Original ResearchIdentification and Quantification of Cardiovascular Structures From CCTA: An End-to-End, Rapid, Pixel-Wise, Deep-Learning Method
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The study was supported by the Dalio Institute of Cardiovascular Imaging. Dr. Lee has been a consultant for Cleerly. Dr. Bax has received speaker fees from Abbott Vascular and Boehringer Ingelheim. Dr. Min has received funding from the Dalio Foundation, National Institutes of Health, and GE Healthcare; has served on the scientific advisory board of Arineta and GE Healthcare; and has an equity interest in Cleerly. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose. Joseph Schoepf, MD, served as Guest Editor for this paper.
The authors attest they are in compliance with human studies committees and animal welfare regulations of the authors’ institutions and Food and Drug Administration guidelines, including patient consent where appropriate. For more information, visit the JACC: Cardiovascular Imaging author instructions page.
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Mr. Baskaran and Mr. Maliakal contributed equally to the content of this paper.