Veronica Magni

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Diffusion Weighted Imaging

Machine Learning

Computed Tomography

Top Venues

Diagnostics (Basel, Switzerland)

Insights into imaging

BJR case reports

Journal of personalized medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Veronica Magni, Andrea Cozzi, Giulia Muscogiuri, Adrienn Benedek, Gabriele Rossini, Marianna Fanizza, Giuseppe Di Giulio, Francesco Sardanelli
Background parenchymal enhancement on contrast-enhanced mammography: associations with breast density and patient's characteristics. La Radiologia medica (2024)
Francesco Sardanelli, Veronica Magni, Gabriele Rossini, Fleur Kilburn-Toppin, Nuala A Healy, Fiona J Gilbert
The paradox of MRI for breast cancer screening: high-risk and dense breasts-available evidence and current practice. Insights into imaging 15 (1) (2024)
Luca Rinaudo, Sofia Cuttone, Carmelo Messina, Veronica Magni, Davide Capra, Luca Maria Sconfienza, Francesco Sardanelli, Fabio Massimo Ulivieri
Generation and Validation of Normative, Age-Specific Reference Curves for Bone Strain Index in Women. Diagnostics (Basel, Switzerland) 14 (10) (2024)
Luca Rinaudo, Sofia Cuttone, Carmelo Messina, Veronica Magni, Davide Capra, Luca Maria Sconfienza, Francesco Sardanelli, Fabio Massimo Ulivieri
Generation and Validation of Normative, Age-Specific Reference Curves for Bone Strain Index in Women. Diagnostics (Basel, Switzerland) 14 (10) (2024)
Francesco Sardanelli, Veronica Magni, Gabriele Rossini, Fleur Kilburn-Toppin, Nuala A Healy, Fiona J Gilbert
The paradox of MRI for breast cancer screening: high-risk and dense breasts-available evidence and current practice. Insights into imaging 15 (1) (2024)
Francesco Sardanelli, Veronica Magni, Gabriele Rossini, Fleur Kilburn-Toppin, Nuala A Healy, Fiona J Gilbert
The paradox of MRI for breast cancer screening: high-risk and dense breasts-available evidence and current practice. Insights into imaging 15 (1) (2024)
Emilia Giambersio, Veronica Magni, Francesco Sardanelli
Bilateral lymphadenopathies on mammograms: a case of mixed connective tissue disease and psoriatic arthropathy. BJR case reports 9 (2) (2023)
Emilia Giambersio, Veronica Magni, Francesco Sardanelli
Bilateral lymphadenopathies on mammograms: a case of mixed connective tissue disease and psoriatic arthropathy. BJR case reports 9 (2) (2023)
Matteo Interlenghi, Christian Salvatore, Veronica Magni, Gabriele Caldara, Elia Schiavon, Andrea Cozzi, Simone Schiaffino, Luca Alessandro Carbonaro, Isabella Castiglioni, Francesco Sardanelli
A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses. Diagnostics (Basel, Switzerland) 12 (1) (2022)
Veronica Magni, Matteo Interlenghi, Andrea Cozzi, Marco Alì, Christian Salvatore, Alcide A Azzena, Davide Capra, Serena Carriero, Gianmarco Della Pepa, Deborah Fazzini, Giuseppe Granata, Caterina Beatrice Monti, Giulia Muscogiuri, Giuseppe Pellegrino, Simone Schiaffino, Isabella Castiglioni, Sergio Papa, Francesco Sardanelli
Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus. Radiology. Artificial intelligence 4 (2) (2022)
Andrea Cozzi, Veronica Magni, Moreno Zanardo, Simone Schiaffino, Francesco Sardanelli
Contrast-enhanced Mammography: A Systematic Review and Meta-Analysis of Diagnostic Performance. Radiology 302 (3) (2021)
Andrea Cozzi, Simone Schiaffino, Gianmarco Della Pepa, Serena Carriero, Veronica Magni, Diana Spinelli, Luca A Carbonaro, Francesco Sardanelli
MRI-Derived Tumour-to-Breast Volume Is Associated with the Extent of Breast Surgery. Diagnostics (Basel, Switzerland) 11 (2) (2021)
Simone Schiaffino, Marina Codari, Andrea Cozzi, Domenico Albano, Marco Alì, Roberto Arioli, Emanuele Avola, Claudio Bnà, Maurizio Cariati, Serena Carriero, Massimo Cressoni, Pietro S C Danna, Gianmarco Della Pepa, Giovanni Di Leo, Francesco Dolci, Zeno Falaschi, Nicola Flor, Riccardo A Foà, Salvatore Gitto, Giovanni Leati, Veronica Magni, Alexis E Malavazos, Giovanni Mauri, Carmelo Messina, Lorenzo Monfardini, Alessio Paschè, Filippo Pesapane, Luca M Sconfienza, Francesco Secchi, Edoardo Segalini, Angelo Spinazzola, Valeria Tombini, Silvia Tresoldi, Angelo Vanzulli, Ilaria Vicentin, Domenico Zagaria, Dominik Fleischmann, Francesco Sardanelli
Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features. Journal of personalized medicine 11 (6) (2021)