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.
Multimodal prototyping for cancer survival prediction.arXiv preprint arXiv:2407.00224, 2024
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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.
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Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis
SlotSPE is a slot-attention framework that decomposes multimodal cancer data into structural prognostic event slots to improve survival prediction and interpretability.