Active projects
Tumor budding with graph neural networks
Spatial-omic and single-cell 3D image analysis
Characterizing the phenotypic landscape of tumor buds
Predict patient outcomes using self-supervision
Analyzing spatial proteomics to understand tumor response
Detection of anthracotic pigments in lung cancer
Epithelial cells classification with graph neural networks
Investigating H&E biomarker heterogeneity in CRC
Exploring rectal biopsies tumor microenvironment with graphs
Streamlining AI algorithms on remote HPC infrastructure
Detection of large duct patterns of pancreatic cancer
Computer-assisted diagnosis of H. pylori
Characterizing tumor budding and tumor microenvironment
Development of a clinically translatable PD-L1 algorithm
CDX2's role in colorectal cancer
AI in IBD - Assessing Histological Disease Activity
Completed projects
Computer-assisted CRC lymph node metastases detection
