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Jonathan Gryak

Showing results (21-30 of 56) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Comparative Study on Heart Rate Variability Analysis for Atrial Fibrillation Detection in Short Single-Lead ECG RecordingsAn Nguyen, Sardar Ansari, Mohsen Hooshmand, et al.
BMC Medical Imaging|January 20, 2022
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based featuresZijun Gao, Lu Wang, Reza Soroushmehr, et al.
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress SyndromeElyas Sabeti, Joshua Drews, Narathip Reamaroon, et al.
The Journal of Allergy and Clinical Immunology. Global|May 15, 2024
Prediction of pediatric peanut oral food challenge outcomes using machine learningJonathan Gryak, Aleksandra Georgievska, Justin Zhang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Automated Optic Nerve Sheath Diameter Measurement Using Super-pixel AnalysisReza Soroushmehr, Krishna Rajajee, Craig Williamson, et al.
The Journal of Heart and Lung Transplantation : the Official Publication of the International Society for Heart Transplantation|October 3, 2022
Identifying potential candidates for advanced heart failure therapies using an interpretable machine learning algorithmHeming Yao, Jessica R Golbus, Jonathan Gryak, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Automated Kidney Segmentation for Traumatic Injured Patients through Ensemble Learning and Active Contour ModelingNegar Farzaneh, S M Reza Soroushmehr, Hirenkumar Patel, et al.
BMC Medical Informatics and Decision Making|August 1, 2022
An interpretable neural network for outcome prediction in traumatic brain injuryCristian Minoccheri, Craig A Williamson, Mark Hemmila, et al.
Plos One|November 28, 2023
Predicting need for heart failure advanced therapies using an interpretable tropical geometry-based fuzzy neural networkYufeng Zhang, Keith D Aaronson, Jonathan Gryak, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Markov Models for Detection of Ventricular ArrhythmiaZhi Li, Harm Derksen, Jonathan Gryak, et al.
Pageof 6

Showing results (21-30 of 56) with videos related to

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Pageof 6
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Comparative Study on Heart Rate Variability Analysis for Atrial Fibrillation Detection in Short Single-Lead ECG RecordingsAn Nguyen, Sardar Ansari, Mohsen Hooshmand, et al.
BMC Medical Imaging|January 20, 2022
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based featuresZijun Gao, Lu Wang, Reza Soroushmehr, et al.
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress SyndromeElyas Sabeti, Joshua Drews, Narathip Reamaroon, et al.
The Journal of Allergy and Clinical Immunology. Global|May 15, 2024
Prediction of pediatric peanut oral food challenge outcomes using machine learningJonathan Gryak, Aleksandra Georgievska, Justin Zhang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Automated Optic Nerve Sheath Diameter Measurement Using Super-pixel AnalysisReza Soroushmehr, Krishna Rajajee, Craig Williamson, et al.
The Journal of Heart and Lung Transplantation : the Official Publication of the International Society for Heart Transplantation|October 3, 2022
Identifying potential candidates for advanced heart failure therapies using an interpretable machine learning algorithmHeming Yao, Jessica R Golbus, Jonathan Gryak, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Automated Kidney Segmentation for Traumatic Injured Patients through Ensemble Learning and Active Contour ModelingNegar Farzaneh, S M Reza Soroushmehr, Hirenkumar Patel, et al.
BMC Medical Informatics and Decision Making|August 1, 2022
An interpretable neural network for outcome prediction in traumatic brain injuryCristian Minoccheri, Craig A Williamson, Mark Hemmila, et al.
Plos One|November 28, 2023
Predicting need for heart failure advanced therapies using an interpretable tropical geometry-based fuzzy neural networkYufeng Zhang, Keith D Aaronson, Jonathan Gryak, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Markov Models for Detection of Ventricular ArrhythmiaZhi Li, Harm Derksen, Jonathan Gryak, et al.
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