Distributed query-aware quantization for high-dimensional similarity searches

por Guzun, Gheorghi, Canahuate, Guadalupe
Publicado 2018

Oropharyngeal cancer patient stratification using random forest based-learning over high-dimensional radiomic features

por Patel, Harsh, Vock, David M., Marai, G. Elisabeta, Fuller, Clifton D., Mohamed, Abdallah S. R., Canahuate, Guadalupe
Publicado 2021

Optimal Treatment Selection in Sequential Systemic and Locoregional Therapy of Oropharyngeal Squamous Carcinomas: Deep Q-Learning With a Patient-Physician Digital Twin Dyad

por Tardini, Elisa, Zhang, Xinhua, Canahuate, Guadalupe, Wentzel, Andrew, Mohamed, Abdallah S R, Van Dijk, Lisanne, Fuller, Clifton D, Marai, G Elisabeta
Publicado 2022

Clustering of Largely Right-Censored Oropharyngeal Head and Neck Cancer Patients for Discriminative Groupings to Improve Outcome Prediction

por Tosado, Joel, Zdilar, Luka, Elhalawani, Hesham, Elgohari, Baher, Vock, David M., Marai, G. Elisabeta, Fuller, Clifton, Mohamed, Abdallah S. R., Canahuate, Guadalupe
Publicado 2020

Multi-organ spatial stratification of 3-D dose distributions improves risk prediction of long-term self-reported severe symptoms in oropharyngeal cancer patients receiving radiothe...

por Wentzel, Andrew, Mohamed, Abdallah S. R., Naser, Mohamed A., van Dijk, Lisanne V., Hutcheson, Katherine, Moreno, Amy M., Fuller, Clifton D., Canahuate, Guadalupe, Marai, G. Elisabeta
Publicado 2023

A prospective in silico analysis of interdisciplinary and interobserver spatial variability in post-operative target delineation of high-risk oral cavity cancers: Does physician sp...

por Ng, Sweet Ping, Dyer, Brandon A., Kalpathy-Cramer, Jayashree, Mohamed, Abdallah Sherif Radwan, Awan, Musaddiq J., Gunn, G. Brandon, Phan, Jack, Zafereo, Mark, Debnam, J. Matthew, Lewis, Carol M., Colen, Rivka R., Kupferman, Michael E., Guha-Thakurta, Nandita, Canahuate, Guadalupe, Marai, G. Elisabeta, Vock, David, Hamilton, Bronwyn, Holland, John, Cardenas, Carlos E., Lai, Stephen, Rosenthal, David, Fuller, Clifton David
Publicado 2018

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