Connection

DAVID S FOLLOWILL to Particle Accelerators

This is a "connection" page, showing publications DAVID S FOLLOWILL has written about Particle Accelerators.
Connection Strength

3.222
  1. Development of a flattening filter free multiple source model for use as an independent, Monte Carlo, dose calculation, quality assurance tool for clinical trials. Med Phys. 2017 Sep; 44(9):4952-4960.
    View in: PubMed
    Score: 0.481
  2. Direct megavoltage photon calibration service in Australia. Australas Phys Eng Sci Med. 2014 Dec; 37(4):753-61.
    View in: PubMed
    Score: 0.392
  3. Response to Thomsen et al.: Comments on "The Radiological Physics Center's standard dataset for small field size output factors". J Appl Clin Med Phys. 2014 Mar 06; 15(2):4841.
    View in: PubMed
    Score: 0.380
  4. Ion recombination correction factors (P(ion)) for Varian TrueBeam high-dose-rate therapy beams. J Appl Clin Med Phys. 2012 Nov 08; 13(6):3803.
    View in: PubMed
    Score: 0.347
  5. The Radiological Physics Center's standard dataset for small field size output factors. J Appl Clin Med Phys. 2012 08 08; 13(5):3962.
    View in: PubMed
    Score: 0.341
  6. Secondary neutron spectra from modern Varian, Siemens, and Elekta linacs with multileaf collimators. Med Phys. 2009 Sep; 36(9):4027-38.
    View in: PubMed
    Score: 0.278
  7. Comparison of electron beam characteristics from multiple accelerators. Int J Radiat Oncol Biol Phys. 2004 Jul 01; 59(3):905-10.
    View in: PubMed
    Score: 0.194
  8. Neutron source strength measurements for Varian, Siemens, Elekta, and General Electric linear accelerators. J Appl Clin Med Phys. 2003; 4(3):189-94.
    View in: PubMed
    Score: 0.175
  9. Reference dosimetry data and modeling challenges for Elekta accelerators based on IROC-Houston site visit data. Med Phys. 2018 May; 45(5):2337-2344.
    View in: PubMed
    Score: 0.126
  10. Modification and validation of an analytical source model for external beam radiotherapy Monte Carlo dose calculations. Med Phys. 2016 Aug; 43(8):4842.
    View in: PubMed
    Score: 0.112
  11. Technical Report: Reference photon dosimetry data for Varian accelerators based on IROC-Houston site visit data. Med Phys. 2016 May; 43(5):2374.
    View in: PubMed
    Score: 0.110
  12. Effects of tertiary MLC configuration on secondary neutron spectra from 18 MV x-ray beams for the Varian 21EX linear accelerator. Med Phys. 2009 Sep; 36(9):4039-46.
    View in: PubMed
    Score: 0.069
  13. A Monte Carlo model for out-of-field dose calculation from high-energy photon therapy. Med Phys. 2007 Sep; 34(9):3489-99.
    View in: PubMed
    Score: 0.060
  14. Predictability of electron cone ratios with respect to linac make and model. J Appl Clin Med Phys. 2003; 4(2):172-8.
    View in: PubMed
    Score: 0.044
  15. Treatment plan complexity does not predict IROC Houston anthropomorphic head and neck phantom performance. Phys Med Biol. 2018 10 17; 63(20):205015.
    View in: PubMed
    Score: 0.033
  16. Treatment Planning System Calculation Errors Are Present in Most Imaging and Radiation Oncology Core-Houston Phantom Failures. Int J Radiat Oncol Biol Phys. 2017 08 01; 98(5):1197-1203.
    View in: PubMed
    Score: 0.029
  17. Use of a matchline dosimetry analysis tool (MDAT) to quantify dose homogeneity in the region between abutting tangential and supraclavicular radiation fields. J Appl Clin Med Phys. 2010 Jul 27; 11(4):3294.
    View in: PubMed
    Score: 0.018
  18. Out-of-field photon and neutron dose equivalents from step-and-shoot intensity-modulated radiation therapy. Int J Radiat Oncol Biol Phys. 2005 Jul 15; 62(4):1204-16.
    View in: PubMed
    Score: 0.013
  19. Current calibration, treatment, and treatment planning techniques among institutions participating in the Children's Oncology Group. Int J Radiat Oncol Biol Phys. 2003 Jan 01; 55(1):245-60.
    View in: PubMed
    Score: 0.011
  20. A first order approximation of field-size and depth dependence of wedge transmission. Med Phys. 1998 Feb; 25(2):241-4.
    View in: PubMed
    Score: 0.008
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.