5 citations · 14 across the 12 of their papers we have counts for
4 papers · 1 filter
PH2ST:ST-Prompt Guided Histological Hypergraph Learning for Spatial Gene Expression Prediction
Yi Niu, Jiashuai Liu, Yingkang Zhan +8
Spatial Transcriptomics (ST) reveals the spatial distribution of gene expression in tissues, offering critical insights into biological processes and disease mechanisms. However, t…
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network
Jialun Wu, Yang Liu, Zeyu Gao +3
Constructing large-scaled medical knowledge graphs can significantly boost healthcare applications for medical surveillance, bring much attention from recent research. An essential…
A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data
Jialun Wu, Zeyu Gao, Haichuan Zhang +4
Personalized diagnoses have not been possible due to sear amount of data pathologists have to bear during the day-to-day routine. This lead to the current generalized standards tha…
Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image
Zeyu Gao, Bangyang Hong, Xianli Zhang +6
Histological subtype of papillary (p) renal cell carcinoma (RCC), type 1 vs. type 2, is an essential prognostic factor. The two subtypes of pRCC have a similar pattern, i.e., the p…