5 citations · 11 across the 4 of their papers we have counts for
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cs.CV2024★ 5 cited
ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics
Yuxiang Lin, Ling Luo, Ying Chen +5
Spatial transcriptomics (ST) provides high-resolution pathological images and whole-transcriptomic expression profiles at individual spots across whole-slide scales. This setting m…
cs.CV2024★ 3 cited
SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction
Ying Chen, Jiajing Xie, Yuxiang Lin +3
Multi-modal learning that combines pathological images with genomic data has significantly enhanced the accuracy of survival prediction. Nevertheless, existing methods have not ful…
cs.CV2024★ 2 cited
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction
Hao Li, Ying Chen, Yifei Chen +5
Whole Slide Image (WSI) classification is often formulated as a Multiple Instance Learning (MIL) problem. Recently, Vision-Language Models (VLMs) have demonstrated remarkable perfo…