MAGNI, VERONICA
MAGNI, VERONICA
Universita' degli Studi di MILANO
A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses
2022 M. Interlenghi, C. Salvatore, V. Magni, G. Caldara, E. Schiavon, A. Cozzi, S. Schiaffino, L.A. Carbonaro, I. Castiglioni, F. Sardanelli
Artificial intelligence for digital breast tomosynthesis: Impact on diagnostic performance, reading times, and workload in the era of personalized screening
2023 V. Magni, A. Cozzi, S. Schiaffino, A. Colarieti, F. Sardanelli
Axillary lymphadenopathy at the time of COVID-19 vaccination: ten recommendations from the European Society of Breast Imaging (EUSOBI)
2021 S. Schiaffino, K. Pinker, V. Magni, A. Cozzi, A. Athanasiou, P.A.T. Baltzer, J. Camps Herrero, P. Clauser, E.M. Fallenberg, G. Forrai, M.H. Fuchsjäger, T.H. Helbich, F. Kilburn-Toppin, C.K. Kuhl, M. Lesaru, R.M. Mann, P. Panizza, F. Pediconi, R.M. Pijnappel, T. Sella, I. Thomassin-Naggara, S. Zackrisson, F.J. Gilbert, F. Sardanelli
Contrast-enhanced Mammography : A Systematic Review and Meta-Analysis of Diagnostic Performance
2021 A. Cozzi, V. Magni, M. Zanardo, S. Schiaffino, F. Sardanelli
Contrast-enhanced mammography for the assessment of screening recalls: a two-centre study
2022 A. Cozzi, S. Schiaffino, M. Fanizza, V. Magni, L. Menicagli, C.G. Monaco, A. Benedek, D. Spinelli, G. Di Leo, G. Di Giulio, F. Sardanelli
Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus
2022 V. Magni, M. Interlenghi, A. Cozzi, M. Ali', C. Salvatore, A.A. Azzena, D. Capra, S. Carriero, G. DELLA PEPA, D. Fazzini, G. Granata, C.B. Monti, G. Muscogiuri, G. Pellegrino, S. Schiaffino, I. Castiglioni, S. Papa, F. Sardanelli
Do we still need breast cancer screening in the era of targeted therapies and precision medicine?
2020 R.M. Trimboli, P. Giorgi Rossi, N.M.L. Battisti, A. Cozzi, V. Magni, M. Zanardo, F. Sardanelli
Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features
2021 S. Schiaffino, M. Codari, A. Cozzi, D. Albano, M. Alì, R. Arioli, E. Avola, C. Bnà, M. Cariati, S. Carriero, M. Cressoni, P.S.C. Danna, G. Della Pepa, G. Di Leo, F. Dolci, Z. Falaschi, N. Flor, R.A. Foà, S. Gitto, G. Leati, V. Magni, A.E. Malavazos, G. Mauri, C. Messina, L. Monfardini, A. Paschè, F. Pesapane, L.M. Sconfienza, F. Secchi, E. Segalini, A. Spinazzola, V. Tombini, S. Tresoldi, A. Vanzulli, I. Vicentin, D. Zagaria, D. Fleischmann, F. Sardanelli
Mammography biomarkers of cardiovascular and musculoskeletal health: A review
2023 V. Magni, D. Capra, A. Cozzi, C.B. Monti, N. Mobini, A. Colarieti, F. Sardanelli
MRI-Derived Tumour-to-Breast Volume Is Associated with the Extent of Breast Surgery
2021 A. Cozzi, S. Schiaffino, G. DELLA PEPA, S. Carriero, V. Magni, D. Spinelli, L.A. Carbonaro, F. Sardanelli
Pulmonary thromboembolism in hospitalised COVID-19 patients at moderate to high risk by Wells score: a report from Lombardy, Italy
2020 L. Monfardini, M. Morassi, P. Botti, R. Stellini, L. Bettari, S. Pezzotti, M. Ali, C.G. Monaco, V. Magni, A. Cozzi, S. Schiaffino, C. Bna