Connection

CLIFTON FULLER to Organs at Risk

This is a "connection" page, showing publications CLIFTON FULLER has written about Organs at Risk.
Connection Strength

2.630
  1. Imaging for Target Delineation and Treatment Planning in Radiation Oncology: Current and Emerging Techniques. Hematol Oncol Clin North Am. 2019 12; 33(6):963-975.
    View in: PubMed
    Score: 0.565
  2. Auto-segmentation of the brachial plexus assessed with TaCTICS - a software platform for rapid multiple-metric quantitative evaluation of contours. Acta Oncol. 2015 Apr; 54(4):557-60.
    View in: PubMed
    Score: 0.401
  3. Prospective randomized double-blind study of atlas-based organ-at-risk autosegmentation-assisted radiation planning in head and neck cancer. Radiother Oncol. 2014 Sep; 112(3):321-5.
    View in: PubMed
    Score: 0.399
  4. Beam path toxicity in candidate organs-at-risk: assessment of radiation emetogenesis for patients receiving head and neck intensity modulated radiotherapy. Radiother Oncol. 2014 May; 111(2):281-8.
    View in: PubMed
    Score: 0.388
  5. Investigation of autosegmentation techniques on T2-weighted MRI for off-line dose reconstruction in MR-linac workflow for head and neck cancers. Med Phys. 2024 Jan; 51(1):278-291.
    View in: PubMed
    Score: 0.184
  6. Differences between planned and delivered dose for head and neck cancer, and their consequences for normal tissue complication probability and treatment adaptation. Radiother Oncol. 2020 01; 142:100-106.
    View in: PubMed
    Score: 0.140
  7. A Multidisciplinary Orbit-Sparing Treatment Approach That Includes Proton Therapy for Epithelial Tumors of the Orbit and Ocular Adnexa. Int J Radiat Oncol Biol Phys. 2016 May 01; 95(1):344-352.
    View in: PubMed
    Score: 0.106
  8. Estimation of daily interfractional larynx residual setup error after isocentric alignment for head and neck radiotherapy: quality assurance implications for target volume and organs-at-risk margination using daily CT on- rails imaging. J Appl Clin Med Phys. 2014 Jan 08; 16(1):5108.
    View in: PubMed
    Score: 0.095
  9. Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers. Med Phys. 2023 Nov; 50(11):6639-6648.
    View in: PubMed
    Score: 0.047
  10. Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans. Pract Radiat Oncol. 2023 May-Jun; 13(3):e282-e291.
    View in: PubMed
    Score: 0.045
  11. Dose accumulation of daily adaptive plans to decide optimal plan adaptation strategy for head-and-neck patients treated with MR-Linac. Med Dosim. 2022 Spring; 47(1):103-109.
    View in: PubMed
    Score: 0.041
  12. Initial Feasibility and Clinical Implementation of Daily MR-Guided Adaptive Head and Neck Cancer Radiation Therapy on a 1.5T MR-Linac System: Prospective R-IDEAL 2a/2b Systematic Clinical Evaluation of Technical Innovation. Int J Radiat Oncol Biol Phys. 2021 04 01; 109(5):1606-1618.
    View in: PubMed
    Score: 0.039
  13. Defining the dose-volume criteria for laryngeal sparing in locally advanced oropharyngeal cancer utilizing split-field IMRT, whole-field IMRT and VMAT. J Appl Clin Med Phys. 2021 Jan; 22(1):37-44.
    View in: PubMed
    Score: 0.038
  14. Precision toxicity correlates of tumor spatial proximity to organs at risk in cancer patients receiving intensity-modulated radiotherapy. Radiother Oncol. 2020 07; 148:245-251.
    View in: PubMed
    Score: 0.037
  15. Technical Note: A step-by-step guide to Temporally Feathered Radiation Therapy planning for head and neck cancer. J Appl Clin Med Phys. 2020 Jul; 21(7):209-215.
    View in: PubMed
    Score: 0.037
  16. Quantifying the accuracy of deformable image registration for cone-beam computed tomography with a physical phantom. J Appl Clin Med Phys. 2019 Oct; 20(10):92-100.
    View in: PubMed
    Score: 0.035
  17. Temporally feathered intensity-modulated radiation therapy: A planning technique to reduce normal tissue toxicity. Med Phys. 2018 Jul; 45(7):3466-3474.
    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.