Hasil Pencarian - Kayvan Najarian

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  1. 1
    Biomedical Engineering and Computational Biology

    Biomedical Engineering and Computational Biology oleh Kayvan Najarian

    Diterbitkan 2009-01-01
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  2. 2
    Mechanistic Assessment of Cardiovascular State Informed by Vibroacoustic Sensors

    Mechanistic Assessment of Cardiovascular State Informed by Vibroacoustic Sensors oleh Ali Zare, Emily Wittrup, Kayvan Najarian

    Diterbitkan 2024-03-01
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  3. 3
    Leveraging Multi-Annotator Label Uncertainties as Privileged Information for Acute Respiratory Distress Syndrome Detection in Chest X-ray Images

    Leveraging Multi-Annotator Label Uncertainties as Privileged Information for Acute Respiratory Distress Syndrome Detection in Chest X-ray Images oleh Zijun Gao, Emily Wittrup, Kayvan Najarian

    Diterbitkan 2024-01-01
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  4. 4
    A proximity-based graph clustering method for the identification and application of transcription factor clusters

    A proximity-based graph clustering method for the identification and application of transcription factor clusters oleh Maxwell Spadafore, Kayvan Najarian, Alan P. Boyle

    Diterbitkan 2017-11-01
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  5. 5
    Biomedical Informatics for Computer-Aided Decision Support Systems: A Survey

    Biomedical Informatics for Computer-Aided Decision Support Systems: A Survey oleh Ashwin Belle, Mark A. Kon, Kayvan Najarian

    Diterbitkan 2013-01-01
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  6. 6
    Three-Stage Framework for Accurate Pediatric Chest X-ray Diagnosis Using Self-Supervision and Transfer Learning on Small Datasets

    Three-Stage Framework for Accurate Pediatric Chest X-ray Diagnosis Using Self-Supervision and Transfer Learning on Small Datasets oleh Yufeng Zhang, Joseph Kohne, Emily Wittrup, Kayvan Najarian

    Diterbitkan 2024-07-01
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  7. 7
    Bioinformatics and Biomedical Informatics

    Bioinformatics and Biomedical Informatics oleh Kayvan Najarian, Rachid Deriche, Mark A. Kon, Nina S. T. Hirata

    Diterbitkan 2013-01-01
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  8. 8
    A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication

    A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication oleh Negar Farzaneh, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian

    Diterbitkan 2021-05-01
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  9. 9
    Game Theoretic Approach for Systematic Feature Selection; Application in False Alarm Detection in Intensive Care Units

    Game Theoretic Approach for Systematic Feature Selection; Application in False Alarm Detection in Intensive Care Units oleh Fatemeh Afghah, Abolfazl Razi, Reza Soroushmehr, Hamid Ghanbari, Kayvan Najarian

    Diterbitkan 2018-03-01
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  10. 10
    Increasing efficiency of SVMp+ for handling missing values in healthcare prediction.

    Increasing efficiency of SVMp+ for handling missing values in healthcare prediction. oleh Yufeng Zhang, Zijun Gao, Emily Wittrup, Jonathan Gryak, Kayvan Najarian

    Diterbitkan 2023-06-01
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  11. 11
    Feasibility Study For In-Vehicle Detection of Severe Cardiac Events

    Feasibility Study For In-Vehicle Detection of Severe Cardiac Events oleh Kelsey Horan, Reza Soroushmehr, Pujitha Gunaratne, Kazutoshi Ebe, Kayvan Najarian

    Diterbitkan 2018-10-01
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  12. 12
    Quadratic Multilinear Discriminant Analysis for Tensorial Data Classification

    Quadratic Multilinear Discriminant Analysis for Tensorial Data Classification oleh Cristian Minoccheri, Olivia Alge, Jonathan Gryak, Kayvan Najarian, Harm Derksen

    Diterbitkan 2023-02-01
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  13. 13
    Integration of Attributes from Non-Linear Characterization of Cardiovascular Time-Series for Prediction of Defibrillation Outcomes.

    Integration of Attributes from Non-Linear Characterization of Cardiovascular Time-Series for Prediction of Defibrillation Outcomes. oleh Sharad Shandilya, Michael C Kurz, Kevin R Ward, Kayvan Najarian

    Diterbitkan 2016-01-01
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  14. 14
    Automated Spleen Injury Detection Using 3D Active Contours and Machine Learning

    Automated Spleen Injury Detection Using 3D Active Contours and Machine Learning oleh Julie Wang, Alexander Wood, Chao Gao, Kayvan Najarian, Jonathan Gryak

    Diterbitkan 2021-03-01
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  15. 15
    A Comparison of Interpretable Machine Learning Approaches to Identify Outpatient Clinical Phenotypes Predictive of First Acute Myocardial Infarction

    A Comparison of Interpretable Machine Learning Approaches to Identify Outpatient Clinical Phenotypes Predictive of First Acute Myocardial Infarction oleh Matthew Hodgman, Cristian Minoccheri, Michael Mathis, Emily Wittrup, Kayvan Najarian

    Diterbitkan 2024-08-01
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  16. 16
    AI-Based Decision Support System for Traumatic Brain Injury: A Survey

    AI-Based Decision Support System for Traumatic Brain Injury: A Survey oleh Flora Rajaei, Shuyang Cheng, Craig A. Williamson, Emily Wittrup, Kayvan Najarian

    Diterbitkan 2023-05-01
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  17. 17
    A deep learning framework for automated detection and quantitative assessment of liver trauma

    A deep learning framework for automated detection and quantitative assessment of liver trauma oleh Negar Farzaneh, Erica B. Stein, Reza Soroushmehr, Jonathan Gryak, Kayvan Najarian

    Diterbitkan 2022-03-01
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  18. 18
    Sepsis Trajectory Prediction Using Privileged Information and Continuous Physiological Signals

    Sepsis Trajectory Prediction Using Privileged Information and Continuous Physiological Signals oleh Olivia P. Alge, Jonathan Gryak, J. Scott VanEpps, Kayvan Najarian

    Diterbitkan 2024-01-01
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  19. 19
    Signal quality measure for pulsatile physiological signals using morphological features: Applications in reliability measure for pulse oximetry

    Signal quality measure for pulsatile physiological signals using morphological features: Applications in reliability measure for pulse oximetry oleh Elyas Sabeti, Narathip Reamaroon, Michael Mathis, Jonathan Gryak, Michael Sjoding, Kayvan Najarian

    Diterbitkan 2019-01-01
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  20. 20
    Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data

    Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data oleh Yufeng Zhang, Jessica R. Golbus, Emily Wittrup, Keith D. Aaronson, Kayvan Najarian

    Diterbitkan 2024-02-01
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