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This is a "connection" page, showing publications co-authored by LAURENCE EDWARD COURT and DANIEL GOMEZ.
LAURENCE EDWARD COURT
Connection Strength
1.606
DANIEL GOMEZ
  1. Prognostic value of combining a quantitative image feature from positron emission tomography with clinical factors in oligometastatic non-small cell lung cancer. Radiother Oncol. 2018 02; 126(2):362-367.
    View in: PubMed
    Score: 0.153
  2. 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: 0.149
  3. Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer. Sci Rep. 2017 04 03; 7(1):588.
    View in: PubMed
    Score: 0.146
  4. (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: 0.139
  5. Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer? Med Phys. 2015 Dec; 42(12):6784-97.
    View in: PubMed
    Score: 0.133
  6. NSCLC tumor shrinkage prediction using quantitative image features. Comput Med Imaging Graph. 2016 Apr; 49:29-36.
    View in: PubMed
    Score: 0.133
  7. Objectively Quantifying Radiation Esophagitis With Novel Computed Tomography-Based Metrics. Int J Radiat Oncol Biol Phys. 2016 Feb 01; 94(2):385-93.
    View in: PubMed
    Score: 0.132
  8. Analysis of esophageal-sparing treatment plans for patients with high-grade esophagitis. J Appl Clin Med Phys. 2013 Jul 08; 14(4):4248.
    View in: PubMed
    Score: 0.113
  9. 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: 0.111
  10. SU-E-T-575: To Analyze the Clinical Impact of Esophageal Sparing on Treatment Plans for Patients with Grade 3 Esophagitis. Med Phys. 2012 Jun; 39(6Part19):3838.
    View in: PubMed
    Score: 0.104
  11. SU-E-T-558: Assessing the Effect of Inter-Fractional Motion in Esophageal Sparing Plans. Med Phys. 2012 Jun; 39(6Part18):3834.
    View in: PubMed
    Score: 0.104
  12. Development and application of an elastic net logistic regression model to investigate the impact of cardiac substructure dose on radiation-induced pericardial effusion in patients with NSCLC. Acta Oncol. 2020 Oct; 59(10):1193-1200.
    View in: PubMed
    Score: 0.046
  13. Automatic segmentation of cardiac substructures from noncontrast CT images: accurate enough for dosimetric analysis? Acta Oncol. 2019 Jan; 58(1):81-87.
    View in: PubMed
    Score: 0.041
  14. DNA repair capacity correlates with standardized uptake values from 18F-fluorodeoxyglucose positron emission tomography/CT in patients with advanced non-small-cell lung cancer. Chronic Dis Transl Med. 2018 Jun; 4(2):109-116.
    View in: PubMed
    Score: 0.040
  15. Cardiac atlas development and validation for automatic segmentation of cardiac substructures. Radiother Oncol. 2017 01; 122(1):66-71.
    View in: PubMed
    Score: 0.036
  16. SU-F-BRCD-05: Mean Regional Dose to the Esophagus Predicts Acute Toxicity Rate for Lung Cancer Patients. Med Phys. 2012 Jun; 39(6Part20):3856.
    View in: PubMed
    Score: 0.026
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.