Michael A. Rosenberg

According to our database, Michael A. Rosenberg authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Encoder-Free ECG-Language Models.

William Han, Tony Chen, Chaojing Duan, Xiaoyu Song, Yihang Yao, Yuzhe Yang, Michael A. Rosenberg, Emerson Liu, Ding Zhao

CoRR, January, 2026

2025

Retrieval-Augmented Generation for Electrocardiogram-Language Models.

Xiaoyu Song, William Han, Tony Chen, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Ding Zhao

CoRR, October, 2025

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework.

William Han, Chaojing Duan, Zhepeng Cen, Yihang Yao, Xiaoyu Song, Atharva Mhaskar, Dylan Leong, Michael A. Rosenberg, Emerson Liu, Ding Zhao

CoRR, May, 2025

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling.

William Han, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Ding Zhao

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2024

Interpretation of Intracardiac Electrograms Through Textual Representations.

William Jongwon Han, Diana Gómez, Avi Alok, Chaojing Duan, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao

CoRR, 2024

Interpretation of Intracardiac Electrograms Through Textual Representations.

William Han, Diana Guadalupe Gomez, Avi Alok, Chaojing Duan, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao

Proceedings of the Conference on Health, 2024

2023

Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding.

Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

CoRR, 2023

Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report.

Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

Proceedings of the Machine Learning for Health, 2023

Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation.

Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Peide Huang, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao

Proceedings of the IEEE International Conference on Acoustics, 2023

Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?

Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction.

Jielin Qiu, Jiacheng Zhu, Michael A. Rosenberg, Emerson Liu, Ding Zhao

CoRR, 2022

GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction.

Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao

Proceedings of the Machine Learning for Healthcare Conference, 2022

2021

Assessing Prescriber Behavior with a Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome.

Katy E. Trinkley, Jonathan Michael Pell, Dario D. Martinez, Nicola R. Maude, Gary Hale, Michael A. Rosenberg

Appl. Clin. Inform., 2021

2020

Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data.

Divneet Mandair, Premanand Tiwari, Steven Simon, Kathryn L. Colborn, Michael A. Rosenberg

BMC Medical Informatics Decis. Mak., 2020