Work

Author Correction: Identification of CT based radiomic biomarkers for progression free survival in head and neck squamous cell carcinoma

Year: 2025

Type: erratum

Abstract: “Xiao Ling and Lei Ren were supported by the National Institutes of Health (NIH) grants R01EB032680 and U54CA273956. Daria A. Gaykalova was supported by a Research Scholarship Grant, RSG-21-020-01-MPC from the American Cancer Society, and R01DE027809 from the National Institute of Health.”

Source: Scientific Reports

DOI: 10.1038/s41598-025-90567-2

Authors: Xiao Ling, Soha Bazyar, Matthew Ferris, Jason Molitoris, Erin Allor, Hannah Thomas, Danielle Arons, Lisa Schumaker, Rebecca Krc, William Silva Mendes, Phuoc T. Tran, Amit Sawant, Ranee Mehra, Daria A. Gaykalova, Lei Ren

Institutions: University of Maryland, Baltimore, Auburn University at Montgomery, University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland Medical Center, Johns Hopkins University, Sidney Kimmel Comprehensive Cancer Center

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,690

Funders: National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering, National Institute of Dental and Craniofacial Research

Awards: Study of Biological and Radiographic Biomarkers and Association with Ancestry and Survival Disparities in Oral Cavity Squamous Cell Carcinoma Using AI Approaches, Delineating chromatin-related gene expression signatures as a function of HNSCC progression, G9000040027, eXtended Modular ANthropomorphic (XMAN) phantom for Imaging and Treatment Optimization in Radiotherapy.

OpenAlex ID: W4407807640

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