MoPE is a privileged distillation framework that transfers RNA-derived pathway supervision to histology experts via memory-usage alignment, improving whole-slide image only inference on cancer benchmarks.
Multimodal prototyping for cancer survival prediction
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MIST augments MIL projection layers with cross-modal gene-expression prototypes derived from spatial transcriptomics, yielding consistent gains on survival, subtyping, and biomarker tasks across 23 endpoints and 8 aggregators.
SlotSPE is a slot-attention framework that decomposes multimodal cancer data into structural prognostic event slots to improve survival prediction and interpretability.
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Bridging the Modality Bottleneck in Pathology MIL through Virtual Molecular Staining
MIST augments MIL projection layers with cross-modal gene-expression prototypes derived from spatial transcriptomics, yielding consistent gains on survival, subtyping, and biomarker tasks across 23 endpoints and 8 aggregators.