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Jonathan Gryak

Showing results (1-10 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
Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning ApproachSardar Ansari, Jonathan Gryak, Kayvan Najarian
Artificial Intelligence in Medicine|August 24, 2020
Automated hematoma segmentation and outcome prediction for patients with traumatic brain injuryHeming Yao, Craig Williamson, Jonathan Gryak, et al.
NPJ Digital Medicine|May 8, 2021
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognosticationNegar Farzaneh, Craig A Williamson, Jonathan Gryak, et al.
Entropy (Basel, Switzerland)|April 3, 2021
Automated Spleen Injury Detection Using 3D Active Contours and Machine LearningJulie Wang, Alexander Wood, Chao Gao, 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
Hematoma Segmentation Using Dilated Convolutional Neural NetworkHeming Yao, Craig Williamson, Reza Soroushmehr, et al.
PLOS Digital Health|June 29, 2023
Increasing efficiency of SVMp+ for handling missing values in healthcare predictionYufeng Zhang, Zijun Gao, Emily Wittrup, et al.
Artificial Intelligence in Medicine|August 29, 2024
Learning using privileged information with logistic regression on acute respiratory distress syndrome detectionZijun Gao, Shuyang Cheng, Emily Wittrup, et al.
Diagnostics (Basel, Switzerland)|February 10, 2024
Sepsis Trajectory Prediction Using Privileged Information and Continuous Physiological SignalsOlivia P Alge, Jonathan Gryak, J Scott VanEpps, 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 Detection of Non-Informative Frames for Colonoscopy Through a Combination of Deep Learning and Feature ExtractionHeming Yao, Ryan W Stidham, Reza Soroushmehr, 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
Filter-Pruned 3D Convolutional Neural Network for Drowsiness DetectionHeming Yao, Wei Zhang, Rajesh Malhan, et al.
Pageof 6

Showing results (1-10 of 56) with videos related to

Sort By:
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
Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning ApproachSardar Ansari, Jonathan Gryak, Kayvan Najarian
Artificial Intelligence in Medicine|August 24, 2020
Automated hematoma segmentation and outcome prediction for patients with traumatic brain injuryHeming Yao, Craig Williamson, Jonathan Gryak, et al.
NPJ Digital Medicine|May 8, 2021
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognosticationNegar Farzaneh, Craig A Williamson, Jonathan Gryak, et al.
Entropy (Basel, Switzerland)|April 3, 2021
Automated Spleen Injury Detection Using 3D Active Contours and Machine LearningJulie Wang, Alexander Wood, Chao Gao, 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
Hematoma Segmentation Using Dilated Convolutional Neural NetworkHeming Yao, Craig Williamson, Reza Soroushmehr, et al.
PLOS Digital Health|June 29, 2023
Increasing efficiency of SVMp+ for handling missing values in healthcare predictionYufeng Zhang, Zijun Gao, Emily Wittrup, et al.
Artificial Intelligence in Medicine|August 29, 2024
Learning using privileged information with logistic regression on acute respiratory distress syndrome detectionZijun Gao, Shuyang Cheng, Emily Wittrup, et al.
Diagnostics (Basel, Switzerland)|February 10, 2024
Sepsis Trajectory Prediction Using Privileged Information and Continuous Physiological SignalsOlivia P Alge, Jonathan Gryak, J Scott VanEpps, 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 Detection of Non-Informative Frames for Colonoscopy Through a Combination of Deep Learning and Feature ExtractionHeming Yao, Ryan W Stidham, Reza Soroushmehr, 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
Filter-Pruned 3D Convolutional Neural Network for Drowsiness DetectionHeming Yao, Wei Zhang, Rajesh Malhan, et al.
Pageof 6