Stephanie Helman

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 10 papers. Top paper: “Performance and limitations of automated ECG interpretation statements in patients with suspected acute coronary syndrome”.

Performance and limitations of automated ECG interpretation statements in patients with suspected acute coronary syndrome

Journal of Electrocardiology(2021)10.1016/j.jelectrocard.2021.08.014

N/A

0.995DataRank · unranked

19 citations

Stephanie Helman, Abdullah Ahmad, Christian Martin‐Gill, Clifton W. Callaway, Samir Saba +4 more

Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome

Journal of Electrocardiology(2021)10.1016/j.jelectrocard.2021.07.012

N/A

0DataRank · unranked

18 citations

Ziad Faramand, Richard E. Gregg, Stephanie Helman, Christian Martin‐Gill, Samir Saba +4 more

Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction

Nature Medicine(2023)10.1038/s41591-023-02396-3

N/A

0DataRank · unranked

273 citations

Christian Martin‐Gill, Jessica K. Zègre‐Hemsey, Zeineb Bouzid, Ziad Faramand, Mohammad Alrawashdeh +14 more

Engaging Multidisciplinary Clinical Users in the Design of an Artificial Intelligence–Powered Graphical User Interface for Intensive Care Unit Instability Decision Support

Applied Clinical Informatics(2023)10.1055/s-0043-1775565

N/A

0DataRank · unranked

16 citations

Martha Ann Terry, Tiffany Pellathy, Marilyn Hravnak, Elisabeth George, Salah S. Al‐Zaiti +2 more

Machine Learning for the ECG Diagnosis and Risk Stratification of Occlusion Myocardial Infarction at First Medical Contact

Research Square(2023)10.21203/rs.3.rs-2510930/v1

N/A

0DataRank · unranked

4 citations

Christian Martin‐Gill, Jessica K. Zègre‐Hemsey, Zeineb Bouzid, Ziad Faramand, Mohammad Alrawashdeh +14 more

ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction

arXiv (Cornell University)(2024)10.48550/arxiv.2405.09567

N/A

0DataRank · unranked

4 citations

Murat Akçakaya, Zeineb Bouzid, Tanmay Gokhale, Stephanie Helman, Karina Kraevsky-Philips +8 more

Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome

European Heart Journal(2025)10.1093/eurheartj/ehae880

N/A

0DataRank · unranked

17 citations

Ervin Sejdić, Christian Martin‐Gill, Ziad Faramand, Stephanie Frisch, Mohammad Alrawashdeh +13 more

ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction

IEEE Transactions on Biomedical Engineering(2025)10.1109/tbme.2025.3573581

N/A

0DataRank · unranked

13 citations

Murat Akçakaya, Zeineb Bouzid, Tanmay Gokhale, Stephanie Helman, Karina Kraevsky-Philips +8 more

Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside

International Journal of Medical Informatics(2021)10.1016/j.ijmedinf.2021.104643

N/A

0DataRank · unranked

29 citations

Martha Ann Terry, Tiffany Pellathy, Andrew Williams, Artur Dubrawski, Gilles Clermont +4 more

Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction

UNC Libraries(2025)10.17615/8pan-gb72

N/A

0DataRank · unranked

0 citations

Zeineb Bouzid, Karina Kraevsky-Phillips, Ziad Faramand, Mohammad Alrawashdeh, Jessica K. Zègre‐Hemsey +14 more