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Circulation Research|February 18, 2021
Machine Learning in Arrhythmia and ElectrophysiologyNatalia A Trayanova, Dan M Popescu, Julie K Shade
Science Advances|July 29, 2021
Predicting risk of sudden cardiac death in patients with cardiac sarcoidosis using multimodality imaging and personalized heart modeling in a multivariable classifierJulie K Shade, Adityo Prakosa, Dan M Popescu, et al.
Cardiovascular Digital Health Journal|March 10, 2022
Anatomically informed deep learning on contrast-enhanced cardiac magnetic resonance imaging for scar segmentation and clinical feature extractionDan M Popescu, Haley G Abramson, Rebecca Yu, et al.
Acta Biomaterialia|October 7, 2022
Machine learning guided structure function predictions enable in silico nanoparticle screening for polymeric gene deliveryDennis Gong, Elana Ben-Akiva, Arshdeep Singh, et al.
Circulation. Arrhythmia and Electrophysiology|June 16, 2020
Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein IsolationJulie K Shade, Rheeda L Ali, Dante Basile, et al.
Critical Care Explorations|July 22, 2021
Natriuretic Peptide Levels and Clinical Outcomes Among Patients Hospitalized With Coronavirus Disease 2019 InfectionM Imran Aslam, Anum Minhas, Anahita Ghorbani, et al.
International Journal of Cardiology|May 11, 2021
The role of sex and inflammation in cardiovascular outcomes and mortality in COVID-19Anum S Minhas, Julie K Shade, Sung-Min Cho, et al.
Heart Rhythm|October 8, 2019
Ventricular arrhythmia risk prediction in repaired Tetralogy of Fallot using personalized computational cardiac modelsJulie K Shade, Mark J Cartoski, Plamen Nikolov, et al.
Pulmonary Circulation|May 4, 2022
Improving risk prediction for pulmonary embolism in COVID-19 patients using echocardiographyMonika A Satoskar, Thomas Metkus, Alborz Soleimanifard, et al.
JACC. Advances|June 27, 2022
Real-Time Prediction of Mortality, Cardiac Arrest, and Thromboembolic Complications in Hospitalized Patients With COVID-19Julie K Shade, Ashish N Doshi, Eric Sung, et al.
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