Editorial for “An MRI‐Based Radiomics Nomogram to Access Recurrence Risk in Sinonasal Malignant Tumors”

Journal of Magnetic Resonance Imaging(2022)

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Journal of Magnetic Resonance ImagingEarly View Editorial Editorial for “An MRI-Based Radiomics Nomogram to Predict Recurrence in Sinonasal Malignant Tumors” Houchun Harry Hu PhD, Corresponding Author Houchun Harry Hu PhD [email protected] [email protected] orcid.org/0000-0002-0719-1159 Department of Radiology, Section of Radiological Science, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colorado, USA Address reprint requests to: H.H.H., University of Colorado, Anschutz School of Medicine Leprino Building 12401 E 17th Ave, Aurora, Colorado 80045, USA. E-mail: [email protected] or [email protected]Search for more papers by this author Houchun Harry Hu PhD, Corresponding Author Houchun Harry Hu PhD [email protected] [email protected] orcid.org/0000-0002-0719-1159 Department of Radiology, Section of Radiological Science, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colorado, USA Address reprint requests to: H.H.H., University of Colorado, Anschutz School of Medicine Leprino Building 12401 E 17th Ave, Aurora, Colorado 80045, USA. E-mail: [email protected] or [email protected]Search for more papers by this author First published: 30 November 2022 https://doi.org/10.1002/jmri.28551 Evidence Level: 5 Technical Efficacy: Stage 1 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. Early ViewOnline Version of Record before inclusion in an issue RelatedInformation
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sinonasal malignant tumors”,radiomics nomogram,<scp>mri</scp>
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