Sfoglia per Autore
EXPLORING THE MULTI-OMIC LANDSCAPE OF THYROID NODULES: A RETROSPECTIVE STUDY
2026 Fumagalli, C; Monza, N; Porto, N; Di Nicoli, F; Coelho, V; L’Imperio, V; Denti, V
Co-registration of mass spectrometry and optical whole slide histology images for computational pathology
2026 Coelho, V; Monza, N; Porto, N; Fumagalli, C; L'Imperio, V; Denti, V
Advances in early-stage lung cancer patients: from preanalytics to molecular analysis
2026 Pepe, F; Gristina, V; Russo, T; L'Imperio, V; Mangogna, A; Russo, G; Scimone, C; Borea, R; Cozzolino, D; Russo, A; Troncone, G; Rolfo, C; Malapelle, U
Pathology in motion: automation from specimen to report
2026 L'Imperio, V; Tos, A; Carbone, M; Malapelle, U; Bellevicine, C; Troncone, G; Pisapia, P; Marletta, S; Brunelli, M; Scarpa, A; Grassi, S; Cazzaniga, G; Pagni, F; Eccher, A
Cytopenia, Hypocellular Bone Marrow, and Shortened Telomere Length Beyond Biallelic Telomere Biology Gene Mutations
2026 Franco, G; Bruno, L; Alviano, A; Vankann, L; Brümmendorf, T; Guerra, F; Vendemini, F; Faverio, P; L’Imperio, V; Cazzaniga, G; Luppi, F; Biondi, A; Balduzzi, A; Beier, F; Saettini, F
Improving the Annotation for Spatial Proteomics: A Computational Approach to Enhance Molecular Characterization of Thyroid Nodules
2026 Coelho, V; Monza, N; Porto, N; Capitoli, G; L'Imperio, V; Papetti, D; Denti, V
Multi-omic and multimodal characterization of thyroid nodules: novel interplay between molecular and morphological features
2026 Fumagalli, C; Monza, N; Coelho, V; Porto, N; Di Nicoli, F; L'Imperio, V; Smith, A; Denti, V
Towards morpho-molecular learning in computational pathology
2026 Coelho, V; L'Imperio, V; Smith, A; Denti, V
Boosting thyroid nodule diagnosis through ultrasound and molecular imaging integration with unsupervised learning
2026 Facchinetti, F; L'Imperio, V; Piga, I; Papetti, D; Capitoli, G
Advancing Thyroid Nodule Diagnosis: Integrating MALDI-MSI for Detailed Characterization of Indeterminate Lesions
2026 Monza, N; Di Nicoli, F; Capitoli, G; Galimberti, S; L’Imperio, V; Pagni, F; Magni, F; Smith, A; Denti, V
MULTI-OMIC AND MULTIMODAL CHARACTERIZATION OF THYROID NODULES: NOVEL INTERPLAY BETWEEN MOLECULAR AND MORPHOLOGICAL FEATURES
2026 Fumagalli, C; Monza, N; Coelho, V; Porto, N; L'Imperio, V; Smith, A; Denti, V
MULTI-OMIC AND MULTIMODAL CHARACTERIZATION OF THYROID NODULES: NOVEL INTERPLAY BETWEEN MOLECULAR AND MORPHOLOGICAL FEATURES
2026 Fumagalli, C; Monza, N; Coelho, V; Porto, N; Di Nicoli, F; L'Imperio, V; Smith, A; Denti, V
Uncovering Early Renal Alterations in Fabry Disease through Spatial Proteomics
2026 Porto, N; Bindi, G; L’Imperio, V; Pagni, F; Magni, F; Smith, A
Decoding (digital) histopathology: The building blocks for computational researchers
2026 Dammak, S; Caputo, A; Montezuma, D; L'Imperio, V; Oliveira, S
Successful Treatment of Multirefractory Immune Thrombocytopenia in Rubinstein–Taybi Syndrome With Combined Rituximab and Eltrombopag
2026 Colombo, D; Sala, A; Modola, M; L'Imperio, V; Rambaldi, A; Biondi, A; Balduzzi, A; Rizzari, C; Saettini, F
Double Staining Immunohistochemistry and Digital Pathology: Moving Towards Standardization of the Proliferative Index Evaluation in Meningiomas
2026 Fabbri, V; Broggi, G; Attolini, G; L'Imperio, V; Pagni, F; Guerriero, A; Marletta, S; Fiorentino, F; Caramaschi, S; Malagoli, C; Eccher, A; Caltabiano, R
SlideInspect: From Pixel-Level Artifact Detection to Actionable Quality Metrics in Digital Pathology
2026 Scotto, M; Patti, R; L'Imperio, V; Fraggetta, F; Molinari, F; Salvi, M
Zebra bodies recognition by artificial intelligence (ZEBRA): a computational tool for Fabry nephropathy
2026 Cazzaniga, G; Carbone, M; Barretta, R; Casati, G; Vatrano, S; Gambaro, G; Vischini, G; Capelli, I; Mignani, R; Pasquinelli, G; Pieruzzi, F; Caroti, L; Dervishi, E; Allinovi, M; Novelli, L; Pisani, A; Eccher, A; Pagni, F; L'Imperio, V
Digitalization and Gamification to Improve Pathology Education: The SIAPeC Quiz Experience
2026 Caputo, A; Cima, L; L'Imperio, V; Alecci, G; Ascione, A; Facchetti, M; Eren, Ö; Baskovich, B; Mirza, K; Bonert, M; Fadda, G; Fraggetta, F
What practicing pathologists and oncologists should know about the new computational pathology-based companion diagnostic tools
2026 Montezuma, D; Oliveira, S; Zlobec, I; Khalili, N; Temprana-Salvador, J; Leh, S; Ameisen, D; Șerbănescu, M; Prelaj, A; Kather, J; Zerbe, N; L'Imperio, V
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