Concepedia

Author

Laura Blaivas

University of South Carolina

Also Known As

Blaivas, Laura, L. Blaivas, L.N. Blaivas, Laura Blaivas, Laura N Blaivas, Laura N. Blaivas

16

Publications

173

Citations

8

H-Index

14

Concepts

All Affiliations

University of South CarolinaMichigan State UniversitySt. Francis HospitalSt. Francis Hospital
LB

About

Laura Blaivas is an author at University of South Carolina specializing in deep learning, medical image computing, and critical care medicine.

Top Concepts

#ConceptH-IndexPublicationsCitations

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Engineering

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2

Medicine

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1

33

3

Biomedical Engineering

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1

33

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Critical Care Medicine

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33

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Emergency Medicine

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33

Laura Blaivas

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7

Publications

161

Citations

7

H-Index

YearCitations

Are All Deep Learning Architectures Alike for Point‐of‐Care Ultrasound?: Evidence From a Cardiac Image Classification Model Suggests Otherwise

Michael Blaivas, Laura Blaivas

Journal of Ultrasound in Medicine

2019

35

Development of a Deep Learning Network to Classify Inferior Vena Cava Collapse to Predict Fluid Responsiveness

Michael Blaivas, Laura Blaivas, Gary Philips,

Journal of Ultrasound in Medicine

2020

33

Deep Learning Pitfall: Impact of Novel Ultrasound Equipment Introduction on Algorithm Performance and the Realities of Domain Adaptation

Michael Blaivas, Laura Blaivas, James W. Tsung

Journal of Ultrasound in Medicine

2021

26

Artificial intelligence versus expert: a comparison of rapid visual inferior vena cava collapsibility assessment between POCUS experts and a deep learning algorithm

Michael Blaivas, Srikar Adhikari, Eric Savitsky,

Journal of the American College of Emergency Physicians Open

2020

24

Machine learning algorithm using publicly available echo database for simplified “visual estimation” of left ventricular ejection fraction

Michael Blaivas, Laura Blaivas

World Journal of Experimental Medicine

2022

17

Are Convolutional Neural Networks Trained on <scp>ImageNet</scp> Images Wearing <scp>Rose‐Colored</scp> Glasses?: A Quantitative Comparison of <scp>ImageNet</scp>, Computed Tomographic, Magnetic Resonance, Chest <scp>X‐Ray</scp>, and <scp>Point‐of‐Care</scp> Ultrasound Images for Quality

Laura Blaivas, Michael Blaivas

Journal of Ultrasound in Medicine

2020

16

Bedside Ultrasound to Identify and Predict Severity of Dysphagia Following Ischemic Stroke: Human Versus Artificial Intelligence

Keith Barron, Michael Blaivas, Laura Blaivas,

Ultrasound in Medicine & Biology

2023

10

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