Connection

Co-Authors

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

2.049
  1. 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: 0.447
  2. Landmark-based auto-contouring of clinical target volumes for radiotherapy of nasopharyngeal cancer. J Appl Clin Med Phys. 2024 Sep; 25(9):e14474.
    View in: PubMed
    Score: 0.243
  3. Our Experience Leading a Large Medical Physics Practice During the COVID-19 Pandemic. Adv Radiat Oncol. 2021 Jul-Aug; 6(4):100683.
    View in: PubMed
    Score: 0.193
  4. 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
  5. 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
  6. 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
  7. (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
  8. NSCLC tumor shrinkage prediction using quantitative image features. Comput Med Imaging Graph. 2016 Apr; 49:29-36.
    View in: PubMed
    Score: 0.133
  9. 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
  10. High quality machine-robust image features: identification in nonsmall cell lung cancer computed tomography images. Med Phys. 2013 Dec; 40(12):121916.
    View in: PubMed
    Score: 0.116
  11. Deep learning-based statistical robustness evaluation of intensity-modulated proton therapy for head and neck cancer. Phys Med Biol. 2024 Sep 20; 69(19).
    View in: PubMed
    Score: 0.061
  12. A real-time contouring feedback tool for consensus-based contour training. Front Oncol. 2023; 13:1204323.
    View in: PubMed
    Score: 0.057
  13. Clinical implementation of automated treatment planning for whole-brain radiotherapy. J Appl Clin Med Phys. 2021 Sep; 22(9):94-102.
    View in: PubMed
    Score: 0.049
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.