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Brain Imaging and Behavior|May 19, 2016
Lower functional connectivity of default mode network in cognitively normal young adults with mutation of APP, presenilins and APOE ε4Yun Yan Su, Xiao Dong Zhang, U Joseph Schoepf, et al.Journal of Magnetic Resonance Imaging : JMRI|February 16, 2018
Nonbinary quantification technique accounting for myocardial infarct heterogeneity: Feasibility of applying percent infarct mapping in patientsDomenico Mastrodicasa, Gabriel A Elgavish, U Joseph Schoepf, et al.La Radiologia Medica|November 16, 2016
Correlation and predictive value of aortic root calcification markers with coronary artery calcification and obstructive coronary artery diseaseChristian Tesche, Carlo N De Cecco, Andrew Stubenrauch, et al.Journal of Cardiovascular Computed Tomography|January 24, 2017
Global quantification of left ventricular myocardial perfusion at dynamic CT imaging: Prognostic valueFelix G Meinel, Julian L Wichmann, U Joseph Schoepf, et al.European Radiology|September 10, 2013
Dynamic CT myocardial perfusion imaging: performance of 3D semi-automated evaluation softwareUllrich Ebersberger, Roy P Marcus, U Joseph Schoepf, et al.The American Journal of Cardiology|December 17, 2018
Comparison of the Diagnostic Performance of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve in Patients With Versus Without Diabetes Mellitus (from the MACHINE Consortium)Fay M A Nous, Adriaan Coenen, Eric Boersma, et al.European Journal of Radiology|June 21, 2017
CT coronary calcium scoring with tin filtration using iterative beam-hardening calcium correction reconstructionChristian Tesche, Carlo N De Cecco, U Joseph Schoepf, et al.Radiologic Technology|January 21, 2021
Evaluating a New Contrast Media Injection System in Coronary CT AngiographySimon S Martin, Dante A Giovagnoli, Vincenzo Vingiani, et al.Scientific Reports|June 17, 2018
Diagnostic yield and accuracy of coronary CT angiography after abnormal nuclear myocardial perfusion imagingFelix G Meinel, U Joseph Schoepf, Jacob C Townsend, et al.Academic Radiology|May 24, 2022
An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and MortalityJordan H Chamberlin, Gilberto Aquino, Uwe Joseph Schoepf, et al.Pageof 61