Connection

Co-Authors

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

2.647
  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: 0.240
  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: 0.230
  3. 18FDG positron emission tomography mining for metabolic imaging biomarkers of radiation-induced xerostomia in patients with oropharyngeal cancer. Clin Transl Radiat Oncol. 2021 Jul; 29:93-101.
    View in: PubMed
    Score: 0.205
  4. 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: 0.182
  5. Effects of alterations in positron emission tomography imaging parameters on radiomics features. PLoS One. 2019; 14(9):e0221877.
    View in: PubMed
    Score: 0.182
  6. Imaging-Genomic Study of Head and Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes and Genomic Mechanisms via Integration of The Cancer Genome Atlas and The Cancer Imaging Archive. JCO Clin Cancer Inform. 2019 02; 3:1-9.
    View in: PubMed
    Score: 0.174
  7. Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks. Phys Med Biol. 2018 11 07; 63(21):215026.
    View in: PubMed
    Score: 0.171
  8. 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: 0.170
  9. 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: 0.168
  10. 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: 0.157
  11. Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: anatomic region of interest-based comparison of rigid and deformable algorithms. Radiology. 2015 Mar; 274(3):752-63.
    View in: PubMed
    Score: 0.130
  12. 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: 0.123
  13. Clinical acceptability of automatically generated lymph node levels and structures of deglutition and mastication for head and neck radiation therapy. Phys Imaging Radiat Oncol. 2024 Jan; 29:100540.
    View in: PubMed
    Score: 0.062
  14. Evolving Horizons in Radiotherapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification. ArXiv. 2023 Oct 16.
    View in: PubMed
    Score: 0.060
  15. A transformer-based hierarchical registration framework for multimodality deformable image registration. Comput Med Imaging Graph. 2023 09; 108:102286.
    View in: PubMed
    Score: 0.060
  16. Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients. Front Artif Intell. 2021; 4:618469.
    View in: PubMed
    Score: 0.051
  17. A PET Radiomics Model to Predict Refractory Mediastinal Hodgkin Lymphoma. Sci Rep. 2019 02 04; 9(1):1322.
    View in: PubMed
    Score: 0.044
  18. Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies. Sci Rep. 2018 08 29; 8(1):13047.
    View in: PubMed
    Score: 0.042
  19. Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges. Front Oncol. 2018; 8:294.
    View in: PubMed
    Score: 0.042
  20. A methodology to investigate the impact of image distortions on the radiation dose when using magnetic resonance images for planning. Phys Med Biol. 2018 04 05; 63(8):085005.
    View in: PubMed
    Score: 0.041
  21. Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function. Int J Radiat Oncol Biol Phys. 2018 06 01; 101(2):468-478.
    View in: PubMed
    Score: 0.041
  22. Developing and characterizing MR/CT-visible materials used in QA phantoms for MRgRT systems. Med Phys. 2018 Feb; 45(2):773-782.
    View in: PubMed
    Score: 0.040
  23. Acute Tumor Lactate Perturbations as a Biomarker of Genotoxic Stress: Development of a Biochemical Model. Mol Cancer Ther. 2015 Dec; 14(12):2901-8.
    View in: PubMed
    Score: 0.034
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.