Alicja Rączkowska

Celloscope deconvolves cell types in spatial transcriptomics data using marker genes, outperforming existing methods and accurately identifying brain structures and immune infiltrates.

This study uses deep learning to segment tumor microenvironments in lung cancer images, predicting patient survival and gene mutations with moderate to high accuracy.

The paper introduces a Bayesian deep learning framework for histopathological image classification, achieving high accuracy and providing uncertainty measures to improve active learning efficiency.