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Laura Blaivas

Showing results (1-10 of 6) with videos related to

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World Journal of Experimental Medicine|April 18, 2022
Machine learning algorithm using publicly available echo database for simplified "visual estimation" of left ventricular ejection fractionMichael Blaivas, Laura Blaivas
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|December 25, 2019
Are All Deep Learning Architectures Alike for Point-of-Care Ultrasound?: Evidence From a Cardiac Image Classification Model Suggests OtherwiseMichael Blaivas, Laura Blaivas
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|August 7, 2020
Are Convolutional Neural Networks Trained on ImageNet Images Wearing Rose-Colored Glasses?: A Quantitative Comparison of ImageNet, Computed Tomographic, Magnetic Resonance, Chest X-Ray, and Point-of-Care Ultrasound Images for QualityLaura Blaivas, Michael Blaivas
The Journal of Vascular Access|January 20, 2025
Anticipating impending peripheral intravenous catheter failure: A diagnostic accuracy observational study combining ultrasound and artificial intelligence to improve clinical careAmit Bahl, Steven Johnson, Nicholas Mielke, et al.
Ultrasound in Medicine & Biology|October 20, 2023
Bedside Ultrasound to Identify and Predict Severity of Dysphagia Following Ischemic Stroke: Human Versus Artificial IntelligenceKeith Barron, Michael Blaivas, Laura Blaivas, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|October 10, 2020
Development of a Deep Learning Network to Classify Inferior Vena Cava Collapse to Predict Fluid ResponsivenessMichael Blaivas, Laura Blaivas, Gary Philips, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
World Journal of Experimental Medicine|April 18, 2022
Machine learning algorithm using publicly available echo database for simplified "visual estimation" of left ventricular ejection fractionMichael Blaivas, Laura Blaivas
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|December 25, 2019
Are All Deep Learning Architectures Alike for Point-of-Care Ultrasound?: Evidence From a Cardiac Image Classification Model Suggests OtherwiseMichael Blaivas, Laura Blaivas
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|August 7, 2020
Are Convolutional Neural Networks Trained on ImageNet Images Wearing Rose-Colored Glasses?: A Quantitative Comparison of ImageNet, Computed Tomographic, Magnetic Resonance, Chest X-Ray, and Point-of-Care Ultrasound Images for QualityLaura Blaivas, Michael Blaivas
The Journal of Vascular Access|January 20, 2025
Anticipating impending peripheral intravenous catheter failure: A diagnostic accuracy observational study combining ultrasound and artificial intelligence to improve clinical careAmit Bahl, Steven Johnson, Nicholas Mielke, et al.
Ultrasound in Medicine & Biology|October 20, 2023
Bedside Ultrasound to Identify and Predict Severity of Dysphagia Following Ischemic Stroke: Human Versus Artificial IntelligenceKeith Barron, Michael Blaivas, Laura Blaivas, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|October 10, 2020
Development of a Deep Learning Network to Classify Inferior Vena Cava Collapse to Predict Fluid ResponsivenessMichael Blaivas, Laura Blaivas, Gary Philips, et al.
Pageof 1