen L. Giger and Yulei Jiang.

 
Connection Strength
 
 
 
0.449
 
  1. Giger ML, Inciardi MF, Edwards A, Papaioannou J, Drukker K, Jiang Y, Brem R, Brown JB. Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers. AJR Am J Roentgenol. 2016 Jun; 206(6):1341-50.
    View in: PubMed
    Score: 0.169
  2. Horsch K, Pesce LL, Giger ML, Metz CE, Jiang Y. 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: 0.129
  3. Ko K, Wang J, Perper S, Jiang Y, Yanez D, Kaverina N, Ai J, Liarski VM, Chang A, Peng Y, Lan L, Westmoreland S, Olson L, Giger ML, Chun Wang L, Clark MR. Bcl-2 as a Therapeutic Target in Human Tubulointerstitial Inflammation. Arthritis Rheumatol. 2016 11; 68(11):2740-2751.
    View in: PubMed
    Score: 0.044
  4. Liarski VM, Kaverina N, Chang A, Brandt D, Yanez D, Talasnik L, Carlesso G, Herbst R, Utset TO, Labno C, Peng Y, Jiang Y, Giger ML, Clark MR. Cell distance mapping identifies functional T follicular helper cells in inflamed human renal tissue. Sci Transl Med. 2014 Apr 02; 6(230):230ra46.
    View in: PubMed
    Score: 0.037
  5. Peng Y, Jiang Y, Antic T, Giger ML, Eggener SE, Oto A. Validation of quantitative analysis of multiparametric prostate MR images for prostate cancer detection and aggressiveness assessment: a cross-imager study. Radiology. 2014 May; 271(2):461-71.
    View in: PubMed
    Score: 0.036
  6. Peng Y, Jiang Y, Yang C, Brown JB, Antic T, Sethi I, Schmid-Tannwald C, Giger ML, Eggener SE, Oto A. Quantitative analysis of multiparametric prostate MR images: differentiation between prostate cancer and normal tissue and correlation with Gleason score--a computer-aided diagnosis development study. Radiology. 2013 Jun; 267(3):787-96.
    View in: PubMed
    Score: 0.034
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.