CASTIGLIONI, ISABELLA
CASTIGLIONI, ISABELLA
Istituto di Bioimmagini e Sistemi Biologici Complessi (IBSBC)
Artificial intelligence (AI) in biomedical research: discussion on authors' declaration of AI in their articles title
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
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
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
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
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
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
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
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
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
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
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
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
Circulating microRNA: The potential novel diagnostic biomarkers to predict drug resistance in temporal lobe epilepsy, a pilot study.
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.
Imaging and spectroscopic data combined to disclose the painting techniques and materials in the fifteenth century Leonardo atelier in Milan
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
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
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
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.
2021 Salvatore, C; Castiglioni, I; Cerasa, A
Triple negative aggressive phenotype controlled by miR-135b and miR-365: new theranostics candidates
2021 Bertoli, Gloria; Cava, Claudia; Corsi, Fabio; Piccotti, Francesca; Martelli, Cristina; Ottobrini, Luisa; Vaira, Valentina; Castiglioni, Isabella
A protein interaction map identifies existing drugs targeting SARS-CoV-2
2020 Cava, Claudia; Bertoli, Gloria; Castiglioni, Isabella
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 | |
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. | |
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 | |
A protein interaction map identifies existing drugs targeting SARS-CoV-2 | 1-gen-2020 | Cava, Claudia; Bertoli, Gloria; Castiglioni, Isabella |