Zhiyuan Ding

TiSAM improves whole-slide image segmentation by fusing spatial and histopathology features, achieving high accuracy across diverse datasets and scanners.

This paper applies multi-instance learning to automate flow cytometry analysis, demonstrating effectiveness in cancer subtyping, HIV survival, AML minimal residual disease, and COVID-19 severity assessment.

This study shows that a pretrained tissue patch encoder can effectively encode cellular graphs, capturing cell-level features and spatial relationships in tissue patches.