Bashar Ramadan

According to our database, Bashar Ramadan authored at least 7 papers between 2025 and 2026.

Collaborative distances:

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

2026

Representation Before Training: A Fixed-Budget Benchmark for Generative Medical Event Models.

Inhyeok Lee, Luke Solo, Michael C. Burkhart, Bashar Ramadan, William F. Parker, Brett K. Beaulieu-Jones

CoRR, April, 2026

Efficient Variance-reduced Estimation from Generative EHR Models: The SCOPE and REACH Estimators.

Luke Solo, Matthew B. A. McDermott, William F. Parker, Bashar Ramadan, Michael C. Burkhart, Brett K. Beaulieu-Jones

CoRR, February, 2026

Advancing healthcare AI governance through a comprehensive maturity model based on systematic review.

Rowan Hussein, Anna Zink, Bashar Ramadan, Frederick M. Howard, Maia Hightower, Sachin Shah, Brett K. Beaulieu-Jones

npj Digit. Medicine, 2026

2025

Prototype Learning to Create Refined Interpretable Digital Phenotypes from ECGs.

Sahil Sethi, David Chen, Michael C. Burkhart, Nipun Bhandari, Bashar Ramadan, Brett K. Beaulieu-Jones

CoRR, August, 2025

Quantifying surprise in clinical care: Detecting highly informative events in electronic health records with foundation models.

Michael C. Burkhart, Bashar Ramadan, Luke Solo, William F. Parker, Brett K. Beaulieu-Jones

CoRR, July, 2025

Foundation models for electronic health records: representation dynamics and transferability.

Michael C. Burkhart, Bashar Ramadan, Zewei Liao, Kaveri Chhikara, Juan C. Rojas, William F. Parker, Brett K. Beaulieu-Jones

CoRR, April, 2025

ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning.

Sahil Sethi, David Chen, Thomas Statchen, Michael C. Burkhart, Nipun Bhandari, Bashar Ramadan, Brett K. Beaulieu-Jones

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