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Mauricio Reyes

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Preprint Aug 2026

HarMoE: Multi-Source Chest Radiograph Pretraining with Dataset-Disentangled Experts

This work proposes HarMoE, a dataset-aware mixture-of-experts framework that learns shared cross-dataset medical semantics while confining source-specific variation to lightweight residual experts in deeper decoder layers, and trains in a unified disease vocabulary with masked multi-dataset supervision, enabling the mo...

Haozhe Luo, Zi-Yu Zhou, Shelley Zixin Shu et al. · 0 citations

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