4 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
eess.IV2024★ 4 cited
Multimodal contrastive learning for spatial gene expression prediction using histology images
Wenwen Min, Zhiceng Shi, Jun Zhang +2
In recent years, the advent of spatial transcriptomics (ST) technology has unlocked unprecedented opportunities for delving into the complexities of gene expression patterns within…