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Yale University
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CAAD redefines anomaly detection by focusing on causal consistency, revealing that overlooked causal relationships can lead to more precise identification of system failures.
VCDP transforms semi-supervised medical image segmentation by aligning voxel embeddings with both global organ identities and local anatomical variations, leading to superior performance on challenging segmentation tasks.