Cell density quantification of high resolution Nissl images of the juvenile rat brain

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The application of machine learning in medicine and healthcare has led to the creation of numerous diagnostic and prognostic models. However, despite their success, current approaches generally issue predictions using data from a single modality. This stan ...

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Graph Neural Networks (GNNs) have become a popular tool for learning on graphs, but their widespread use raises privacy concerns as graph data can contain personal or sensitive information. Differentially private GNN models have been recently proposed to p ...

Cell density quantification of high resolution Nissl images of the juvenile rat brain

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ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees