Connection

Co-Authors

This is a "connection" page, showing publications co-authored by ZHONGXING LIAO and MARY K MARTEL.
Connection Strength

1.581
  1. Erratum: "The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis" [Med. Phys. Vol. 45(11):5317-5324 (2018)]. Med Phys. 2019 Feb; 46(2):1079.
    View in: PubMed
    Score: 0.165
  2. The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis. Med Phys. 2018 Nov; 45(11):5317-5324.
    View in: PubMed
    Score: 0.162
  3. In Reply to Jin et?al. Int J Radiat Oncol Biol Phys. 2016 10 01; 96(2):481-482.
    View in: PubMed
    Score: 0.141
  4. Lung Size and the Risk of Radiation Pneumonitis. Int J Radiat Oncol Biol Phys. 2016 Feb 01; 94(2):377-84.
    View in: PubMed
    Score: 0.132
  5. A technique to use CT images for in vivo detection and quantification of the spatial distribution of radiation-induced esophagitis. J Appl Clin Med Phys. 2013 May 06; 14(3):4195.
    View in: PubMed
    Score: 0.112
  6. Prescribing radiation dose to lung cancer patients based on personalized toxicity estimates. J Thorac Oncol. 2012 Nov; 7(11):1676-82.
    View in: PubMed
    Score: 0.108
  7. Predictors of high-grade esophagitis after definitive three-dimensional conformal therapy, intensity-modulated radiation therapy, or proton beam therapy for non-small cell lung cancer. Int J Radiat Oncol Biol Phys. 2012 Nov 15; 84(4):1010-6.
    View in: PubMed
    Score: 0.106
  8. Predicting pneumonitis risk: a dosimetric alternative to mean lung dose. Int J Radiat Oncol Biol Phys. 2013 Feb 01; 85(2):522-7.
    View in: PubMed
    Score: 0.104
  9. Incorporating single-nucleotide polymorphisms into the Lyman model to improve prediction of radiation pneumonitis. Int J Radiat Oncol Biol Phys. 2013 Jan 01; 85(1):251-7.
    View in: PubMed
    Score: 0.104
  10. Long-term clinical outcome of intensity-modulated radiotherapy for inoperable non-small cell lung cancer: the MD Anderson experience. Int J Radiat Oncol Biol Phys. 2012 May 01; 83(1):332-9.
    View in: PubMed
    Score: 0.101
  11. Investigation of the relationship between gross tumor volume location and pneumonitis rates using a large clinical database of non-small-cell lung cancer patients. Int J Radiat Oncol Biol Phys. 2012 Apr 01; 82(5):1650-8.
    View in: PubMed
    Score: 0.097
  12. Influence of technologic advances on outcomes in patients with unresectable, locally advanced non-small-cell lung cancer receiving concomitant chemoradiotherapy. Int J Radiat Oncol Biol Phys. 2010 Mar 01; 76(3):775-81.
    View in: PubMed
    Score: 0.085
  13. Differences in Normal Tissue Response in the Esophagus Between Proton and Photon Radiation Therapy for Non-Small Cell Lung Cancer Using In?Vivo Imaging Biomarkers. Int J Radiat Oncol Biol Phys. 2017 11 15; 99(4):1013-1020.
    View in: PubMed
    Score: 0.037
  14. (18)F-Fluorodeoxyglucose Positron Emission Tomography Can Quantify and Predict Esophageal Injury During Radiation Therapy. Int J Radiat Oncol Biol Phys. 2016 11 01; 96(3):670-8.
    View in: PubMed
    Score: 0.035
  15. NSCLC tumor shrinkage prediction using quantitative image features. Comput Med Imaging Graph. 2016 Apr; 49:29-36.
    View in: PubMed
    Score: 0.033
  16. Acute phase response before treatment predicts radiation esophagitis in non-small cell lung cancer. Radiother Oncol. 2014 Mar; 110(3):493-8.
    View in: PubMed
    Score: 0.029
  17. Is there an impact of heart exposure on the incidence of radiation pneumonitis? Analysis of data from a large clinical cohort. Acta Oncol. 2014 May; 53(5):590-6.
    View in: PubMed
    Score: 0.029
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.