CNR Institutional Research Information System

GALLIVANONE, FRANCESCA

GALLIVANONE, FRANCESCA  

Istituto di Bioimmagini e Fisiologia Molecolare - IBFM  

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Risultati 1 - 20 di 111 (tempo di esecuzione: 0.048 secondi).
Titolo Data di pubblicazione Autore(i) File
Exploring spectral and phylogenetic diversity links with functional structure of aquatic plant communities 1-gen-2025 Villa, P.; Berton, A.; Bolpagni, R.; Caccia, M.; Castellani, M. B.; Dalla Vecchia, A.; Gallivanone, F.; Lastrucci, L.; Piaser, E.; Coppi, A.
Characterization of cell cycle, inflammation, and oxidative stress signaling role in non-communicable diseases: Insights into genetic variants, microRNAs and pathways 1-gen-2024 D'Antona, S.; Porro, D.; Gallivanone, F.; Bertoli, G.
Estimating Aquatic Plant Diversity Using Spectral Metrics from Drone Hyperspectral Imaging 1-gen-2024 Villa, Paolo; Berton, Andrea; Bolpagni, Rossano; Caccia, Michele; Castellani, MARIA BEATRICE; Coppi, Andrea; Dalla Vecchia, Alice; Gallivanone, Francesca; Lastrucci, Lorenzo; Piaser, Erika
Serum MicroRNAs as Predictors of Diagnosis and Drug-resistance in Temporal Lobe Epilepsy: A Preliminary Study 1-gen-2024 Bertoli, G.; Fortunato, F.; Cava, C.; Manna, I.; Gallivanone, F.; Labate, A.; Panio, A.; Porro, D.; Gambardella, A.
Assessing Spectral Metrics to Estimate Aquatic Plant Diversity from Hyperspectral Imaging: Preliminary Results 1-gen-2023 Villa, Paolo; Berton, Andrea; Bolpagni, Rossano; Caccia, Michele; Castellani, MARIA BEATRICE; Coppi, Andrea; Dalla Vecchia, Alice; Gallivanone, Francesca; Lastrucci, Lorenzo; Piaser, Erika
Impact of Radiometric Variability on Ultra-High Resolution Hyperspectral Imagery Over Aquatic Vegetation: Preliminary Results 1-gen-2023 Piaser, E; Berton, A; Bolpagni, R; Caccia, M; Castellani, Mb; Coppi, A; Vecchia, Ad; Gallivanone, F; Sona, G; Villa, P
Influence of canopy structure and illumination geometry on spectral anisotropy of aquatic vegetation in ultra-high resolution hyperspectral imagery 1-gen-2023 Piaser, Erika; Berton, Andrea; Caccia, Michele; Gallivanone, Francesca; Sona, Giovanna; Villa, Paolo
A tri-modal tissue-equivalent anthropomorphic phantom for PET, CT and multi-parametric MRI radiomics 1-gen-2022 Gallivanone, F; D'Ambrosio, D; Carne, I; D'Arcangelo, M; Montagna, P; Giroletti, E; Poggi, P; Vellani, C; Moro, L; Castiglioni, I
Radiogenomics, Breast Cancer Diagnosis and Characterization: Current Status and Future Directions 1-gen-2022 Gallivanone, F; Bertoli, G; Porro, D
Secreted miR-153 Controls Proliferation and Invasion of Higher Gleason Score Prostate Cancer 1-gen-2022 Bertoli, G; Panio, A; Cava, C; Gallivanone, F; Alini, M; Strano, G; Molfino, F; Brioschi, L; Viani, P; Porro, D
Secreted miR‐153 Controls Proliferation and Invasion of Higher Gleason Score Prostate Cancer 1-gen-2022 Bertoli, G.; Panio, A.; Cava, C.; Gallivanone, F.; Alini, M.; Strano, G.; Molfino, F.; Brioschi, L.; Viani, P.; Porro, D.
Validity of cingulate-precuneus-temporo-parietal hypometabolism for single-subject diagnosis of biomarker-proven atypical variants of Alzheimer's Disease 1-gen-2022 Isella, V; Crivellaro, C; Formenti, A; Musarra, M; Pacella, S; Morzenti, S; Ferri, F; Mapelli, C; Gallivanone, F; Guerra, L; Appollonio, I; Ferrarese, C
Advanced Imaging Analysis in Prostate MRI: Building a Radiomic Signature to Predict Tumor Aggressiveness 1-gen-2021 Damascelli, Anna; Gallivanone, Francesca; Cristel, Giulia; Cava, Claudia; Interlenghi, Matteo; Esposito, Antonio; Brembilla, Giorgio; Briganti, Alberto; Montorsi, Francesco; Castiglioni, Isabella; De Cobelli, Francesco
AI applications to medical images: From machine learning to deep learning 1-gen-2021 Castiglioni, I; Rundo, L; Codari, M; Di Leo, G; Salvatore, C; Interlenghi, M; Gallivanone, F; Cozzi, A; D'Amico, Nc; Sardanelli, F
Circulating microRNA: The potential novel diagnostic biomarkers to predict drug resistance in temporal lobe epilepsy, a pilot study. 1-gen-2021 De Benedittis, S.; Fortunato, F.; Cava, C.; Gallivanone, F.; Iaccino, E.; Caligiuri, M. E.; Castiglioni, I.; Bertoli, G.; Manna, I.; Labate, A.; Gambardella, A.
Circulating microRNAs as Potential Novel Diagnostic Biomarkers to Predict Drug Resistance in Temporal Lobe Epilepsy: A Pilot Study 1-gen-2021 De Benedittis, Selene; Fortunato, Francesco; Cava, Claudia; Gallivanone, Francesca; Iaccino, Enrico; Eugenia Caligiuri, Maria; Castiglioni, Isabella; Bertoli, Gloria; Manna, Ida; Labate, Angelo; Gambardella, Antonio
Pet/mri for staging the axilla in breast cancer: Current evidence and the rationale for snb vs. pet/mri trials 1-gen-2021 Di Micco, R; Santurro, L; Gasparri, Ml; Zuber, V; Cisternino, G; Baleri, S; Morgante, M; Rotmensz, N; Canevari, C; Gallivanone, F; Scifo, P; Savi, A; Magnani, P; Neri, I; Ferjani, N; Venturini, E; Losio, C; Sassi, I; Bianchini, G; Panizza, P; Gianolli, L; Gentilini, Od
Radiomics and gene expression profile to characterise the disease and predict outcome in patients with lung cancer 1-gen-2021 Kirienko, M; Sollini, M; Corbetta, M; Voulaz, E; Gozzi, N; Interlenghi, M; Gallivanone, F; Castiglioni, I; Asselta, R; Duga, S; Soldà, G; Chiti, A
Acute Inescapable Stress Rapidly Increases Synaptic Energy Metabolism in Prefrontal Cortex and Alters Working Memory Performance. 1-gen-2019 Laura Musazzi ; Nathalie Sala ; Paolo Tornese ; Francesca Gallivanone ; Sara Belloli ; Alessandra Conte ; Giuseppe Di Grigoli ; Fengua Chen ; Ayse Ikinci ; Giulia Treccani ; Chiara Bazzini ; Isabella Castiglioni ; Jens R. Nyengaard ; Gregers Wegener ; Rosa M. Moresco ;Maurizio Popoli
AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics 1-gen-2019 Isabella Castiglioni ; Francesca Gallivanone ; Paolo Soda ; Michele Avanzo ; Joseph Stancanello ; Marco Aiello ; Matteo Interlenghi ; Marco Salvatore