BESOZZI DANIELA

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Papetti, D., Van Abeelen, K., Davies, R., Menè, R., Heilbron, F., Perelli, F., et al. (2023). An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 229(February 2023) [10.1016/j.cmpb.2022.107321]. Dettaglio

Nobile, M., Capitoli, G., Sowirono, V., Clerici, F., Piga, I., van Abeelen, K., et al. (2023). Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies. EXPERT SYSTEMS WITH APPLICATIONS, 215 [10.1016/j.eswa.2022.119296]. Dettaglio

Riva, S., Cazzaniga, P., Nobile, M., Spolaor, S., Rundo, L., Besozzi, D., et al. (2022). SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks. SYMMETRY, 14(1) [10.3390/sym14010119]. Dettaglio

Spolaor, S., Rovetta, M., Nobile, M., Cazzaniga, P., Tisi, R., Besozzi, D. (2022). Modeling Calcium Signaling in S. cerevisiae Highlights the Role and Regulation of the Calmodulin-Calcineurin Pathway in Response to Hypotonic Shock. FRONTIERS IN MOLECULAR BIOSCIENCES, 9(18 May 2022) [10.3389/fmolb.2022.856030]. Dettaglio