Leslie Solorzano

TissUUmaps 3 improves interactive visualization and exploration of large-scale spatial omics data through optimizations and new modules for analysis and quality assessment.

This paper compares single and ensemble CNN models for detecting invasive breast cancer in histological images, finding ensembles improve accuracy across internal and external datasets.

This paper presents a machine learning approach for cell classification in glioma tissue and identifies cell niches using graph neural networks.

This paper introduces a graph-based method for analyzing in situ sequencing data to identify spatial compartments in mouse brain tissue, linking them to known brain regions and morphology.