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Update README.md
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PW45_2026_Boston/Projects/ImprovingQcProtocolsForAmpSczClinicalAndMriData/README.md

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@@ -58,7 +58,10 @@ We will be adding anomaly detection algorithms to clinical data and MRI data in
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If there are specific steps that you could not complete then you can describe them here, too. -->
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1. Describe specific steps you **have actually done**.
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1. Scanned the database for site distribution outliers, string anomalies, and time series anomalies that allowed several new quality control rules to be developed.
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2. Created a web interface for MRI data that allowed various synthetic anatomical and scanner features to be visualized.
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3. Used the synthetic anatomical and scanner augmentations to train a robust MRI QC model.
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4. Next steps involve calculating the correlation between the automatic MRI QC and scores by human raters.
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<!-- Add pictures and links to videos that demonstrate what has been accomplished. -->
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<img width="1276" height="614" alt="image" src="https://github.com/user-attachments/assets/ea7915eb-1a4a-4dd0-86b2-3be1369fda8c" />
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_No response_
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