Radiomics: A Tool for Predicting Tumor Response in Head and Neck Cancer Patients

0 Views

07/06/23

2017 Rice Data Science Conference: "Radiomics: A Tool for Predicting Tumor Response in Head and Neck Cancer Patients"
Speakers: Shauna Campbell, The University of Texas MD Anderson Cancer Center; Laurence Court, The University of Texas MD Anderson Cancer Center; Hesham Elhalawani, The University of Texas MD Anderson Cancer Center; Xenia Fave, The University of Texas MD Anderson Cancer Center; Rachel Ger, The University of Texas MD Anderson Cancer Center; Robin Granberry, The University of Texas MD Anderson Cancer Center; Jolien Heukelom, The Netherlands Cancer Institute; Amit Jethanandani, MD Anderson; Timothy Lin, The University of Texas MD Anderson Cancer Center; Dennis Mackin, The University of Texas MD Anderson Cancer Center; Elisabeta Marai, The University of Illinois at Chicago; Abdallah Mohamed, The University of Texas MD Anderson Cancer Center; Arvind Rao, The University of Texas MD Anderson Cancer Center; David Vock, The University of Minnesota of Public Health; Stefania Volpe, The University of Texas MD Anderson Cancer Center, University of Milan; Pei Yang, The University of Texas MD Anderson Cancer Center; Lifei Zhang, The University of Texas MD Anderson Cancer Center
Sponsored by the Rice Ken Kennedy Institute for Information Technology