HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics
Published in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Hierarchical alignment framework that fuses pathology images with spatial transcriptomics to enrich representations for downstream medical imaging tasks.
Recommended citation: T.M. Dang, H. Li, Y. Guo, H. Ma, F. Jiang, Y. Miao, Q. Zhou, J. Gao, J. Huang, “HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics,” MICCAI 2025.