Harvard Catalyst Profiles

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Benjamin Micheal Patrick Clasie, Ph.D.

Concepts

This page shows the publications Benjamin Clasie has written about Radiometry.
Connection Strength

1.615
  1. Design of a QA method to characterize submillimeter-sized PBS beam properties using a 2D ionization chamber array. Phys Med Biol. 2018 05 15; 63(10):105007.
    View in: PubMed
    Score: 0.492
  2. Golden beam data for proton pencil-beam scanning. Phys Med Biol. 2012 Mar 07; 57(5):1147-58.
    View in: PubMed
    Score: 0.319
  3. Assessment of out-of-field absorbed dose and equivalent dose in proton fields. Med Phys. 2010 Jan; 37(1):311-21.
    View in: PubMed
    Score: 0.275
  4. Characterization of proton pencil beam scanning and passive beam using a high spatial resolution solid-state microdosimeter. Med Phys. 2017 Nov; 44(11):6085-6095.
    View in: PubMed
    Score: 0.118
  5. Impacts of gantry angle dependent scanning beam properties on proton PBS treatment. Phys Med Biol. 2017 01 21; 62(2):344-357.
    View in: PubMed
    Score: 0.112
  6. Review on the characteristics of radiation detectors for dosimetry and imaging. Phys Med Biol. 2014 Oct 21; 59(20):R303-47.
    View in: PubMed
    Score: 0.095
  7. Direct absorbed dose to water determination based on water calorimetry in scanning proton beam delivery. Med Phys. 2010 Jul; 37(7):3541-50.
    View in: PubMed
    Score: 0.071
  8. Tissue equivalency of phantom materials for neutron dosimetry in proton therapy. Med Phys. 2009 Dec; 36(12):5412-9.
    View in: PubMed
    Score: 0.068
  9. Out-of-field dose equivalents delivered by passively scattered therapeutic proton beams for clinically relevant field configurations. Int J Radiat Oncol Biol Phys. 2009 Jan 01; 73(1):306-13.
    View in: PubMed
    Score: 0.064
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.

Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.