| 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 | 213 | 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 | 149 | 2021 |
| 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 | 84 | 2022 |
| Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality AE Ulloa Cerna, L Jing, CW Good, DP vanMaanen, S Raghunath, ... Nature Biomedical Engineering 5 (6), 546-554, 2021 | 47 | 2021 |
| Development of antipsychotic medications with novel mechanisms of action based on computational modeling of hippocampal neuropathology PJ Siekmeier, DP vanMaanen PloS one 8 (3), e58607, 2013 | 24 | 2013 |
| Dopaminergic Contributions to Hippocampal Pathophysiology in Schizophrenia: A Computational Study PJ Siekmeier, DP vanMaanen Neuropsychopharmacology, 2014 | 14 | 2014 |
| Deep neural networks can predict 1-year mortality directly from ECG signal, even when clinically interpreted as normal SM Raghunath, A Ulloa Cerna, L Jing, D Vanmaanen, JV Stough, ... Circulation 140 (Suppl_1), A14425-A14425, 2019 | 10 | 2019 |
| Interpretable neural networks for predicting mortality risk using multi-modal electronic health records AEU Cerna, M Pattichis, DP VanMaanen, L Jing, AA Patel, JV Stough, ... arXiv preprint arXiv:1901.08125, 2019 | 7 | 2019 |
| Generalizability and quality control of deep learning-based 2D echocardiography segmentation models in a large clinical dataset X Zhang, AEU Cerna, JV Stough, Y Chen, BJ Carry, A Alsaid, ... The International Journal of Cardiovascular Imaging 38 (8), 1685-1697, 2022 | 5 | 2022 |
| Deep Neural Networks can Predict Incident Atrial Fibrillation from the 12-lead Electrocardiogram and may help Prevent Associated Strokes S Raghunath, JM Pfeifer, AE Ulloa-Cerna, A Nemani, T Carbonati, L Jing, ... MedRxiv, 2020.04. 23.20067967, 2020 | 4 | 2020 |
| A deep neural network to enhance prediction of 1-year mortality using echocardiographic videos of the heart A Ulloa, L Jing, CW Good, DP vanMaanen, S Raghunath, JD Suever, ... arXiv preprint arXiv:1811.10553, 2018 | 4 | 2018 |
| Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data S Raghunath, AEU Cerna, L Jing, DP vanMaanen, J Stough, DN Hartzel, ... arXiv preprint arXiv:1904.07032, 2019 | 3 | 2019 |
| A deep neural network for predicting incident atrial fibrillation directly from 12-lead electrocardiogram traces SM Raghunath, A Ulloa Cerna, L Jing, D Vanmaanen, JV Stough, ... Circulation 140 (Suppl_1), A14407-A14407, 2019 | 2 | 2019 |
| Treatment of Dopaminergic Dysfunction in Schizophrenia Using Non-dopaminergic Mechanisms: A Computational Modeling Approach PJ Siekmeier, D vanMaanen NEUROPSYCHOPHARMACOLOGY 38, S270-S270, 2013 | 1 | 2013 |
| DELINEATE-MR: DEEP LEARNING FOR AUTOMATED ASSESSMENT OF MITRAL REGURGITATION FROM ECHOCARDIOGRAPHY T Poterucha, A Long, A Keivani, L Jing, C Kelsey, D Hartzel, D Rocha, ... Journal of the American College of Cardiology 83 (13_Supplement), 2124-2124, 2024 | | 2024 |
| ECHOSTAR DEEP LEARNING SYSTEM: A COMPREHENSIVE ANALYSIS OF AORTIC VALVE FROM ECHO DOPPLER IMAGES T Poterucha, A Keivani, A Long, D Vanmaanen, L Jing, D Rocha, ... Journal of the American College of Cardiology 83 (13_Supplement), 2202-2202, 2024 | | 2024 |
| Deep Learning Prediction of New-Onset Atrial Fibrillation Using Echocardiography Videos AE Ulloa Cerna, S Raghunath, D Vanmaanen, J Ruhl, B Fornwalt, ... Circulation 146 (Suppl_1), A11000-A11000, 2022 | | 2022 |
| An ECG-Based Machine Learning Model for Predicting New Onset Atrial Fibrillation is Superior to Age and Clinical Variables in Selecting a Population at High Stroke Risk J Pfeifer, S Raghunath, C Kelsey, J Ruhl, D Hartzel, A Ulloa Cerna, L Jing, ... Circulation 144 (Suppl_1), A9756-A9756, 2021 | | 2021 |
| Automatic Multi-structural Cardiac Segmentation of 2d Echocardiography With Convolutional Neural Networks X Zhang, JV Stough, SM Raghunath, A Ulloa Cerna, D Vanmaanen, ... Circulation 142 (Suppl_3), A15393-A15393, 2020 | | 2020 |
| A Multi-view Echocardiography Video Deep Learning Model Outperforms the Seattle Heart Failure Model in Predicting Mortality A Ulloa, L Jing, B Carry, C Good, D Vanmaanen, D Hartzel, J Leader, ... Circulation 142 (Suppl_3), A312-A312, 2020 | | 2020 |
