Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic resonance imaging

Authors

Sudipta Roy, Washington University School of Medicine in St. Louis
Timothy D Whitehead, Washington University School of Medicine in St. Louis
James D Quirk, Washington University School of Medicine in St. Louis
Amber Salter, Washington University School of Medicine in St. Louis
Foluso O Ademuyiwa, Washington University School of Medicine in St. Louis
Shunqiang Li, Washington University School of Medicine in St. Louis
Hongyu An, Washington University School of Medicine in St. Louis
Kooresh I Shoghi, Washington University School of Medicine in St. Louis

Journal

EBioMedicine

Publication Date

9-1-2020

Volume

59

First Page

102963

Document Type

Open Access Publication

DOI

10.1016/j.ebiom.2020.102963

Rights and Permissions

Roy S, Whitehead TD, Quirk JD, Salter A, Ademuyiwa FO, Li S, An H, Shoghi KI. Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic resonance imaging. EBioMedicine. 2020 Sep;59:102963. doi: 10.1016/j.ebiom.2020.102963. © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license. (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Recommended Citation

Roy, Sudipta; Whitehead, Timothy D; Quirk, James D; Salter, Amber; Ademuyiwa, Foluso O; Li, Shunqiang; An, Hongyu; and Shoghi, Kooresh I, "Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic resonance imaging." EBioMedicine. 59, 102963 (2020).
https://digitalcommons.wustl.edu/open_access_pubs/9578