COELHO VASCO

Coelho, V (2026). Towards morpho-molecular learning in computational pathology. (Tesi di dottorato, , 2026). Dettaglio

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, 25(2), 1152-1159 [10.1021/acs.jproteome.5c00432]. Dettaglio

Fumagalli, C., Monza, N., Coelho, V., Porto, N., L'Imperio, V., Smith, A., et al. (2026). MULTI-OMIC AND MULTIMODAL CHARACTERIZATION OF THYROID NODULES: NOVEL INTERPLAY BETWEEN MOLECULAR AND MORPHOLOGICAL FEATURES. In I&M SIG Meeting 2026 Digital Abstract Book. Dettaglio

Fumagalli, C., Monza, N., Coelho, V., Porto, N., Di Nicoli, F., L'Imperio, V., et al. (2026). MULTI-OMIC AND MULTIMODAL CHARACTERIZATION OF THYROID NODULES: NOVEL INTERPLAY BETWEEN MOLECULAR AND MORPHOLOGICAL FEATURES. Intervento presentato a: 1st Annual Meeting ESAC 4th Edition AI FOR ONCOLOGY and Cancer Research - May 7-8 2026, Milan, Italy. Dettaglio

Coelho, V., L'Imperio, V., Smith, A., Denti, V. (2026). Towards morpho-molecular learning in computational pathology. Intervento presentato a: 21st European Molecular Imaging Meeting - March 24-27 2026, Ljubljana, Slovenia. Dettaglio