Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

Interactive modules to digitally annotate H&E whole slide images, construct cell and tissue level features and classify cell types. Specifically for a case study of differentiating borderline and high-grade serous ovarian tumors.

Cell image analysis pipeline for RPE cell identification, counting and maturity classification

Non invasive live cell cycle monitoring using a supervised deep neural autoencoder onquantitative phase images

Inference code for GrEp : Graph-based epithelial cell sub-classification refinement

Project for the Applied Machine Learning (EI70360) class at TUM Summer Semester 2023.