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Presence Current · Arkansas
Last published 2025
Sources OpenAlex · ORCID
Refreshed 2026-10-08

Aditi Chaurasia

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Also affiliated: National Institutes of Health (2022–2025); University of Arkansas Medical Center (2025); National Cancer Institute (2022–2025); Center for Cancer Research (2025); National Institutes of Health Clinical Center (2022–2023)

6 h-index 12 pubs 56 cited

  • Kidney Neoplasms
  • Carcinoma, Renal Cell
  • Humans
  • Magnetic Resonance Imaging
  • Middle Aged
  • Deep Learning
  • Carcinoma
  • Female
  • von Hippel-Lindau Disease
  • Male
  • Retrospective Studies
  • Adult
  • Aged
  • Neoplasm Grading
  • Machine Learning

Biography and Research Information

OverviewAI-generated summary

Aditi Chaurasia's research focuses on the application of advanced imaging and machine learning techniques to the study of kidney cancer. Her work investigates the use of magnetic resonance imaging (MRI) and deep learning algorithms for the detection, segmentation, and prediction of tumor characteristics in renal cell carcinoma, particularly in patients with von Hippel-Lindau syndrome. She has published on developing radiomics models to predict tumor growth rates and non-invasive tumor grade evaluation using MRI. Chaurasia also explores automated renal mass detection on contrast-enhanced MRI using deep learning models like YOLOv7. Her scholarship metrics include an h-index of 5, with 10 total publications and 43 citations. She collaborates with Shiva M. Singh, Tarun Pandey, Ishan Pandey, and Akhileshwar Reddy R Ginnaram at the University of Arkansas for Medical Sciences.

Metrics

  • h-index: 6
  • Publications: 12
  • Citations: 56

Selected Publications

  • Deciphering Wrist Pain: A Comprehensive MRI-Based Classification and Interpretation Approach (2025)
    Seminars in Ultrasound CT and MRI DOI OpenAlex
  • Commentary: Leveraging Large Language Models for Radiology Education and Training (2025)
    Journal of Computer Assisted Tomography 2 citations DOI OpenAlex

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Collaboration Network

11 Collaborators 9 Institutions 1 Country

Top Collaborators

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