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…
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…
eess.IV2024
Unleashing the Infinity Power of Geometry: A Novel Geometry-Aware Transformer (GOAT) for Whole Slide Histopathology Image Analysis
Mingxin Liu, Yunzan Liu, Pengbo Xu +1
The histopathology analysis is of great significance for the diagnosis and prognosis of cancers, however, it has great challenges due to the enormous heterogeneity of gigapixel who…