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CASTIGLIONI, ISABELLA

CASTIGLIONI, ISABELLA  

Istituto di Bioimmagini e Fisiologia Molecolare - IBFM  

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Titolo Data di pubblicazione Autore(i) File
Artificial intelligence (AI) in biomedical research: discussion on authors' declaration of AI in their articles title 1-gen-2023 Sardanelli F.; Castiglioni I.; Colarieti A.; Schiaffino S.; Di Leo G.
MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremities 1-gen-2023 Gitto, S; Interlenghi, M; Cuocolo, R; Salvatore, C; Giannetta, V; Badalyan, J; Gallazzi, E; Spinelli, Ms; Gallazzi, M; Serpi, F; Messina, C; Albano, D; Annovazzi, A; Anelli, V; Baldi, J; Aliprandi, A; Armiraglio, E; Parafioriti, A; Daolio, Pa; Luzzati, A; Biagini, R; Castiglioni, I; Sconfienza, Lm
MRI-based artificial intelligence to predict infection following total hip arthroplasty failure 1-gen-2023 Albano D.; Gitto S.; Messina C.; Serpi F.; Salvatore C.; Castiglioni I.; Zagra L.; De Vecchi E.; Sconfienza L.M.
A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses 1-gen-2022 Interlenghi M.; Salvatore C.; Magni V.; Caldara G.; Schiavon E.; Cozzi A.; Schiaffino S.; Carbonaro L.A.; Castiglioni I.; Sardanelli F.
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.
An innovative protocol for the study of painting materials involving the combined use of MA-XRF maps and hyperspectral images 1-gen-2022 Galli A.; Caccia M.; Caglio S.; Bonizzoni L.; Castiglioni I.; Gironda M.; Alberti R.; Martini M.
Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensu 1-gen-2022 Magni, V; Interlenghi, M; Cozzi, A; Alì, M; Salvatore, C; Azzena, Aa; Capra, D; Carriero, S; Della Pepa, G; Fazzini, D; Granata, G; Monti, Cb; Muscogiuri, G; Pellegrino, G; Schiaffino, S; Castiglioni, I; Papa, S; Sardanelli, F
LACE: Inference of cancer evolution models from longitudinal single-cell sequencing data 1-gen-2022 Ramazzotti D.; Angaroni F.; Maspero D.; Ascolani G.; Castiglioni I.; Piazza R.; Antoniotti M.; Graudenzi A.
A low-dose CT-based radiomic model to improve characterization and screening recall intervals of indeterminate prevalent pulmonary nodules 1-gen-2021 Rundo L.; Ledda R.E.; Noia C.D.; Sala E.; Mauri G.; Milanese G.; Sverzellati N.; Apolone G.; Gilardi M.C.; Messa M.C.; Castiglioni I.; Pastorino U.
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
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters 1-gen-2021 Caccia M.; Caglio S.; Galli A.; Interlenghi M.; Castiglioni I.; Martini M.
Artificial Intelligence Applied to Chest X-ray for Differential Diagnosis of COVID-19 Pneumonia 1-gen-2021 Salvatore, C; Interlenghi, M; Monti, Cb; Ippolito, D; Capra, D; Cozzi, A; Schiaffino, S; Polidori, A; Gandola, D; Alì, M; Castiglioni, I; Messa, C; Sardanelli, F
Imaging and spectroscopic data combined to disclose the painting techniques and materials in the fifteenth century Leonardo atelier in Milan 1-gen-2021 Galli, A; Gargano, M; Bonizzoni, L; Bruni, S; Interlenghi, M; Longoni, M; Passaretti, A; Caccia, M; Salvatore, C; Castiglioni, I; Martini, M
Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy 1-gen-2021 Castiglioni, Isabella; Ippolito, Davide; Interlenghi, Matteo; Beatrice Monti, Caterina; Salvatore, Christian; Schiaffino, Simone; Polidori, Annalisa; Gandola, Davide; Messa, Cristina; Sardanelli, Francesco
miR-9 modulates and predicts the response to radiotherapy and EGFR inhibition in HNSCC 1-gen-2021 Citron, F; Segatto, I; Musco, L; Pellarin, I; Rampioni Vinciguerra, Gl; Franchin, G; Fanetti, G; Miccichè, F; Giacomarra, V; Lupato, V; Favero, A; Concina, I; Srinivasan, S; Avanzo, M; Castiglioni, I; Barzan, L; Sulfaro, S; Petrone, G; Viale, A; Draetta, Gf; Vecchione, A; Belletti, B; Baldassarre, G
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.
Radiomics approach in the neurodegenerative brain. 1-gen-2021 Salvatore, C; Castiglioni, I; Cerasa, A
Triple negative aggressive phenotype controlled by miR-135b and miR-365: new theranostics candidates 1-gen-2021 Bertoli, Gloria; Cava, Claudia; Corsi, Fabio; Piccotti, Francesca; Martelli, Cristina; Ottobrini, Luisa; Vaira, Valentina; Castiglioni, Isabella
Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease 1-gen-2020 Nanni, L; Interlenghi, M; Brahnam, S; Salvatore, C; Papa, S; Nemni, R; Castiglioni, I
Interpreting pathways to discover cancer driver genes with Moonlight. 1-gen-2020 Antonio Colaprico ;; Catharina Olsen ;; Matthew H. Bailey ; Gabriel J. Odom ; Thilde Terkelsen ; Tiago C. Silva ; André V. Olsen ; Laura Cantini ;; Andrei Zinovyev ;; Emmanuel Barillot ;; Houtan Noushmehr; Gloria Bertoli ; Isabella Castiglioni ; Claudia Cava ; Gianluca Bontempi ; Xi Steven Chen;Elena Papaleo