The University of Chicago Header Logo

Connection

Gregory Karczmar to ROC Curve

This is a "connection" page, showing publications Gregory Karczmar has written about ROC Curve.
Connection Strength

0.422
  1. Feasibility of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Using Low-Dose Gadolinium: Comparative Performance With Standard Dose in Prostate Cancer Diagnosis. Invest Radiol. 2018 10; 53(10):609-615.
    View in: PubMed
    Score: 0.139
  2. Classification of breast lesions pre-contrast injection using water resonance lineshape analysis. NMR Biomed. 2013 May; 26(5):569-77.
    View in: PubMed
    Score: 0.093
  3. Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics. IEEE Trans Med Imaging. 2020 09; 39(9):2760-2771.
    View in: PubMed
    Score: 0.038
  4. Quantitative analysis of vascular properties derived from ultrafast DCE-MRI to discriminate malignant and benign breast tumors. Magn Reson Med. 2019 03; 81(3):2147-2160.
    View in: PubMed
    Score: 0.035
  5. Performance of Ultrafast DCE-MRI for Diagnosis of Prostate Cancer. Acad Radiol. 2018 03; 25(3):349-358.
    View in: PubMed
    Score: 0.033
  6. Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions. J Magn Reson Imaging. 2014 Jan; 39(1):59-67.
    View in: PubMed
    Score: 0.024
  7. The diverse pathology and kinetics of mass, nonmass, and focus enhancement on MR imaging of the breast. J Magn Reson Imaging. 2011 Jun; 33(6):1382-9.
    View in: PubMed
    Score: 0.021
  8. Prostate cancer: differentiation of central gland cancer from benign prostatic hyperplasia by using diffusion-weighted and dynamic contrast-enhanced MR imaging. Radiology. 2010 Dec; 257(3):715-23.
    View in: PubMed
    Score: 0.020
  9. Kinetic curves of malignant lesions are not consistent across MRI systems: need for improved standardization of breast dynamic contrast-enhanced MRI acquisition. AJR Am J Roentgenol. 2009 Sep; 193(3):832-9.
    View in: PubMed
    Score: 0.019
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.