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Connection

Gregory Karczmar to Phantoms, Imaging

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

1.144
  1. Echo-planar spectroscopic imaging (EPSI) of the water resonance structure in human breast using sensitivity encoding (SENSE). Magn Reson Med. 2010 Jun; 63(6):1557-63.
    View in: PubMed
    Score: 0.315
  2. Characterization of Effects of Compressed Sensing on High Spectral and Spatial Resolution (HiSS) MRI with Comparison to SENSE. Tomography. 2023 03 19; 9(2):693-705.
    View in: PubMed
    Score: 0.191
  3. Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI. PLoS One. 2021; 16(10):e0258621.
    View in: PubMed
    Score: 0.174
  4. B1 and T1 mapping of the breast with a reference tissue method. Magn Reson Med. 2016 Apr; 75(4):1565-73.
    View in: PubMed
    Score: 0.111
  5. Radiofrequency magnetic field gradient echoes have reduced sensitivity to susceptibility gradients. Magn Reson Imaging. 1995; 13(6):791-7.
    View in: PubMed
    Score: 0.108
  6. Safety limitations of MR-HIFU treatment near interfaces: a phantom validation. J Appl Clin Med Phys. 2012 Mar 08; 13(2):3739.
    View in: PubMed
    Score: 0.089
  7. Reduction of spectral ghost artifacts in high-resolution echo-planar spectroscopic imaging of water and fat resonances. Magn Reson Med. 2003 Jun; 49(6):1113-20.
    View in: PubMed
    Score: 0.048
  8. An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom. Med Image Anal. 2021 10; 73:102186.
    View in: PubMed
    Score: 0.043
  9. Fast spectroscopic imaging of water and fat resonances to improve the quality of MR images. Acad Radiol. 1998 Apr; 5(4):269-75.
    View in: PubMed
    Score: 0.034
  10. Spectral characterization of tissues in high spectral and spatial resolution MR images: Implications for a classification-based synthetic CT algorithm. Med Phys. 2017 May; 44(5):1865-1875.
    View in: PubMed
    Score: 0.032
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.