Machine learning in arrhythmia and electrophysiology NA Trayanova, DM Popescu, JK Shade Circulation research 128 (4), 544-566, 2021 | 89 | 2021 |
Preprocedure application of machine learning and mechanistic simulations predicts likelihood of paroxysmal atrial fibrillation recurrence following pulmonary vein isolation JK Shade, RL Ali, D Basile, D Popescu, T Akhtar, JE Marine, DD Spragg, ... Circulation: Arrhythmia and Electrophysiology 13 (7), e008213, 2020 | 84 | 2020 |
Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart DM Popescu, JK Shade, C Lai, KN Aronis, D Ouyang, MV Moorthy, ... Nature Cardiovascular Research 1 (4), 334-343, 2022 | 59 | 2022 |
Predicting risk of sudden cardiac death in patients with cardiac sarcoidosis using multimodality imaging and personalized heart modeling in a multivariable classifier JK Shade, A Prakosa, DM Popescu, R Yu, DR Okada, J Chrispin, ... Science Advances 7 (31), eabi8020, 2021 | 42 | 2021 |
Anatomically informed deep learning on contrast-enhanced cardiac magnetic resonance imaging for scar segmentation and clinical feature extraction DM Popescu, HG Abramson, R Yu, C Lai, JK Shade, KC Wu, M Maggioni, ... Cardiovascular Digital Health Journal 3 (1), 2-13, 2022 | 33* | 2022 |
Ergodicity, hidden bias and the growth rate gain ND Rochman, DM Popescu, SX Sun Physical biology 15 (3), 036006, 2018 | 15 | 2018 |
Lassnet: A four steps deep neural network for left atrial segmentation and scar quantification AL Lefebvre, CAP Yamamoto, JK Shade, RP Bradley, RA Yu, RL Ali, ... Challenge on Left Atrial and Scar Quantification and Segmentation, 1-15, 2022 | 11 | 2022 |
Building the space elevator: lessons from biological design DM Popescu, SX Sun Journal of The Royal Society Interface 15 (147), 20180086, 2018 | 7 | 2018 |
Real-time prediction of mortality, cardiac arrest, and thromboembolic complications in hospitalized patients with COVID-19 JK Shade, AN Doshi, E Sung, DM Popescu, AS Minhas, NA Gilotra, ... JACC: Advances 1 (2), 100043, 2022 | 6 | 2022 |
A Kramers-Moyal Approach to the Analysis of Third-order noise with applications in option valuation DM Popescu, O Lipan PloS one 10 (1), e0116752, 2015 | 3 | 2015 |
COVID-HEART: development and validation of a multi-variable model for real-time prediction of cardiovascular complications in hospitalized patients with COVID-19 JK Shade, AN Doshi, E Sung, DM Popescu, AS Minhas, NA Gilotra, ... medRxiv, 2021.01. 03.21249182, 2021 | 2 | 2021 |
PO-02-095 MAARS-HCM: MULTI-MODAL ARTIFICIAL INTELLIGENCE (AI) FOR VENTRICULAR ARRHYTHMIA (VA) RISK STRATIFICATION IN HYPERTROPHIC CARDIOMYOPATHY (HCM) PATIENTS C Lai, M Yin, DM Popescu, DY Lu, E Scherer, M Engels, E Binka, ... Heart Rhythm 21 (5), S300, 2024 | | 2024 |
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 … A Lefebvre, K Sakata, CYA Pinto, I Vatsaraj, SY Ali, AY Rebecca, RL Ali, ... Heart Rhythm 21 (5), S553-S554, 2024 | | 2024 |
Anatomically-informed deep learning on contrast-enhanced cardiac mri for scar segmentation and clinical feature extraction NA Trayanova, HG Abramson, D Popescu, M Maggioni US Patent App. 18/249,583, 2023 | | 2023 |
CE-452775-2 MARS-HCM: MULTI-MODAL DEEP LEARNING METHOD FOR VENTRICULAR ARRHYTHMIA (VA) RISK STRATIFICATION IN HYPERTROPHIC CARDIOMYOPATHY (HCM) PATIENTS C Lai, DM Popescu, M Yin, D Lu, JK Shade, M Engels, E Binka, J Chrispin, ... Heart Rhythm 20 (5), S46-S47, 2023 | | 2023 |
PREDICTION OF ATRIAL FIBRILLATION RECURRENCE AFTER REPEAT ABLATION USING MACHINE LEARNING SK Bashar, N Paliwal, Y Mao, JK Shade, DM Popescu, U Daimee, ... Cardiovascular Digital Health Journal 3 (4), S14, 2022 | | 2022 |
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 … C Lai, DM Popescu, JK Shade, M Engels, E Binka, J Chrispin, ... Heart Rhythm 19 (5), S435, 2022 | | 2022 |
DH-575-04 ARRHYTHMIC SUDDEN DEATH (SCDA) SURVIVAL PREDICTION USING DEEP LEARNING (DL) ANALYSIS OF CONTRAST-ENHANCED CARDIAC MAGNETIC RESONANCE IMAGING (LGE-CMR) DM Popescu, JK Shade, C Lai, KN Aronis, D Ouyang, D Popescu, ... Heart Rhythm 19 (5), S22, 2022 | | 2022 |
Author Correction: Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart DM Popescu, JK Shade, C Lai, KN Aronis, D Ouyang, MV Moorthy, ... Nature Cardiovascular Research 1 (5), 532, 2022 | | 2022 |
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 … JK Shade, AN Doshi, E Sung, DM Popescu, AS Minhas, NA Gilotra, ... Heart Rhythm 18 (8), S49, 2021 | | 2021 |