Author

Shelley Zixin Shu

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Open access Sep 2026

INFORMER-Interpretability-Founded Monitoring of Medical Image Deep Learning Models: Application to Chest X-ray Pathologies.

Deep learning has demonstrated strong performance in medical imaging. However, its limited interpretability remains a major barrier to clinical trust and safe deployment. This limitation is particularly relevant in multi-label classification, where quality control methods are still underdeveloped and commonly rely only...

Shelley Zixin Shu, Aurélie Pahud de Mortanges, A. Poellinger et al. · Journal of imaging informati... · 0 citations

Preprint Aug 2026

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

Recent vision-language models for chest X-ray understanding are largely built on image-report alignment and therefore rely heavily on MIMIC-CXR as the dominant pretraining source. While effective at scale, this paradigm underexplores an important alternative source of supervision: a range of existing multi-label classi...

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