5 papers · 1 filter
Disentangled Multi-modal Learning of Histology and Transcriptomics for Cancer Characterization
Yupei Zhang, Xiaofei Wang, Anran Liu +2
Histopathology remains the gold standard for cancer diagnosis and prognosis. With the advent of transcriptome profiling, multi-modal learning combining transcriptomics with histolo…
Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics
Xiaofei Wang, Xingxu Huang, Stephen J. Price +1
The recent advancement of spatial transcriptomics (ST) allows to characterize spatial gene expression within tissue for discovery research. However, current ST platforms suffer fro…
Score-based Diffusion Model for Unpaired Virtual Histology Staining
Anran Liu, Xiaofei Wang, Jing Cai +1
Hematoxylin and eosin (H&E) staining visualizes histology but lacks specificity for diagnostic markers. Immunohistochemistry (IHC) staining provides protein-targeted staining but i…
Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling
NingFeng Que, Xiaofei Wang, Jingjing Chen +2
Spatial transcriptomics (ST) is a promising technique that characterizes the spatial gene profiling patterns within the tissue context. Comprehensive ST analysis depends on consecu…
Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning
Yupei Zhang, Xiaofei Wang, Fangliangzi Meng +2
Multi-modal learning plays a crucial role in cancer diagnosis and prognosis. Current deep learning based multi-modal approaches are often limited by their abilities to model the co…