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Journal of Nuclear Medicine

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Research ArticleCLINICAL INVESTIGATIONS

Automated Quality Control for Segmentation of Myocardial Perfusion SPECT

Yuan Xu, Paul Kavanagh, Mathews Fish, James Gerlach, Amit Ramesh, Mark Lemley, Sean Hayes, Daniel S. Berman, Guido Germano and Piotr J. Slomka
Journal of Nuclear Medicine September 2009, 50 (9) 1418-1426; DOI: https://doi.org/10.2967/jnumed.108.061333
Yuan Xu
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Paul Kavanagh
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Mathews Fish
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James Gerlach
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Amit Ramesh
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Mark Lemley
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Sean Hayes
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Daniel S. Berman
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Guido Germano
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Piotr J. Slomka
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Journal of Nuclear Medicine: 50 (9)
Journal of Nuclear Medicine
Vol. 50, Issue 9
September 2009
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Automated Quality Control for Segmentation of Myocardial Perfusion SPECT
Yuan Xu, Paul Kavanagh, Mathews Fish, James Gerlach, Amit Ramesh, Mark Lemley, Sean Hayes, Daniel S. Berman, Guido Germano, Piotr J. Slomka
Journal of Nuclear Medicine Sep 2009, 50 (9) 1418-1426; DOI: 10.2967/jnumed.108.061333

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Automated Quality Control for Segmentation of Myocardial Perfusion SPECT
Yuan Xu, Paul Kavanagh, Mathews Fish, James Gerlach, Amit Ramesh, Mark Lemley, Sean Hayes, Daniel S. Berman, Guido Germano, Piotr J. Slomka
Journal of Nuclear Medicine Sep 2009, 50 (9) 1418-1426; DOI: 10.2967/jnumed.108.061333
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  • Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications
  • Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study
  • Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study
  • Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation
  • Comparison of Fully Automated Computer Analysis and Visual Scoring for Detection of Coronary Artery Disease from Myocardial Perfusion SPECT in a Large Population
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