| 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 | 163 | 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 | 121 | 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 | 35 | 2022 |
| Safety of nonsteroidal anti‐inflammatory drugs in major gastrointestinal surgery: a prospective, multicenter cohort study STARSurg Collaborative, Z Abbas, S Abburu, MK Abd Ghaffar, ... World journal of surgery 41 (1), 47-55, 2017 | 22 | 2017 |
| 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 |
| 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 | 7 | 2023 |
| Cohort design and natural language processing to reduce bias in electronic health records research: The Community Care Cohort Project S Khurshid, C Reeder, LX Harrington, P Singh, G Sarma, SF Friedman, ... medRxiv, 2021.05. 26.21257872, 2021 | 7 | 2021 |
| High resolution mapping of enhancer-promoter interactions C Reeder, M Closser, HM Poh, K Sandhu, H Wichterle, D Gifford Plos one 10 (5), e0122420, 2015 | 7 | 2015 |
| Artificial intelligence–enabled classification of hypertrophic heart diseases using electrocardiograms JS Haimovich, N Diamant, S Khurshid, P Di Achille, C Reeder, ... Cardiovascular Digital Health Journal 4 (2), 48-59, 2023 | 5 | 2023 |
| Deep learning on resting electrocardiogram to identify impaired heart rate recovery N Diamant, P Di Achille, LC Weng, ES Lau, S Khurshid, S Friedman, ... Cardiovascular Digital Health Journal 3 (4), 161-170, 2022 | 5 | 2022 |
| Interpreting chromosome aberration spectra D Levy, C Reeder, B Loucas, L Hlatky, A Chen, M Cornforth, R Sachs Journal of Computational Biology 14 (2), 144-155, 2007 | 5 | 2007 |
| 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 | 4 | 2022 |
| A novel computational method for inferring dynamic genetic regulatory trajectories CC Reeder Massachusetts Institute of Technology, 2008 | 4 | 2008 |
| 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 | 3 | 2024 |
| 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 | 3 | 2023 |
| Natural language processing for adjudication of heart failure in the electronic health record JW Cunningham, P Singh, C Reeder, ES Lau, S Khurshid, X Wang, ... Heart Failure 11 (7), 852-854, 2023 | 3 | 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 | 3 | 2022 |
| 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 |
| High Resolution Modeling of Chromatin Interactions C Reeder, D Gifford Research in Computational Molecular Biology, 186-198, 2013 | 2 | 2013 |
| A Machine Learning Approach to Automate Ischemic Stroke Subtyping (N2. 001) A Turner, W Spurlock, L Harrington, S Khurshid, M Al-Alusi, C Reeder, ... Neurology 98 (18 Supplement), 2022 | 1 | 2022 |
