Anatomically informed deep learning on contrast-enhanced cardiac magnetic resonance imaging for scar segmentation and clinical feature extraction
Popescu, Dan M., Abramson, Haley G., Yu, Rebecca, Lai, Changxin, Shade, Julie K., Wu, Katherine C., Maggioni, Mauro, Trayanova, Natalia A.
Published in Cardiovascular digital health journal (01.02.2022)
Published in Cardiovascular digital health journal (01.02.2022)
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Improving risk prediction for pulmonary embolism in COVID‐19 patients using echocardiography
Satoskar, Monika A., Metkus, Thomas, Soleimanifard, Alborz, Shade, Julie K., Trayanova, Natalia A., Michos, Erin D., Mukherjee, Monica, Schiminger, Madeline, Post, Wendy S., Hays, Allison G.
Published in Pulmonary circulation (01.01.2022)
Published in Pulmonary circulation (01.01.2022)
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Natriuretic Peptide Levels and Clinical Outcomes Among Patients Hospitalized With Coronavirus Disease 2019 Infection
Aslam, M Imran, Minhas, Anum, Ghorbani, Anahita, Shade, Julie K, Jani, Vivek, Hsu, Steven, Sharma, Kavita, Cihakova, Daniela, Hays, Allison G, Gilotra, Nisha A
Published in Critical care explorations (16.07.2021)
Published in Critical care explorations (16.07.2021)
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Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation
Shade, Julie K, Ali, Rheeda L, Basile, Dante, Popescu, Dan, Akhtar, Tauseef, Marine, Joseph E, Spragg, David D, Calkins, Hugh, Trayanova, Natalia A
Published in Circulation. Arrhythmia and electrophysiology (01.07.2020)
Published in Circulation. Arrhythmia and electrophysiology (01.07.2020)
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Machine learning guided structure function predictions enable in silico nanoparticle screening for polymeric gene delivery
Gong, Dennis, Ben-Akiva, Elana, Singh, Arshdeep, Yamagata, Hannah, Est-Witte, Savannah, Shade, Julie K., Trayanova, Natalia A., Green, Jordan J.
Published in Acta biomaterialia (01.12.2022)
Published in Acta biomaterialia (01.12.2022)
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Ventricular arrhythmia risk prediction in repaired Tetralogy of Fallot using personalized computational cardiac models
Shade, Julie K., Cartoski, Mark J., Nikolov, Plamen, Prakosa, Adityo, Doshi, Ashish, Binka, Edem, Olivieri, Laura, Boyle, Patrick M., Spevak, Philip J., Trayanova, Natalia A.
Published in Heart rhythm (01.03.2020)
Published in Heart rhythm (01.03.2020)
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Effect of HIV Serostatus on ICU Admission and Mortality among Hospitalized Coronavirus Disease 2019 (COVID-19) Patients
Kwapong, Yaa A, Sharma, Garima, Shade, Julie K, Piggott, Damani A, Brown, Todd T, Soleimanifard, Alborz, Wu, Katherine C, Hays, Allison G
Published in Journal of acquired immune deficiency syndromes (1999) (15.08.2022)
Published in Journal of acquired immune deficiency syndromes (1999) (15.08.2022)
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The role of sex and inflammation in cardiovascular outcomes and mortality in COVID-19
Minhas, Anum S., Shade, Julie K., Cho, Sung-Min, Michos, Erin D., Metkus, Thomas, Gilotra, Nisha A., Sharma, Garima, Trayanova, Natalia, Hays, Allison G.
Published in International journal of cardiology (15.08.2021)
Published in International journal of cardiology (15.08.2021)
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Nanoparticle diffusion in spontaneously expectorated sputum as a biophysical tool to probe disease severity in COPD
Chisholm, Jane F, Shenoy, Siddharth K, Shade, Julie K, Kim, Victor, Putcha, Nirupama, Carson, Kathryn A, Wise, Robert, Hansel, Nadia N, Hanes, Justin S, Suk, Jung Soo, Neptune, Enid
Published in The European respiratory journal (01.08.2019)
Published in The European respiratory journal (01.08.2019)
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Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart
Popescu, Dan M, Shade, Julie K, Lai, Changxin, Aronis, Konstantinos N, Ouyang, David, Moorthy, M Vinayaga, Cook, Nancy R, Lee, Daniel C, Kadish, Alan, Albert, Christine M, Wu, Katherine C, Maggioni, Mauro, Trayanova, Natalia A
Published in Nature cardiovascular research (01.04.2022)
Published in Nature cardiovascular research (01.04.2022)
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Predicting risk of sudden cardiac death in patients with cardiac sarcoidosis using multimodality imaging and personalized heart modeling in a multivariable classifier
Shade, Julie K, Prakosa, Adityo, Popescu, Dan M, Yu, Rebecca, Okada, David R, Chrispin, Jonathan, Trayanova, Natalia A
Published in Science advances (01.07.2021)
Published in Science advances (01.07.2021)
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PREDICTION OF ATRIAL FIBRILLATION RECURRENCE AFTER REPEAT ABLATION USING MACHINE LEARNING
Bashar, Syed Khairul, Paliwal, Nikhil, Mao, Yuncong, Shade, Julie K., Popescu, Dan M., Daimee, Usama, Akhtar, Tauseef, Calkins, Hugh, Spragg, David D., Trayanova, Natalia A.
