3 papers
cs.CV2026
Synergistic Information Disentanglement for Omni-modal Slide Representation Learning in Computational Pathology
Mingxin Liu, Chengfei Cai, Anwen Lu +5
In computational pathology (CPath), developing omni-modal self-supervised learning (SSL) models that integrate histology, genomics, and clinical reports enables transferable repres…
cs.CV2025
A Hierarchical Geometry-guided Transformer for Histological Subtyping of Primary Liver Cancer
Anwen Lu, Mingxin Liu, Yiping Jiao +4
Primary liver malignancies are widely recognized as the most heterogeneous and prognostically diverse cancers of the digestive system. Among these, hepatocellular carcinoma (HCC) a…
eess.IV2025
MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction
Mingxin Liu, Chengfei Cai, Jun Li +4
Cancer survival prediction requires integrating pathological Whole Slide Images (WSIs) and genomic profiles, a challenging task due to the inherent heterogeneity and the complexity…