Shweta Dabetwar Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant professor
faculty
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Biography and Research Information
OverviewAI-generated summary
Shweta Dabetwar is an assistant professor at the University of Arkansas at Little Rock. Her research focuses on the application of advanced computational techniques to address challenges in health and medicine. She has investigated the use of artificial intelligence in medical imaging for cancer detection, exploring radiomics and machine learning to improve diagnostic accuracy and treatment planning. Her work also touches upon understanding the long-term effects of diseases like COVID-19 and developing strategies for better healthcare management.
Metrics
- h-index: 11
- Publications: 28
- Citations: 314
Selected Publications
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A Study of the Effect of Unbalanced Dataset and Pretraining on the Multiclass Classification of Brain Tumors Using MRI Scans (2025)
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Optimization of Experimental Infrared Image Dataset for the Identification of Barely Visible Damage in Wind Turbine Blade Samples Using Transfer Learning (2025)
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Identification and Localization of Areas of Damage in Composite Materials Using Infrared Thermography and Artificial Intelligence (2024)
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Classification of Damage State in Carbon Fiber Reinforced Composites Using Transfer Learning (2024)
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A comprehensive framework for estimating the remaining useful life of Li-ion batteries under limited data conditions with no temporal identifier (2024)
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