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Found 3 papers, 1 papers with code
Detect and Correct Bias in Multi-Site Neuroimaging Datasets
Given such evidence, we take a closer look at confounding bias, which is often viewed as the main shortcoming in observational studies.
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference
In this work, we combine 12, 207 MRI scans from 15 studies and show that simple pooling is often ill-advised due to introducing various types of biases in the training data.
Detect, Quantify, and Incorporate Dataset Bias: A Neuroimaging Analysis on 12,207 Individuals
Next, we introduce metrics to quantify the compatibility across datasets and to create embeddings of neuroimaging sites.
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