Katherine S. Panageas

Decoding Spatial Tissue Architecture: A Scalable Bayesian Topic Model for Multiplexed Imaging Analysis

The paper introduces SpatialTopic, a Bayesian topic model for multiplexed imaging analysis that identifies spatial features and tracks their dynamics across disease progression.

Spatial Immunophenotyping from Whole-Slide Multiplexed Tissue Imaging Using Convolutional Neural Networks

CellGate automates spatial immunophenotyping of multiplexed tissue images with high accuracy, enabling scalable analysis of tumor-immune microenvironments.

Uncovering the hidden structure of dynamic T cell composition in peripheral blood during cancer immunotherapy: a topic modeling approach

The paper uses topic modeling to analyze T cell dynamics in cancer patients, identifying three latent topics associated with clinical outcomes and immune responses.