| Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure S Shah, A Henry, C Roselli, H Lin, G Sveinbjörnsson, G Fatemifar, ... Nature communications 11 (1), 163, 2020 | 702 | 2020 |
| Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network S Raghunath, AE Ulloa Cerna, L Jing, DP VanMaanen, J Stough, ... Nature medicine 26 (6), 886-891, 2020 | 281 | 2020 |
| Routinely reported ejection fraction and mortality in clinical practice: where does the nadir of risk lie? GJ Wehner, L Jing, CM Haggerty, JD Suever, JB Leader, DN Hartzel, ... European heart journal 41 (12), 1249-1257, 2020 | 255 | 2020 |
| Deep neural networks can predict new-onset atrial fibrillation from the 12-lead ECG and help identify those at risk of atrial fibrillation–related stroke S Raghunath, JM Pfeifer, AE Ulloa-Cerna, A Nemani, T Carbonati, L Jing, ... Circulation 143 (13), 1287-1298, 2021 | 215 | 2021 |
| Association between titin loss-of-function variants and early-onset atrial fibrillation SH Choi, LC Weng, C Roselli, H Lin, CM Haggerty, MB Shoemaker, ... Jama 320 (22), 2354-2364, 2018 | 188 | 2018 |
| Predicting survival from large echocardiography and electronic health record datasets: optimization with machine learning MD Samad, A Ulloa, GJ Wehner, L Jing, D Hartzel, CW Good, BA Williams, ... JACC: Cardiovascular Imaging 12 (4), 681-689, 2019 | 187 | 2019 |
| Genomics-first evaluation of heart disease associated with titin-truncating variants CM Haggerty, SM Damrauer, MG Levin, D Birtwell, DJ Carey, AM Golden, ... Circulation 140 (1), 42-54, 2019 | 149 | 2019 |
| Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank SJ Jurgens, SH Choi, VN Morrill, M Chaffin, JP Pirruccello, JL Halford, ... Nature genetics 54 (3), 240-250, 2022 | 121 | 2022 |
| Fontan hemodynamics from 100 patient-specific cardiac magnetic resonance studies: a computational fluid dynamics analysis CM Haggerty, M Restrepo, E Tang, DA de Zélicourt, KS Sundareswaran, ... The Journal of thoracic and cardiovascular surgery 148 (4), 1481-1489, 2014 | 117 | 2014 |
| Cardiac remodeling and dysfunction in childhood obesity: a cardiovascular magnetic resonance study L Jing, CM Binkley, JD Suever, N Umasankar, CM Haggerty, J Rich, ... Journal of Cardiovascular Magnetic Resonance 18 (1), 28, 2016 | 88 | 2016 |
| Hemodynamic Modeling of Surgically Repaired Coarctation of the Aorta LJ Olivieri, DA de Zélicourt, CM Haggerty, K Ratnayaka, RR Cross, ... Cardiovascular Engineering and Technology 2, 288-295, 2011 | 86 | 2011 |
| Geometric characterization of patient-specific total cavopulmonary connections and its relationship to hemodynamics E Tang, M Restrepo, CM Haggerty, L Mirabella, J Bethel, KK Whitehead, ... JACC: Cardiovascular Imaging 7 (3), 215-224, 2014 | 83 | 2014 |
| A machine learning approach to management of heart failure populations L Jing, AE Ulloa Cerna, CW Good, NM Sauers, G Schneider, DN Hartzel, ... Heart Failure 8 (7), 578-587, 2020 | 75 | 2020 |
| Predicting deterioration of ventricular function in patients with repaired tetralogy of Fallot using machine learning MD Samad, GJ Wehner, MR Arbabshirani, L Jing, AJ Powell, T Geva, ... European Heart Journal-Cardiovascular Imaging 19 (7), 730-738, 2018 | 69 | 2018 |
| Smooth muscle cell deletion of low-density lipoprotein receptor–related protein 1 augments angiotensin II–induced superior mesenteric arterial and ascending aortic aneurysms FM Davis, DL Rateri, A Balakrishnan, DA Howatt, DK Strickland, ... Arteriosclerosis, thrombosis, and vascular biology 35 (1), 155-162, 2015 | 69 | 2015 |
| Individualized computer-based surgical planning to address pulmonary arteriovenous malformations in patients with a single ventricle with an interrupted inferior vena cava and … DA de Zelicourt, CM Haggerty, KS Sundareswaran, BS Whited, ... The Journal of Thoracic and Cardiovascular Surgery, 2011 | 69 | 2011 |
| Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure MG Levin, NL Tsao, P Singhal, C Liu, HMT Vy, I Paranjpe, JD Backman, ... Nature Communications 13 (1), 6914, 2022 | 68 | 2022 |
| Comparing pre-and post-operative Fontan hemodynamic simulations: implications for the reliability of surgical planning CM Haggerty, DA de Zélicourt, M Restrepo, J Rossignac, TL Spray, ... Annals of biomedical engineering 40, 2639-2651, 2012 | 67 | 2012 |
| Numerical, Hydraulic, and Hemolytic Evaluation of an Intravascular Axial Flow Blood Pump to Mechanically Support Fontan Patients AL Throckmorton, JY Kapadia, SG Chopski, SS Bhavsar, WB Moskowitz, ... Annals of biomedical engineering, 1-13, 2011 | 67 | 2011 |
| rECHOmmend: an ECG-based machine learning approach for identifying patients at increased risk of undiagnosed structural heart disease detectable by echocardiography AE Ulloa-Cerna, L Jing, JM Pfeifer, S Raghunath, JA Ruhl, DB Rocha, ... Circulation 146 (1), 36-47, 2022 | 64 | 2022 |
Brandon FornwaltTempusایمیل تأیید شده در gatech.edu