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Connection

Robert R. Alfano to Principal Component Analysis

This is a "connection" page, showing publications Robert R. Alfano has written about Principal Component Analysis.
  1. Zhang L, Zhou Y, Wu B, Zhang S, Zhu K, Liu CH, Yu X, Alfano RR. Intraoperative detection of human meningioma using a handheld visible resonance Raman analyzer. Lasers Med Sci. 2022 Mar; 37(2):1311-1319.
    View in: PubMed
    Score: 0.194
  2. Zhou Y, Liu CH, Wu B, Yu X, Cheng G, Zhu K, Wang K, Zhang C, Zhao M, Zong R, Zhang L, Shi L, Alfano RR. Optical biopsy identification and grading of gliomas using label-free visible resonance Raman spectroscopy. J Biomed Opt. 2019 09; 24(9):1-12.
    View in: PubMed
    Score: 0.170
  3. Liu CH, Zhou Y, Sun Y, Li JY, Zhou LX, Boydston-White S, Masilamani V, Zhu K, Pu Y, Alfano RR. Resonance Raman and Raman spectroscopy for breast cancer detection. Technol Cancer Res Treat. 2013 Aug; 12(4):371-82.
    View in: PubMed
    Score: 0.108
  4. Zhou Y, Liu CH, Sun Y, Pu Y, Boydston-White S, Liu Y, Alfano RR. Human brain cancer studied by resonance Raman spectroscopy. J Biomed Opt. 2012 Nov; 17(11):116021.
    View in: PubMed
    Score: 0.106
  5. Sun Y, Pu Y, Yang Y, Alfano RR. Biomarkers spectral subspace for cancer detection. J Biomed Opt. 2012 Oct; 17(10):107005.
    View in: PubMed
    Score: 0.105
  6. Pu Y, Wang W, Xu M, Eastham JA, Tang G, Alfano RR. Characterization and three-dimensional localization of cancerous prostate tissue using backscattering scanning polarization imaging and independent component analysis. J Biomed Opt. 2012 Aug; 17(8):081419.
    View in: PubMed
    Score: 0.104
  7. Xu M, Alrubaiee M, Gayen SK, Alfano RR. Optical imaging of turbid media using independent component analysis: theory and simulation. J Biomed Opt. 2005 Sep-Oct; 10(5):051705.
    View in: PubMed
    Score: 0.064
  8. Xu M, Alrubaiee M, Gayen SK, Alfano RR. Three-dimensional localization and optical imaging of objects in turbid media with independent component analysis. Appl Opt. 2005 Apr 01; 44(10):1889-97.
    View in: PubMed
    Score: 0.063
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.
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