Anqi Zou

RNA-guided contrastive learning enhances patient-level prediction from histology

This paper improves histology-based molecular receptor prediction by integrating RNA-seq data during training, showing that gene selection strategy is key to model performance.

Deep Learning Enables Automated Segmentation and Quantification of Ultrastructure from Transmission Electron Microscopy Images

This paper introduces TEAMKidney, a deep learning framework for automated segmentation and quantification of TEM images, showing improved accuracy and efficiency over existing methods.

VaMiAnalyzer: An open source, python-based application for analysis of 3D in vitro vasculogenic mimicry assays

VaMiAnalyzer is an open-source Python tool for automated quantification of vasculogenic mimicry structures in 3D in vitro assays, providing consistent results faster than manual methods.

Digital pathology assessment of kidney glomerular filtration barrier ultrastructure in an animal model of podocytopathy

This paper develops a deep learning method to automate measurement of glomerular basement membrane and podocyte foot process widths in TEM images of podocytopathy mouse models, showing comparable accuracy to manual methods.