| A digital biomarker of diabetes from smartphone-based vascular signals R Avram, JE Olgin, P Kuhar, JW Hughes, GM Marcus, MJ Pletcher, ... Nature medicine 26 (10), 1576-1582, 2020 | 79 | 2020 |
| Performance of a convolutional neural network and explainability technique for 12-Lead electrocardiogram interpretation JW Hughes, JE Olgin, R Avram, SA Abreau, T Sittler, K Radia, H Hsia, ... JAMA cardiology, 2021 | 73 | 2021 |
| Deep learning electrocardiographic analysis for detection of left-sided valvular heart disease P Elias, TJ Poterucha, V Rajaram, LM Moller, V Rodriguez, S Bhave, ... Journal of the American College of Cardiology 80 (6), 613-626, 2022 | 48 | 2022 |
| Generating better search engine text advertisements with deep reinforcement learning JW Hughes, K Chang, R Zhang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 45 | 2019 |
| Deep learning evaluation of biomarkers from echocardiogram videos JW Hughes, N Yuan, B He, J Ouyang, J Ebinger, P Botting, J Lee, ... EBioMedicine 73, 2021 | 41 | 2021 |
| Multimodal deep learning enhances diagnostic precision in left ventricular hypertrophy JT Soto, J Weston Hughes, PA Sanchez, M Perez, D Ouyang, EA Ashley European Heart Journal-Digital Health 3 (3), 380-389, 2022 | 17 | 2022 |
| Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study D Ouyang, J Theurer, NR Stein, JW Hughes, P Elias, B He, N Yuan, ... The Lancet Digital Health 6 (1), e70-e78, 2024 | 15* | 2024 |
| Deep learning-based electrocardiographic screening for chronic kidney disease L Holmstrom, M Christensen, N Yuan, J Weston Hughes, J Theurer, ... Communications Medicine 3 (1), 73, 2023 | 13 | 2023 |
| A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease JW Hughes, J Tooley, J Torres Soto, A Ostropolets, T Poterucha, ... npj Digital Medicine 6 (1), 169, 2023 | 8 | 2023 |
| Genetic architecture of cardiac dynamic flow volumes B Gomes, A Singh, JW O’Sullivan, TM Schnurr, PC Goddard, S Loong, ... Nature Genetics 56 (2), 245-257, 2024 | 4 | 2024 |
| Race, sex, and age disparities in the performance of ECG deep learning models predicting heart failure D Kaur, JW Hughes, AJ Rogers, G Kang, SM Narayan, EA Ashley, ... Circulation: Heart Failure 17 (1), e010879, 2024 | 4 | 2024 |
| Epitome: predicting epigenetic events in novel cell types with multi-cell deep ensemble learning AK Morrow, JW Hughes, J Singh, AD Joseph, N Yosef Nucleic acids research 49 (19), e110-e110, 2021 | 3 | 2021 |
| Epistasis regulates genetic control of cardiac hypertrophy Q Wang, TM Tang, N Youlton, CS Weldy, AM Kenney, O Ronen, ... Research Square, 2023 | 1 | 2023 |
| Development and Validation of a Rapid Visual Technique for Left Ventricular Hypertrophy Detection from the Electrocardiogram S Somani, JW Hughes, EA Ashley, RM Witteles, MV Perez Frontiers in Cardiovascular Medicine 10, 1251511, 2023 | 1 | 2023 |
| Simple Models Versus Deep Learning in Detecting Low Ejection Fraction From The Electrocardiogram JW Hughes, S Somani, P Elias, J Tooley, AJ Rogers, T Poterucha, ... European Heart Journal-Digital Health, ztae034, 2024 | | 2024 |
| The Impact of Task Set-up in Algorithm Design: Regression versus Classification A Vrudhula, JW Hughes, N Yuan, D Ouyang NEJM AI 1 (4), AIcs2300176, 2024 | | 2024 |
| Systems and Methods for Evaluating Cardiovascular Disease Risks JW Hughes, J Zou, EA Ashley, MV Perez US Patent App. 18/309,648, 2023 | | 2023 |
| Generating electronic summary documents for landing pages KH Chang, R Zhang, JW Hughes US Patent 11,449,536, 2022 | | 2022 |
