| Saltatory remodeling of Hox chromatin in response to rostrocaudal patterning signals EO Mazzoni, S Mahony, M Peljto, T Patel, SR Thornton, S McCuine, ... Nature neuroscience 16 (9), 1191-1198, 2013 | 168 | 2013 |
| ECG-based deep learning and clinical risk factors to predict atrial fibrillation S Khurshid, S Friedman, C Reeder, P Di Achille, N Diamant, P Singh, ... Circulation 145 (2), 122-133, 2022 | 161 | 2022 |
| Cohort design and natural language processing to reduce bias in electronic health records research S Khurshid, C Reeder, LX Harrington, P Singh, G Sarma, SF Friedman, ... Npj Digital Medicine 5 (1), 47, 2022 | 51 | 2022 |
| Genetic susceptibility to atrial fibrillation identified via deep learning of 12-lead electrocardiograms X Wang, S Khurshid, SH Choi, S Friedman, LC Weng, C Reeder, ... Circulation: Genomic and Precision Medicine 16 (4), 340-349, 2023 | 13 | 2023 |
| Deep learning–enabled assessment of left heart structure and function predicts cardiovascular outcomes ES Lau, P Di Achille, K Kopparapu, CT Andrews, P Singh, C Reeder, ... Journal of the American College of Cardiology 82 (20), 1936-1948, 2023 | 12 | 2023 |
| Electrocardiogram-Based Deep Learning and Clinical Risk Factors to Predict Incident Atrial Fibrillation S Khurshid, S Friedman, C Reeder, P Di Achille, N Diamant, P Singh, ... Circulation 144 (Suppl_1), A12922-A12922, 2021 | 12 | 2021 |
| Natural language processing for adjudication of heart failure in a multicenter clinical trial: a secondary analysis of a randomized clinical trial JW Cunningham, P Singh, C Reeder, B Claggett, PM Marti-Castellote, ... JAMA cardiology 9 (2), 174-181, 2024 | 11 | 2024 |
| Physiology as a Lingua Franca for clinical machine learning GP Sarma, E Reinertsen, A Aguirre, C Anderson, P Batra, SH Choi, ... Patterns 1 (2), 2020 | 11 | 2020 |
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| One clinician is all you need–cardiac magnetic resonance imaging measurement extraction: Deep learning algorithm development P Singh, J Haimovich, C Reeder, S Khurshid, ES Lau, JW Cunningham, ... JMIR Medical Informatics 10 (9), e38178, 2022 | 6 | 2022 |
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| A novel computational method for inferring dynamic genetic regulatory trajectories CC Reeder Massachusetts Institute of Technology, 2008 | 4 | 2008 |
| Deep learned representations of the resting 12-lead electrocardiogram to predict at peak exercise S Khurshid, TW Churchill, N Diamant, P Di Achille, C Reeder, P Singh, ... European Journal of Preventive Cardiology 31 (2), 252-262, 2024 | 2 | 2024 |
| Natural Language Processing for Adjudication of Heart Failure Hospitalizations in a Multi-Center Clinical Trial JW Cunningham, P Singh, C Reeder, B Claggett, PM Marti-Castellote, ... medRxiv, 2023 | 2 | 2023 |
| Deep Learning of Electrocardiograms Enables Scalable Human Disease Profiling RA Venn, X Wang, SF Friedman, N Diamant, S Khurshid, PD Achille, ... medRxiv, 2022.12. 21.22283757, 2022 | 2 | 2022 |
| High Resolution Modeling of Chromatin Interactions C Reeder, D Gifford Research in Computational Molecular Biology, 186-198, 2013 | 2 | 2013 |
| Frequency of electrocardiogram-defined cardiac conduction disorders in a multi-institutional primary care cohort JS Haimovich, P Di Achille, V Nauffal, P Singh, C Reeder, X Wang, ... JACC: Advances 3 (7_Part_1), 101004, 2024 | 1 | 2024 |
