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PW45_2026_Boston: Add project ImprovingQcProtocolsForAmpSczClinicalAndMriData
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---
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layout: pw45-project
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permalink: /:path/
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project_title: Improving QC protocols for AMP SCZ Clinical and MRI Data
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category: Quantification and Computation
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presenter_location:
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key_investigators:
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- name: Sylvain Bouix
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affiliation: école de technologie supérieure
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country: Canada
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- name: Owen Borders
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affiliation: Psychiatry Neuroimaging Lab
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country: U.S.
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- name: Keerthana Srinivasan
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affiliation: Psychiatry Neuroimaging Lab
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country: U.S.
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---
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# Project Description
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<!-- Add a short paragraph describing the project. -->
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We will be adding anomaly detection algorithms to clinical data and MRI data in the AMP SCZ project.
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## Objective
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<!-- Describe here WHAT you would like to achieve (what you will have as end result). -->
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1. We would like to achieve MRI QC reports that accurately correlate to human QC ratings, in addition to uncovering new QC rules for clinical forms using machine learning anomaly detection algorithms.
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## Approach and Plan
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<!-- Describe here HOW you would like to achieve the objectives stated above. -->
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1. For the clinical data, we will use DBSCAN to search for correlations between every variable and flag cases that deviate the most.
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2. For the MRI data, we will artificially add artifacts to clean MRI scans and train a neural network to rank the severity.
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## Progress and Next Steps
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<!-- Update this section as you make progress, describing of what you have ACTUALLY DONE.
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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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# Illustrations
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<!-- Add pictures and links to videos that demonstrate what has been accomplished. -->
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_No response_
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# Background and References
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<!-- If you developed any software, include link to the source code repository.
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If possible, also add links to sample data, and to any relevant publications. -->
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_No response_
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