Frozen ViT embeddings in chest radiography suppress small-lesion signal at the CLS token but recover it via patch-local pooling on the same forward pass across multiple models and large cohorts.
Gamble, Hari M
2 Pith papers cite this work, alongside 52 external citations. Polarity classification is still indexing.
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A cVAE plus flow-matching model generates realistic complex-valued brain MRI that preserves phase coherence above 0.997 and yields synthetic data that trains abnormality classifiers to 0.880 AUROC, beating the 0.842 real-data baseline on fastMRI.
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Frozen Foundation-Model Embeddings Discard Small-Lesion Signal in Chest Radiography: Implications for Pre-Deployment Evaluation
Frozen ViT embeddings in chest radiography suppress small-lesion signal at the CLS token but recover it via patch-local pooling on the same forward pass across multiple models and large cohorts.
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Generative Modeling of Complex-Valued Brain MRI Data
A cVAE plus flow-matching model generates realistic complex-valued brain MRI that preserves phase coherence above 0.997 and yields synthetic data that trains abnormality classifiers to 0.880 AUROC, beating the 0.842 real-data baseline on fastMRI.