Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research focused on Computational biology and Enhancer, with related work in Robustness (evolution), Artificial intelligence, Histopathology. Notable publications include 'GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer', 'MPINet: Metabolite Pathway Identification via Coupling of Global Metabolite Network Structure and Metabolomic Profile', and 'A novel dysregulated pathway-identification analysis based on global influence of within-pathway effects and crosstalk between pathways'.
MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction
SUPER-RESOLUTION OF DIFFUSION MRI VIA JOINT CONSIDERATION OF SPATIAL AND ANGULAR SPACES USING GRAPH CNN
GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer
SENIES: DNA Shape Enhanced Two-Layer Deep Learning Predictor for the Identification of Enhancers and Their Strength
SENIES: DNA Shape Enhanced Two-layer Deep Learning Predictor for the Identification of Enhancers and Their Strength
Integrative Pathway Analysis of Genes and Metabolites Reveals Metabolism Abnormal Subpathway Regions and Modules in Esophageal Squamous Cell Carcinoma
MPINet: Metabolite Pathway Identification via Coupling of Global Metabolite Network Structure and Metabolomic Profile
A novel dysregulated pathway-identification analysis based on global influence of within-pathway effects and crosstalk between pathways