Litcius/Paper detail

Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images

Robert J.H. Miller, Ananya Singh, Yuka Otaki, Balaji Tamarappoo, Paul Kavanagh, Tejas Parekh, Lien-Hsin Hu, Heidi Gransar, Tali Sharir, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo F. Di Carli, Joanna X. Liang, Damini Dey, Daniel S. Berman, Piotr J. Slomka

2022European Journal of Nuclear Medicine and Molecular Imaging34 citationsDOIOpen Access PDF

Topics & Concepts

Coronary artery diseaseMedicineBrier scoreReceiver operating characteristicCADMyocardial perfusion imagingArea under the curveCalibrationPopulationInternal medicineSupine positionRadiologyCardiologyArtificial intelligenceNuclear medicineStatisticsComputer scienceMathematicsEnvironmental healthEngineering drawingEngineeringCardiac Imaging and DiagnosticsCoronary Interventions and DiagnosticsCardiovascular Function and Risk Factors
Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images | Litcius