most citedMultimodal contrastive learning for spatial gene expression prediction using histology images

4 citations · 4 across the 3 of their papers we have counts for

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cs.CV2026

Cross-Slice Knowledge Transfer via Masked Multi-Modal Heterogeneous Graph Contrastive Learning for Spatial Gene Expression Inference

Zhiceng Shi, Changmiao Wang, Jun Wan +1

While spatial transcriptomics (ST) has advanced our understanding of gene expression in tissue context, its high experimental cost limits its large-scale application. Predicting ST…

cs.CV2026

SpaCRD: Multimodal Deep Fusion of Histology and Spatial Transcriptomics for Cancer Region Detection

Shuailin Xue, Jun Wan, Lihua Zhang +1

Accurate detection of cancer tissue regions (CTR) enables deeper analysis of the tumor microenvironment and offers crucial insights into treatment response. Traditional CTR detecti…