Published in Cardiovascular digital health journal (01.08.2022)
Published in Cardiovascular digital health journal (01.08.2022)
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PO-700-04 PREDICTING RISK OF SUDDEN CARDIAC DEATH BY ARRHYTHMIA IN HYPERTROPHIC CARDIOMYOPATHY PATIENTS BY APPLYING MACHINE LEARNING TO CARDIAC MAGNETIC RESONANCE IMAGES AND CLINICAL COVARIATES
Lai, Changxin, Lai, Changxin, Popescu, Dan M., Shade, Julie K., Engels, Marc, Binka, Edem, Chrispin, Jonathan, Trayanova, Natalia A.
Published in Heart rhythm (01.05.2022)
Published in Heart rhythm (01.05.2022)
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CE-452775-2 MARS-HCM: MULTI-MODAL DEEP LEARNING METHOD FOR VENTRICULAR ARRHYTHMIA (VA) RISK STRATIFICATION IN HYPERTROPHIC CARDIOMYOPATHY (HCM) PATIENTS
Lai, Changxin, Popescu, Dan M., Yin, Minglang, Lu, Daiyin, Shade, Julie K., Engels, Marc, Binka, Edem, zimmerman, stefan, Chrispin, Jonathan, Abraham, M. Roselle, Trayanova, Natalia A.
Published in Heart rhythm (01.05.2023)
Published in Heart rhythm (01.05.2023)
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PO-05-009 COMBINED LEFT AND RIGHT ATRIAL NETWORK (CLARANET): A DEEP LEARNING (DL) MODEL FOR REPRODUCIBLE LGE-MRI AUTOMATIC SEGMENTATION OF LEFT AND RIGHT ATRIA (LA/RA) IN ATRIAL FIBRILLATION (AF) TREATMENT PLANNING
Lefebvre, Arthur, Sakata, Kensuke, Alves Pinto, Carolyna Yamamoto, Vatsaraj, Ishan, Ali, Syed Yusuf, Yu, Rebecca A., Ali, Rheeda L., Bradley, Ryan, Shade, Julie K., Popescu, Dan M., Prakosa, Adityo, Kholmovski, Eugene G., Trayanova, Natalia A.
Published in Heart rhythm (01.05.2024)
Published in Heart rhythm (01.05.2024)
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Abstract 16017: Anatomically-Guided Deep Learning (DL) Approach to Late Gadolinium Enhanced (LGE)-CMR Left Ventricle (LV) Segmentation Enables Efficient and Accurate Clinical Analyses
Abramson, Haley G, Popescu, Dan M, Yu, Rebecca, Lai, Changxin, Shade, Julie K, Wu, Katherine C, Maggioni, Mauro, Trayanova, Natalia A
Published in Circulation (New York, N.Y.) (17.11.2020)
Published in Circulation (New York, N.Y.) (17.11.2020)
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B-YIA1-03 DEVELOPMENT AND VALIDATION OF A MULTI-VARIABLE MODEL FOR REAL-TIME PREDICTION OF CARDIAC ARREST AND OTHER CARDIOVASCULAR (CV) COMPLICATIONS IN HOSPITALIZED PATIENTS WITH COVID-19
Shade, Julie K., Doshi, Ashish N., Sung, Eric, Popescu, Dan M., Minhas, Anum S., Gilotra, Nisha A., Aronis, Konstantinos N., Hays, Allison G., Trayanova, Natalia A.
Published in Heart rhythm (01.08.2021)
Published in Heart rhythm (01.08.2021)
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DH-575-04 ARRHYTHMIC SUDDEN DEATH (SCDA) SURVIVAL PREDICTION USING DEEP LEARNING (DL) ANALYSIS OF CONTRAST-ENHANCED CARDIAC MAGNETIC RESONANCE IMAGING (LGE-CMR)
Popescu, Dan M., Shade, Julie K., Lai, Changxin, Aronis, Konstantinos N., Ouyang, David, Popescu, Dan, Popescu, Dan R., Popescu, Dan C., Kadish, Alan H., Albert, Christine M., Wu, Katherine C., Trayanova, Natalia A.
Published in Heart rhythm (01.05.2022)
Published in Heart rhythm (01.05.2022)
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Pre-Procedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation
Shade, Julie K., Ali, Rheeda L., Basile, Dante, Popescu, Dan, Akhtar, Tauseef, Marine, Joseph E., Spragg, David D., Calkins, Hugh, Trayanova, Natalia A.
Published in Circulation. Arrhythmia and electrophysiology (14.06.2020)
Published in Circulation. Arrhythmia and electrophysiology (14.06.2020)
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