Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges by Hesham Elhalawani, Timothy A. Lin, Timothy A. Lin, Stefania Volpe, Stefania Volpe, Abdallah S. R. Mohamed, Abdallah S. R. Mohamed, Aubrey L. White, Aubrey L. White, James Zafereo, James Zafereo, Andrew J. Wong, Andrew J. Wong, Joel E. Berends, Joel E. Berends, Shady AboHashem, Shady AboHashem, Bowman Williams, Bowman Williams, Jeremy M. Aymard, Jeremy M. Aymard, Aasheesh Kanwar, Aasheesh Kanwar, Subha Perni, Subha Perni, Crosby D. Rock, Crosby D. Rock, Luke Cooksey, Luke Cooksey, Shauna Campbell, Shauna Campbell, Pei Yang, Pei Yang, Khahn Nguyen, Rachel B. Ger, Rachel B. Ger, Carlos E. Cardenas, Carlos E. Cardenas, Xenia J. Fave, Carlo Sansone, Gabriele Piantadosi, Stefano Marrone, Rongjie Liu, Rongjie Liu, Chao Huang, Chao Huang, Kaixian Yu, Kaixian Yu, Tengfei Li, Tengfei Li, Yang Yu, Yang Yu, Youyi Zhang, Youyi Zhang, Hongtu Zhu, Hongtu Zhu, Jeffrey S. Morris, Jeffrey S. Morris, Veerabhadran Baladandayuthapani, Veerabhadran Baladandayuthapani, John W. Shumway, Alakonanda Ghosh, Andrei Pöhlmann, Hady A. Phoulady, Vibhas Goyal, Guadalupe Canahuate, G. Elisabeta Marai, David Vock, Stephen Y. Lai, Dennis S. Mackin, Dennis S. Mackin, Laurence E. Court, Laurence E. Court, John Freymann, Keyvan Farahani, Keyvan Farahani, Jayashree Kaplathy-Cramer, Clifton D. Fuller, Clifton D. Fuller, Clifton D. Fuller

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