A Combination of Serial Tumor Radiomics Features and key clinical attributes can predict the response of Head & Neck Cancers Treated with Image-Guided Radiation Therapy

Created on April 20, 2018

2018   ·   paper   ·   papers   Applications   Visual Analytics   Visual Informatics

A Combination of Serial Tumor Radiomics Features and key clinical attributes can predict the response of Head & Neck Cancers Treated with Image-Guided Radiation Therapy

Elhalawani, H.,Mohamed, A.,Volpe, V.,Yang, P.,Campbell, S.,Granberry, R.,Ger, R.,Fave, X.,Zhang, L.,Marai, GE,Vock, DM,Canahuate, GM,Macking, D.,Court, L.,Gunn, GB,Rao, A.,Fuller, CD Support:
National Institutes of Health:
NCI-R01-CA214825, “SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic Adaptation in Cancer Treatment”
NCI-R01CA225190, “QuBBD: Precision E –Radiomics for Dynamic Big Head & Neck Cancer Data“

Citation: Elhalawani, H., Mohamed, A., Volpe, V., Yang, P., Campbell, S., Granberry, R., Ger, R., Fave, X., Zhang, L., Marai, GE, Vock, DM, Canahuate, GM, Macking, D., Court, L., Gunn, GB, Rao, A., Fuller, CD, A Combination of Serial Tumor Radiomics Features and key clinical attributes can predict the response of Head & Neck Cancers Treated with Image-Guided Radiation Therapy, ESTRO 2018, pp. 1-3, 2018-04-20.