Sfoglia per Autore
Implication of tumor morphology and MRI characteristics on the accuracy of automated versus human segmentation of GBM areas
2025 Cerina, V; Rui, C; Di Cristofori, A; Ferlito, D; Carrabba, G; Giussani, C; Basso, G; De Bernardi, E
Identification of Alzheimer’s disease with 18F-FDG-PET and MRI pCASL in MCI and SCD subjects: the CAPE study
2025 Cerina, V; Pozzi, F; De Bernardi, E; Crivellaro, C; Moresco, R; Ferrarese, C; Basso, G
Next-generation radiomic sequencing in non-small cell lung cancer: an alternative model to predict mutations from [18F]FDG PET/CT
2025 Monaco, L; Crivellaro, C; De Bernardi, E; Bono, F; Casati, G; Seminati, D; Cortinovis, D; Elisei, F; L'Imperio, V; Landoni, C; Pagni, F; Turolla, E; Messa, C; Guerra, L
Preliminary assessment of semiautomated segmentation tool for GBM neurosurgery: a BraTS-Toolkit approach
2024 Cerina, V; Rui, C; DE BERNARDI, E; Moresco, R; Giussani, C; Basso, G; DI CRISTOFORI, A
“Under the hood”: artificial intelligence in personalized radiotherapy
2024 Gianoli, C; De Bernardi, E; Parodi, K
Spontaneous and iatrogenic ARIA: Mechanistic insights from CAA‐related inflammation
2024 Piazza, F; Lucia, D; Guzzi, F; Pascarella, R; De Bernardi, E; Antolini, L; Basso, G; Zedde, M
Non-invasive imaging biomarkers in chronic liver disease
2024 Maino, C; Vernuccio, F; Cannella, R; Cristoferi, L; Franco, P; Carbone, M; Cortese, F; Faletti, R; De Bernardi, E; Inchingolo, R; Gatti, M; Ippolito, D
Radiomics and liver: Where we are and where we are headed?
2024 Maino, C; Vernuccio, F; Cannella, R; Franco, P; Giannini, V; Dezio, M; Pisani, A; Blandino, A; Faletti, R; De Bernardi, E; Ippolito, D; Gatti, M; Inchingolo, R
A ROI-based quantitative pipeline for 18F-FDG PET metabolism and pCASL perfusion joint analysis: Validation of the 18F-FDG PET line
2024 Cerina, V; Crivellaro, C; Morzenti, S; Pozzi, F; Bigiogera, V; Jonghi-Lavarini, L; Moresco, R; Basso, G; De Bernardi, E
Towards the Definition of Radiomic Features and Clinical Indices to Enhance the Diagnosis of Clinically Significant Cancers in PI-RADS 4 and 5 Lesions
2023 Bonaffini, P; De Bernardi, E; Corsi, A; Franco, P; Nicoletta, D; Muglia, R; Perugini, G; Roscigno, M; Occhipinti, M; Da Pozzo, L; Sironi, S
Clinical applicability of pCASL as a substitute for FDG-PET in the etiological diagnosis of MCI and SCD: CAPE study protocol
2023 Pozzi, F; Cerina, V; Licciardo, D; Guo, W; Brambilla, A; Cosentino, G; Remoli, G; Da Re, F; Conti, E; Tremolizzo, L; Moresco, R; Isella, V; De Bernardi, E; Morzenti, S; Musarra, M; Crivellaro, C; Appollonio, I; Ferrarese, C; Basso, G
Baseline 18FDG-PET Metabolic Tumour Volume (MTV) as a Potential Predictive Factor of Response to Metronomic Chemotherapy (mCHT) in HR+/HER2- Metastatic Breast Cancer (MBC) Patients (pts). Preliminary Results of the Metro-pet Study
2023 Meazza Prina, M; Gotuzzo, I; Cazzaniga, M; De Bernardi, E; Cafaro, P; Capici, S; Cogliati, V; Fulvia Pepe, F; Cicchiello, F; Riva, F; Cordani, N; Cerrito, M; Turolla, E; Landoni, C; Elisei, F; Crivellaro, C; Virdone, L; Monaco, L; Guidi, A; Guerra, L
A ROI-based quantitative pipeline for 18F-FDG PET metabolism and pCASL perfusion joint analysis: validation on 18F-FDG PET data
2023 Cerina, V; De Bernardi, E; Crivellaro, C; Morzenti, S; Pozzi, F; Bigiogera, V; Jonghi-Lavarini, L; Moresco, R; Basso, G
Validation of brain 18FDG-PET and pCASL joint analysis tool: a ROI-based approach
2022 Cerina, V; De Bernardi, E; Bigiogera, V; Jonghi - Lavarini, L; Pozzi, F; Crivellaro, C; Morzenti, S; Apollonio, I; Ferrarese, C; Moresco, R; Basso, G
The "digital biopsy" in non-small cell lung cancer (NSCLC): a pilot study to predict the PD-L1 status from radiomics features of [18F]FDG PET/CT
2022 Monaco, L; De Bernardi, E; Bono, F; Cortinovis, D; Crivellaro, C; Elisei, F; L'Imperio, V; Landoni, C; Mathoux, G; Musarra, M; Pagni, F; Turolla, E; Messa, C; Guerra, L
An optimized protocol for correlation of PET-FDG and pCASL data in mild cognitive impairment (MCI) patients
2022 Cerina, V; De Bernardi, E; Bigiogera, V; JONGHI - LAVARINI, L; Pozzi, F; Crivellaro, C; Morzenti, S; Moresco, R; Basso, G
Evaluation of a 2D UNet-Based Attenuation Correction Methodology for PET/MR Brain Studies
2022 Presotto, L; Bettinardi, V; Bagnalasta, M; Scifo, P; Savi, A; Vanoli, E; Fallanca, F; Picchio, M; Perani, D; Gianolli, L; De Bernardi, E
Radiomics in PI-RADS 3 Multiparametric MRI for Prostate Cancer Identification: Literature Models Re-Implementation and Proposal of a Clinical–Radiological Model
2022 Corsi, A; De Bernardi, E; Bonaffini, P; Franco, P; Nicoletta, D; Simonini, R; Ippolito, D; Perugini, G; Occhipinti, M; Da Pozzo, L; Roscigno, M; Sironi, S
Artificial intelligence for precision medicine in autoimmune liver disease
2022 Gerussi, A; Scaravaglio, M; Cristoferi, L; Verda, D; Milani, C; De Bernardi, E; Ippolito, D; Asselta, R; Invernizzi, P; Kather, J; Carbone, M
Imaging Metformin Efficacy as Add-On Therapy in Cells and Mouse Models of Human EGFR Glioblastoma
2021 Valtorta, S; Lo Dico, A; Raccagni, I; Martelli, C; Pieri, V; Rainone, P; Todde, S; Zinnhardt, B; De Bernardi, E; Coliva, A; Politi, L; Viel, T; Jacobs, A; Galli, R; Ottobrini, L; Vaira, V; Moresco, R
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