Editorial for “Enabling AI ‐Generated Content for Gadolinium‐Free Contrast‐Enhanced Breast Magnetic Resonance Imaging”

作者：Catherine J. Moran · 发表于：Journal of Magnetic Resonance Imaging · 年份：2024 · DOI：10.1002/jmri.29535 · 被引用次数：1 · 研究领域：MRI in cancer diagnosis、Radiomics and Machine Learning in Medical Imaging、Medical Imaging Techniques and Applications

Journal of Magnetic Resonance ImagingEarly View Editorial Editorial for "Enabling AI-Generated Content for Gadolinium-Free Contrast-Enhanced Breast Magnetic Resonance Imaging" Catherine J. Moran PhD, Corresponding Author Catherine J. Moran PhD [email protected] orcid.org/0000-0001-9748-9495 Department of Radiology, Stanford University, Stanford, California, USASearch for more papers by this author Catherine J. Moran PhD, Corresponding Author Catherine J. Moran PhD [email protected] orcid.org/0000-0001-9748-9495 Department of Radiology, Stanford University, Stanford, California, USASearch for more papers by this author First published: 01 August 2024 https://doi.org/10.1002/jmri.29535 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 Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. References 1Amornsiripanitch N, Bickelhaupt S, Shin HJ, et al. Diffusion-weighted MRI for unenhanced breast cancer screening. Radiology 2019; 293: 504-520. 10.1148/radiol.2019182789 Pu...