biomedia-mira/deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
This project helps medical researchers understand how changes in certain factors might impact outcomes in brain scan data. By inputting medical image data and specifying hypothetical interventions (like changing a patient's age or a disease marker), you can generate predictions of how the brain scans would appear under those altered conditions. It's designed for researchers studying causality in medical imaging.
296 stars. No commits in the last 6 months.
Use this if you need to simulate the effect of hypothetical interventions on medical images, such as predicting how a brain scan might change if a patient's risk factors were different.
Not ideal if you don't have access to large medical imaging datasets like UK Biobank or if your primary goal is not counterfactual inference on image data.
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296
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Jupyter Notebook
License
MIT
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Last pushed
Jul 06, 2023
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