| Sex differences in autism spectrum disorder: diagnostic, neurobiological, and behavioral features A Napolitano, S Schiavi, P La Rosa, MC Rossi-Espagnet, S Petrillo, ... Frontiers in psychiatry 13, 889636, 2022 | 81 | 2022 |
| COVID mortality prediction with machine learning methods: a systematic review and critical appraisal F Bottino, E Tagliente, L Pasquini, AD Napoli, M Lucignani, ... Journal of personalized medicine 11 (9), 893, 2021 | 58 | 2021 |
| Deep learning can differentiate IDH-mutant from IDH-wild GBM L Pasquini, A Napolitano, E Tagliente, F Dellepiane, M Lucignani, A Vidiri, ... Journal of personalized medicine 11 (4), 290, 2021 | 41 | 2021 |
| AI and high-grade glioma for diagnosis and outcome prediction: do all machine learning models perform equally well? L Pasquini, A Napolitano, M Lucignani, E Tagliente, F Dellepiane, ... Frontiers in Oncology 11, 601425, 2021 | 30 | 2021 |
| Quantitative MRI harmonization to maximize clinical impact: the RIN–neuroimaging network A Nigri, S Ferraro, CAMG Wheeler-Kingshott, M Tosetti, A Redolfi, ... Frontiers in Neurology 13, 2022 | 16 | 2022 |
| Synthetic post-contrast imaging through artificial intelligence: clinical applications of virtual and augmented contrast media L Pasquini, A Napolitano, M Pignatelli, E Tagliente, C Parrillo, F Nasta, ... Pharmaceutics 14 (11), 2378, 2022 | 13 | 2022 |
| Multi-centre and multi-vendor reproducibility of a standardized protocol for quantitative susceptibility Mapping of the human brain at 3T M Lancione, P Bosco, M Costagli, A Nigri, D Aquino, I Carne, S Ferraro, ... Physica Medica 103, 37-45, 2022 | 12 | 2022 |
| 3D CT-inclusive deep-learning model to predict mortality, ICU admittance, and intubation in COVID-19 patients A Di Napoli, E Tagliente, L Pasquini, E Cipriano, F Pietrantonio, P Ortis, ... Journal of Digital Imaging 36 (2), 603-616, 2023 | 10 | 2023 |
| Comparison of machine learning classifiers to predict patient survival and genetics of GBM: Towards a standardized model for clinical implementation L Pasquini, A Napolitano, M Lucignani, E Tagliente, F Dellepiane, ... arXiv preprint arXiv:2102.06526, 2021 | 6 | 2021 |
| MRI data quality assessment for the RIN-Neuroimaging Network using the ACR phantoms F Palesi, A Nigri, R Gianeri, D Aquino, A Redolfi, L Biagi, I Carne, ... Physica Medica 104, 93-100, 2022 | 5 | 2022 |
| Machine Learning Algorithm: Texture Analysis in CNO and Application in Distinguishing CNO and Bone Marrow Growth-Related Changes on Whole-Body MRI M Forestieri, A Napolitano, P Tomà, S Bascetta, M Cirillo, E Tagliente, ... Diagnostics 14 (1), 61, 2023 | | 2023 |
| Early Assessment of expansion of New Born Screening panel in the Italian context M Marchetti, S Paone, M Ruggeri, D Mandolini, P Roazzi, AL Scalzo, ... Population Medicine 5 (Supplement), 2023 | | 2023 |
| Synthetic Post-Contrast Imaging through Artificial Intelligence: Clinical Applications of Virtual and Augmented Contrast Media. Pharmaceutics 2022, 14, 2378 L Pasquini, A Napolitano, M Pignatelli, E Tagliente, C Parrillo, F Nasta, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
