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Author

Yu-Min Lee

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Preprint Aug 2026

Spatial proteomics guided by H&E-based AI reveals recurrence-risk niches in triple-negative breast cancer

An outcome informed spatial pathology framework in TNBC that integrates AI generated recurrence risk heatmaps with mass spectrometry based spatial proteomics is developed and defines a new role for outcome trained AI models as spatially explicit experimental guides that connect prognostic morphology with localized mole...

Yesung Cho, Ji Hwan Park, Chanil Kim et al. · 0 citations
Aug 2026

Uncertainty-Aware Adaptive Edge Blocking in Heterophilic Graph Neural Networks

This work provides theoretical guarantees for the selective blocking rule by deriving the signed-versus-blocked decision boundary, separating signed-matrix effects from nonnegative block-operator spectral arguments, and showing when adaptive blocking preserves class-dependent components.

Ji-Ho Choi, Yu-Min Lee, Chanran Kim et al. · 0 citations

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