Augmenting Quality Assurance Measures in Treatment Review with Machine Learning in Radiation Oncology

por Pillai, Malvika, Shumway, John W., Adapa, Karthik, Dooley, John, McGurk, Ross, Mazur, Lukasz M., Das, Shiva K., Chera, Bhishamjit S.
Publicado 2023

Demographics of ASTRO Student Members and Potential Implications for Future U.S. Radiation Oncology Workforce Diversity

por Mattes, Malcolm D., Deville, Curtiland, Vega, Raymond B. Mailhot, Fung, Claire Y., Suneja, Gita, Shumway, John W., Chowdhary, Mudit, Shah, Chirag, Bates, James E., Mohindra, Pranshu, Siker, Malika L., Winkfield, Karen M., Vapiwala, Neha, Royce, Trevor J.
Publicado 2021

Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges

por Elhalawani, Hesham, Lin, Timothy A., Volpe, Stefania, Mohamed, Abdallah S. R., White, Aubrey L., Zafereo, James, Wong, Andrew J., Berends, Joel E., AboHashem, Shady, Williams, Bowman, Aymard, Jeremy M., Kanwar, Aasheesh, Perni, Subha, Rock, Crosby D., Cooksey, Luke, Campbell, Shauna, Yang, Pei, Nguyen, Khahn, Ger, Rachel B., Cardenas, Carlos E., Fave, Xenia J., Sansone, Carlo, Piantadosi, Gabriele, Marrone, Stefano, Liu, Rongjie, Huang, Chao, Yu, Kaixian, Li, Tengfei, Yu, Yang, Zhang, Youyi, Zhu, Hongtu, Morris, Jeffrey S., Baladandayuthapani, Veerabhadran, Shumway, John W., Ghosh, Alakonanda, Pöhlmann, Andrei, Phoulady, Hady A., Goyal, Vibhas, Canahuate, Guadalupe, Marai, G. Elisabeta, Vock, David, Lai, Stephen Y., Mackin, Dennis S., Court, Laurence E., Freymann, John, Farahani, Keyvan, Kaplathy-Cramer, Jayashree, Fuller, Clifton D.
Publicado 2018