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The Future of Artificial Intelligence in Radiation Oncology.
Thompson, Reid F; Valdes, Gilmer; Fuller, Clifton David; Carpenter, Colin M; Morin, Olivier; Aneja, Sanjay; Lindsay, William D; Aerts, Hugo J W L; Agrimson, Barbara; Deville, Curtiland; Rosenthal, Seth A; Yu, James B; Thomas, Charles R.
Affiliation
  • Thompson RF; Oregon Health and Science University, Portland, Oregon; Veterans Affairs Portland Health Care System, Portland, Oregon. Electronic address: thompsre@ohsu.edu.
  • Valdes G; University of California San Francisco, San Francisco, California.
  • Fuller CD; MD Anderson Cancer Center, Houston, Texas.
  • Carpenter CM; Siris Medical, Inc, Redwood City, California.
  • Morin O; University of California San Francisco, San Francisco, California.
  • Aneja S; Yale University, New Haven, Connecticut.
  • Lindsay WD; Oncora Medical, Philadelphia, Pennsylvania.
  • Aerts HJWL; Dana Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Agrimson B; Oregon Health and Science University, Portland, Oregon.
  • Deville C; Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Rosenthal SA; Sutter Medical Group and Suttter Cancer Center, Sacramento, California.
  • Yu JB; Yale University, New Haven, Connecticut.
  • Thomas CR; Oregon Health and Science University, Portland, Oregon.
Int J Radiat Oncol Biol Phys ; 102(2): 247-248, 2018 10 01.
Article in En | MEDLINE | ID: mdl-30191856
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Radiation Oncology / Forecasting Type of study: Prognostic_studies Language: En Journal: Int J Radiat Oncol Biol Phys Year: 2018 Document type: Article
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Radiation Oncology / Forecasting Type of study: Prognostic_studies Language: En Journal: Int J Radiat Oncol Biol Phys Year: 2018 Document type: Article