Correction to: Scientific Data, https://doi.org/10.1038/sdata.2018.173, Published online 4 September 2018
In the original version of the Data Descriptor the surname of author Hesham Elhalawani was misspelled. This has now been corrected in the HTML and PDF versions.
Author information
Authors and Affiliations
Corresponding authors
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Grossberg, A.J., Mohamed, A.S.R., Elhalawani, H. et al. Author Correction: Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy. Sci Data 5, 1 (2018). https://doi.org/10.1038/s41597-018-0002-5
Published:
Version of record:
DOI: https://doi.org/10.1038/s41597-018-0002-5
This article is cited by
-
China’s Provincial Multi-Regional Input-Output Database for 2018 and 2020
Scientific Data (2026)
-
Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements
Scientific Data (2025)
-
Identification of CT based radiomic biomarkers for progression free survival in head and neck squamous cell carcinoma
Scientific Reports (2025)
-
A multimodal dataset for precision oncology in head and neck cancer
Nature Communications (2025)
-
A survey on retrieval-augmentation generation (RAG) models for healthcare applications
Neural Computing and Applications (2025)