Aaron D. Aguirre

According to our database, Aaron D. Aguirre authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Unlocking Telemetry Potential: Self-Supervised Learning for Continuous Clinical Electrocardiogram Monitoring.

Thomas Kite, Uzair Tahamid Siam, Brian Ayers, Nicholas Houstis, Aaron D. Aguirre

CoRR, 2024

Detecting QT prolongation From a Single-lead ECG With Deep Learning.

Ridwan Alam, Aaron D. Aguirre, Collin M. Stultz

CoRR, 2024

2023

QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG.

Ridwan Alam, Aaron D. Aguirre, Collin M. Stultz

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Machine Learning for Arterial Blood Pressure Prediction.

Jessica Zheng, Hanrui Wang, Anand Chandrasekhar, Aaron D. Aguirre, Song Han, Hae-Seung Lee, Charles G. Sodini

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling.

Nathaniel Diamant, Erik Reinertsen, Steven Song, Aaron D. Aguirre, Collin M. Stultz, Puneet Batra

PLoS Comput. Biol., 2022

2021

Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling.

Nathaniel Diamant, Erik Reinertsen, Steven Song, Aaron D. Aguirre, Collin M. Stultz, Puneet Batra

CoRR, 2021