MSB is a late-fusion stacking framework for multimodal survival prediction under blockwise missingness that improves C-index over baselines on the PIONeeR lung cancer immunotherapy dataset.
Journal for ImmunoTherapy of Cancer11(Suppl 1) (2023)
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MMAP uses multi-magnification patch features and slide-level prototype embeddings to predict spatial gene expression from H&E images and reports better MAE, MSE, and PCC than prior methods.
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MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
MMAP uses multi-magnification patch features and slide-level prototype embeddings to predict spatial gene expression from H&E images and reports better MAE, MSE, and PCC than prior methods.