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European Radiology|February 27, 2019
Modified calcium subtraction in dual-energy CT angiography of the lower extremity runoff: impact on diagnostic accuracy for stenosis detectionDomenico De Santis, Carlo N De Cecco, U Joseph Schoepf, et al.
European Journal of Radiology|April 5, 2025
Accuracy of a deep neural network for automated pulmonary embolism detection on dedicated CT pulmonary angiogramsEmese Zsarnoczay, Saikiran Rapaka, U Joseph Schoepf, et al.
JACC. Cardiovascular Imaging|August 19, 2019
Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE RegistryChristian Tesche, Katharina Otani, Carlo N De Cecco, et al.
European Journal of Radiology|December 28, 2020
Value of minimum intensity projections for chest CT in COVID-19 patientsChristian Booz, Thomas J Vogl, U Joseph Schoepf, et al.
Nature Communications|December 1, 2020
A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography imagesZhao Shi, Chongchang Miao, U Joseph Schoepf, et al.
Journal of Cardiovascular Computed Tomography|December 31, 2021
Deep learning model to quantify left atrium volume on routine non-contrast chest CT and predict adverse outcomesGilberto J Aquino, Jordan Chamberlin, Megan Mercer, et al.
European Radiology|March 8, 2022
Functional CAD-RADS using FFR<sub>CT</sub> on therapeutic management and prognosis in patients with coronary artery diseaseChun Xiang Tang, Hong Yan Qiao, Xiao Lei Zhang, et al.
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