8 citations · 13 across the 2 of their papers we have counts for
3 papers
cs.LG2025
Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction
Fengchun Liu, Linghan Cai, Zhikang Wang +4
Histo-genomic multimodal survival prediction has garnered growing attention for its remarkable model performance and potential contributions to precision medicine. However, a signi…
eess.IV2024★ 5 cited
Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images
Zhikang Wang, Yumeng Zhang, Yingxue Xu +3
Histo-genomic multi-modal methods have recently emerged as a powerful paradigm, demonstrating significant potential for improving cancer prognosis. However, genome sequencing, unli…
cs.CV2024★ 8 cited
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
Yilan Zhang, Yingxue Xu, Jianqi Chen +2
Multimodal learning significantly benefits cancer survival prediction, especially the integration of pathological images and genomic data. Despite advantages of multimodal learning…