Biography and Research Information
OverviewAI-generated summary
Katelyn Ragland's research focuses on the application of advanced computational methods, specifically convolutional neural networks, for the autonomous diagnosis of pediatric cutaneous vascular anomalies. Her work investigates the potential of these technologies to improve diagnostic accuracy and efficiency in this area of medicine. Ragland is affiliated with the University of Arkansas for Medical Sciences and has a recent publication in 2022 detailing this research. Her scholarly output includes four publications with 19 citations and an h-index of 2. She has collaborated with Gresham T. Richter, also at the University of Arkansas for Medical Sciences, on shared publications, indicating a network of research engagement within her institution.
Metrics
- h-index: 2
- Publications: 4
- Citations: 20
Selected Publications
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Autonomous diagnosis of pediatric cutaneous vascular anomalies using a convolutional neural network (2022)
Collaboration Network
Top Collaborators
- Autonomous diagnosis of pediatric cutaneous vascular anomalies using a convolutional neural network
- Autonomous diagnosis of pediatric cutaneous vascular anomalies using a convolutional neural network
- Autonomous diagnosis of pediatric cutaneous vascular anomalies using a convolutional neural network
- Autonomous diagnosis of pediatric cutaneous vascular anomalies using a convolutional neural network
- Autonomous diagnosis of pediatric cutaneous vascular anomalies using a convolutional neural network
- Autonomous diagnosis of pediatric cutaneous vascular anomalies using a convolutional neural network
- Autonomous diagnosis of pediatric cutaneous vascular anomalies using a convolutional neural network
- Autonomous diagnosis of pediatric cutaneous vascular anomalies using a convolutional neural network
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