BESOZZI DANIELA

L'Imperio, V., Coelho, V., Cazzaniga, G., Papetti, D., Del Carro, F., Capitoli, G., et al. (2024). Machine learning streamlines the morphometric characterization and multi-class segmentation of nuclei in different follicular thyroid lesions: everything in a NUTSHELL. MODERN PATHOLOGY, 37(12 (December 2024)) [10.1016/j.modpat.2024.100608]. Detail

Cazzaniga, P., Spolaor, S., Fuchs, C., Nobile, M., Besozzi, D. (2024). Fuzzy Logic for Knowledge-Driven and Data-Driven Modeling in Biomedical Sciences. In B. Carpentieri, P. Lecca (a cura di), Big Data Analysis and Artificial Intelligence for Medical Sciences (pp. 17-41). John Wiley & Sons, Inc [10.1002/9781119846567.ch2]. Detail

Locatelli, M., Cerioli, R., Besozzi, D., Hommersom, A., Stella, F. (2024). Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment. In Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2024)
co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024) (pp.116-129). CEUR-WS. Detail

Della Torre, S., Cavallotto, G., Besozzi, D., Gervasi, M., La Vacca, G., Nobile, M., et al. (2024). Advantages of GPU-accelerated approach for solving the Parker equation in the heliosphere. In 38th International Cosmic Ray Conference (pp.1-8). Sissa Medialab srl [10.22323/1.444.1290]. Detail

Barreca, M., Mariani, M., Dugo, M., Galbardi, B., Valagussa, P., Besozzi, D., et al. (2024). Tumour ecosystem and molecular dynamics in clinical triple-negative breast cancer depend on the chemotherapy regimen. Intervento presentato a: IMMUNO-models Second Annual Conference: From Pre-clinical Models to the Search for Biomarkers in Immuno-Oncology, Bratislava, Slovacchia. Detail