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Amin Nayebi

Showing results (1-10 of 7) with videos related to

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AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain InjuryAmin Nayebi, Sindhu Tipirneni, Brandon Foreman, et al.
Journal of Biomedical Informatics|July 6, 2023
WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley valuesAmin Nayebi, Sindhu Tipirneni, Chandan K Reddy, et al.
Respiratory Care|December 21, 2022
Predicting Failure of Noninvasive Respiratory Support Using Deep Recurrent LearningPatrick T Essay, Jarrod M Mosier, Amin Nayebi, et al.
Journal of Biomedical Informatics|May 24, 2023
A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotypingHamid Ghaderi, Brandon Foreman, Amin Nayebi, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 21, 2022
Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain InjuryAmin Nayebi, Sindhu Tipirneni, Brandon Foreman, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 15, 2024
Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series DataHamid Ghaderi, Brandon Foreman, Amin Nayebi, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 23, 2026
Model Quality in AI-based Bruise Detection: Rethinking IoU and Confidence ThresholdsDharmi Desai, Amin Nayebi, Mehrdad Ghyabi, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain InjuryAmin Nayebi, Sindhu Tipirneni, Brandon Foreman, et al.
Journal of Biomedical Informatics|July 6, 2023
WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley valuesAmin Nayebi, Sindhu Tipirneni, Chandan K Reddy, et al.
Respiratory Care|December 21, 2022
Predicting Failure of Noninvasive Respiratory Support Using Deep Recurrent LearningPatrick T Essay, Jarrod M Mosier, Amin Nayebi, et al.
Journal of Biomedical Informatics|May 24, 2023
A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotypingHamid Ghaderi, Brandon Foreman, Amin Nayebi, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 21, 2022
Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain InjuryAmin Nayebi, Sindhu Tipirneni, Brandon Foreman, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 15, 2024
Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series DataHamid Ghaderi, Brandon Foreman, Amin Nayebi, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 23, 2026
Model Quality in AI-based Bruise Detection: Rethinking IoU and Confidence ThresholdsDharmi Desai, Amin Nayebi, Mehrdad Ghyabi, et al.
Pageof 1