Connection

Co-Authors

This is a "connection" page, showing publications co-authored by CLIFTON FULLER and REBECCA MAUREEN HOWELL.
Connection Strength

0.358
  1. 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: 0.057
  2. 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: 0.055
  3. Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients. PLoS One. 2019; 14(9):e0222509.
    View in: PubMed
    Score: 0.044
  4. Effects of alterations in positron emission tomography imaging parameters on radiomics features. PLoS One. 2019; 14(9):e0221877.
    View in: PubMed
    Score: 0.043
  5. Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis. Comput Med Imaging Graph. 2018 11; 69:134-139.
    View in: PubMed
    Score: 0.041
  6. Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies. Sci Rep. 2018 08 29; 8(1):13047.
    View in: PubMed
    Score: 0.041
  7. Synthetic head and neck and phantom images for determining deformable image registration accuracy in magnetic resonance imaging. Med Phys. 2018 Jul 14.
    View in: PubMed
    Score: 0.040
  8. Accuracy of deformable image registration on magnetic resonance images in digital and physical phantoms. Med Phys. 2017 Oct; 44(10):5153-5161.
    View in: PubMed
    Score: 0.038
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.