Aditi Chaurasia

Researcher

University of Arkansas for Medical Sciences

faculty

4 h-index 10 pubs 30 cited

Research Areas

Radiomics and Machine Learning in Medical Imaging Advanced Neural Network Applications Medical Imaging Techniques and Applications Cancer Genomics and Diagnostics Health Sciences Research and Education AI in cancer detection

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OverviewAI-generated summary

Aditi Chaurasia's research focuses on the application of machine learning and artificial intelligence techniques, particularly deep learning algorithms, to medical imaging for cancer detection and characterization. Her work has explored the use of radiomics and deep learning models, such as YOLOv7, for automated detection and segmentation of renal masses on MRI. She has investigated predictive machine learning models for assessing clear cell renal cell carcinoma growth rates and non-invasive tumor grade evaluation, with a specific emphasis on patients with von Hippel-Lindau syndrome.

Chaurasia has also contributed to commentary on leveraging large language models for radiology education and training. Her scholarship metrics include an h-index of 4, with 10 publications and 30 citations. Key collaborators at the University of Arkansas for Medical Sciences include Shiva M. Singh and Ishan Pandey.

Metrics

  • h-index: 4
  • Publications: 10
  • Citations: 30

Selected Publications

  • Deciphering Wrist Pain: A Comprehensive MRI-Based Classification and Interpretation Approach (2025) DOI
  • Commentary: Leveraging Large Language Models for Radiology Education and Training (2025) DOI

Collaborators

Researchers in the database who share publications

Shiva M. Singh University of Arkansas for Medical Sciences 5 shared publications Ishan Pandey University of Arkansas for Medical Sciences 1 shared publication

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