Author

Ren-Chin Wu

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Preprint Aug 2026

ADMIL: Attention-Distilled Multiple Instance Learning for Selective Foundation Model Inference in Pathology

Attention-based multiple instance learning (ABMIL) using pathology foundation model embeddings is effective for slide-level tasks, but exhaustive inference requires applying a large image encoder to every foreground tile despite the subsequent attention distribution often concentrating over a small subset of informativ...

Duncan Stothers, Ren-Chin Wu, W. Lotter · 0 citations

Aug 2026

E-cadherin-driven interleukin-6 expression promotes autophagy-mediated platinum resistance in ovarian clear cell carcinoma

Findings identify the E-cadherin/IL-6/autophagy axis as a key mediator of platinum resistance in ovarian cancer.

Chiao-Yun Lin, An-Shine Chao, Shih-Ming Jung et al. · Cancer Gene Therapy · 0 citations

Preprint Aug 2026

SAGE: Semantic Explainability of Attention-Based Survival Models in Computational Pathology

Attention-based multiple instance learning (ABMIL) is the predominant approach for slide-level prediction in computational pathology, yet its attention maps provide only local explanations: they indicate where a model focuses but not which histological features drive its predictions or how the model behaves across a pa...

Abdallah Lamane, Abdul Rahman Diab, Ren-Chin Wu et al. · 0 citations