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Showing 1 to 4 of 4 for “"Medical Report Generation"”.

  1. Improving medical report generation and evaluation through prompt engineering

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01

    uiuc Repository record for Improving medical report generation and evaluation through prompt engineering (opens in a new tab)

  2. Learning to Improve Clinical Decisions and AI Safety by Leveraging Structure

    … we leverage the unique structure present in medical data along with the availability of external knowledge to guide model predictions. Additionally, we develop differentially private (DP) training techniques using gradient structure to mitigate privacy leakage. In this thesis, we develop …

    mit Repository record for Learning to Improve Clinical Decisions and AI Safety by Leveraging Structure (opens in a new tab)

  3. Learning to map between domains

    … them to something seen before. Similarly, in the medical image field and radiological science, tens of thousands of medical images (MRI, CT, etc) of patients are taken. These medical images need to be studied and interpreted. In this dissertation, we investigate a number of data-driven approaches …

    uiuc Repository record for Learning to map between domains (opens in a new tab)

  4. Effective Modeling in Medical Imaging with Constrained Data

    Data for modern medical imaging modeling is constrained by their high physical density, complex structure, insufficient annotation, heterogeneity across sites, long-tailed distribution of findings/conditions/diseases, and sparsely presented information. In this dissertation, to utilize the …

    mit Repository record for Effective Modeling in Medical Imaging with Constrained Data (opens in a new tab)