GILARDI MARIA CARLA

Rundo, L., Ledda, R., di Noia, C., Sala, E., Mauri, G., Milanese, G., et al. (2021). A Low-Dose CT-Based Radiomic Model to Improve Characterization and Screening Recall Intervals of Indeterminate Prevalent Pulmonary Nodules. DIAGNOSTICS, 11(9) [10.3390/diagnostics11091610]. Dettaglio

Belloli, S., Morari, M., Murtaj, V., Valtorta, S., Moresco, R., Gilardi, M. (2020). Translation Imaging in Parkinson’s Disease: Focus on Neuroinflammation. FRONTIERS IN AGING NEUROSCIENCE, 12 [10.3389/fnagi.2020.00152]. Dettaglio

Rundo, L., Han, C., Zhang, J., Hataya, R., Nagano, Y., Militello, C., et al. (2020). CNN-based prostate zonal segmentation on t2-weighted MR images: A cross-dataset study. In A. Esposito (a cura di), Neural Approaches to Dynamics of Signal Exchanges (pp. 269-280). Springer Science and Business Media Deutschland GmbH [10.1007/978-981-13-8950-4_25]. Dettaglio

Rundo, L., Han, C., Nagano, Y., Zhang, J., Hataya, R., Militello, C., et al. (2019). USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. NEUROCOMPUTING, 365, 31-43 [10.1016/j.neucom.2019.07.006]. Dettaglio

Rundo, L., Tangherloni, A., Cazzaniga, P., Nobile, M., Russo, G., Gilardi, M., et al. (2019). A novel framework for MR image segmentation and quantification by using MedGA. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 176, 159-172 [10.1016/j.cmpb.2019.04.016]. Dettaglio