The Future of Artificial Intelligence in Radiation Oncology

Reid Thompson, Gilmer Valdes, Clifton David Fuller, Colin M. Carpenter, Olivier Morin, Sanjay Aneja, William D. Lindsay, Hugo J.W.L. Aerts, Barbara Agrimson, Curtiland Deville, Seth A. Rosenthal, James B. Yu, Charles Thomas

Research output: Contribution to journalEditorial

2 Scopus citations
Original languageEnglish (US)
Pages (from-to)247-248
Number of pages2
JournalInternational Journal of Radiation Oncology Biology Physics
Volume102
Issue number2
DOIs
StatePublished - Oct 1 2018

ASJC Scopus subject areas

  • Radiation
  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

Cite this

Thompson, R., Valdes, G., Fuller, C. D., Carpenter, C. M., Morin, O., Aneja, S., Lindsay, W. D., Aerts, H. J. W. L., Agrimson, B., Deville, C., Rosenthal, S. A., Yu, J. B., & Thomas, C. (2018). The Future of Artificial Intelligence in Radiation Oncology. International Journal of Radiation Oncology Biology Physics, 102(2), 247-248. https://doi.org/10.1016/j.ijrobp.2018.05.072