PAPETTI DANIELE MARIA

Coelho, V., Monza, N., Porto, N., Capitoli, G., L'Imperio, V., Papetti, D., et al. (2026). Improving the Annotation for Spatial Proteomics: A Computational Approach to Enhance Molecular Characterization of Thyroid Nodules. JOURNAL OF PROTEOME RESEARCH [10.1021/acs.jproteome.5c00432]. Dettaglio

Marino, M., Papetti, D., Besozzi, D., Nobile, M. (2026). Local manipulations of the fitness landscape mitigate stall in particle swarm optimization. APPLIED SOFT COMPUTING, 186(Part D, January 2026) [10.1016/j.asoc.2025.114197]. Dettaglio

Bacciu, L., Cazzaniga, P., Gallese, C., Fuchs, C., Kaymak, U., Papetti, D., et al. (2025). Our Fruitful Relationship with Sugeno Inference, from FUMOSO to pyFUME. In Information Processing and Management of Uncertainty in Knowledge-Based Systems
20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proceedings, Volume 2 (pp.12-24). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-74000-8_2]. Dettaglio

Bacciu, L., Urso, M., Coelho, V., Cazzaniga, G., Pincelli, A., Garancini, M., et al. (2025). MiThyCA: A Computational Pathology Pipeline for the Identification of Microscopic Foci of Papillary Thyroid Carcinoma-Like Nuclear Features with AI in Whole-Slide Histological Images. ENDOCRINE PATHOLOGY, 36(1) [10.1007/s12022-025-09877-w]. Dettaglio

Monza, N., Porto, N., Coelho, V., L’Imperio, V., Papetti, D., Di Nicoli, F., et al. (2025). Enhancing proteomics characterization of thyroid nodules: a pixel-classifier for mass spectrometry imaging analyses. Intervento presentato a: 12th MS J-day, Scuola Normale di Pisa, Pisa, Italia. Dettaglio