3 papers
cs.MM2025
Contribution-Guided Asymmetric Learning for Robust Multimodal Fusion under Imbalance and Noise
Zijing Xu, Yunfeng Kou, Kunming Wu +1
Multimodal learning faces two major challenges: modality imbalance and data noise, which significantly affect the robustness and generalization ability of models. Existing methods…
eess.IV2025
Adaptive Prototype Learning for Multimodal Cancer Survival Analysis
Hong Liu, Haosen Yang, Federica Eduati +2
Leveraging multimodal data, particularly the integration of whole-slide histology images (WSIs) and transcriptomic profiles, holds great promise for improving cancer survival predi…
cs.CV2025
PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting
Hong Liu, Haosen Yang, Evi M. C. Huijben +4
Tumor segmentation plays a critical role in histopathology, but it requires costly, fine-grained image-mask pairs annotated by pathologists. Thus, synthesizing histopathology data…