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Effect of deep learning attenuation correction on accuracy of stress myocardial perfusion imaging.

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Bibliographic Details
Title: Effect of deep learning attenuation correction on accuracy of stress myocardial perfusion imaging.
Authors: Lima BB; Divisions of Cardiovascular Medicine and Nuclear Medicine, Departments of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA., Dupont WD; Divisions of Cardiovascular Medicine and Nuclear Medicine, Departments of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA., Carr CM; Divisions of Cardiovascular Medicine and Nuclear Medicine, Departments of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA., Jahangir E; Divisions of Cardiovascular Medicine and Nuclear Medicine, Departments of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA., Smith GT; Divisions of Cardiovascular Medicine and Nuclear Medicine, Departments of Radiology, Vanderbilt University School of Medicine, Nashville, TN, USA., Gregory SA; Divisions of Cardiovascular Medicine and Nuclear Medicine, Departments of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA., Plummer WD; Divisions of Cardiovascular Medicine and Nuclear Medicine, Departments of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA., Kronenberg MW; Divisions of Cardiovascular Medicine and Nuclear Medicine, Departments of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA; Divisions of Cardiovascular Medicine and Nuclear Medicine, Departments of Radiology, Vanderbilt University School of Medicine, Nashville, TN, USA. Electronic address: marvin.w.kronenberg@vumc.org.
Source: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology [J Nucl Cardiol] 2026 May; Vol. 59, pp. 102706. Date of Electronic Publication: 2026 Apr 16.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc. on behalf of American Society of Nuclear Cardiology Country of Publication: United States NLM ID: 9423534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-6551 (Electronic) Linking ISSN: 10713581 NLM ISO Abbreviation: J Nucl Cardiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-6551
DOI:10.1016/j.nuclcard.2026.102706