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Author

U. Lomoio

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Open access Jul 2026

Deep Learning-Based Malaria Parasite Image Classification on Real Microscopy Data

Background: Accurate and timely malaria diagnosis with species-level identification of Plasmodium parasites is critical for guiding effective treatment and disease management. Although light microscopy remains the diagnostic gold standard, its dependence on highly trained personnel limits accessibility, particularly in...

F. Branda, Lilia Andriani, Riccardo Lucis et al. · 0 citations
Jul 2026

Comparing Mpox epidemic controls through simulations and explainable graph convolution networks: A case study in the Republic of the Congo and Nigeria

The study supports the potential usefulness of combining contact-based models with explainable graph neural networks for scenario-based epidemic analysis and suggests that the k-GCN model captures relevant temporal and structural dependencies in the simulated graph-organized data.

Francesco Branda, G. Ceccarelli, Massimo Ciccozzi et al. · 0 citations

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