Connection

Co-Authors

This is a "connection" page, showing publications co-authored by CLIFTON FULLER and MICHALIS ARISTOPHANOUS.
Connection Strength

0.670
  1. Magnetic Resonance-based Response Assessment and Dose Adaptation in Human Papilloma Virus Positive Tumors of the Oropharynx treated with Radiotherapy (MR-ADAPTOR): An R-IDEAL stage 2a-2b/Bayesian phase II trial. Clin Transl Radiat Oncol. 2018 Nov; 13:19-23.
    View in: PubMed
    Score: 0.162
  2. 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: 0.156
  3. Patterns-of-failure guided biological target volume definition for head and neck cancer patients: FDG-PET and dosimetric analysis of dose escalation candidate subregions. Radiother Oncol. 2017 08; 124(2):248-255.
    View in: PubMed
    Score: 0.150
  4. 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: 0.043
  5. A PET Radiomics Model to Predict Refractory Mediastinal Hodgkin Lymphoma. Sci Rep. 2019 02 04; 9(1):1322.
    View in: PubMed
    Score: 0.042
  6. 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: 0.041
  7. Prospective in silico study of the feasibility and dosimetric advantages of MRI-guided dose adaptation for human papillomavirus positive oropharyngeal cancer patients compared with standard IMRT. Clin Transl Radiat Oncol. 2018 Jun; 11:11-18.
    View in: PubMed
    Score: 0.040
  8. Prospective Qualitative and Quantitative Analysis of Real-Time Peer Review Quality Assurance Rounds Incorporating Direct Physical Examination for Head and Neck Cancer Radiation Therapy. Int J Radiat Oncol Biol Phys. 2017 07 01; 98(3):532-540.
    View in: PubMed
    Score: 0.036
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.