BESOZZI DANIELA

Coelho, V., Papetti, D., Tangherloni, A., Cazzaniga, P., Besozzi, D., Nobile, M. (2023). The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts. Intervento presentato a: IEEE Congress on Evolutionary Computation, Chicago, IL, USA [10.1109/CEC53210.2023.10253982]. Dettaglio

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

Papetti, D., Spolaor, S., Nazari, I., Tirelli, A., Leonardi, T., Caprioli, C., et al. (2023). Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning. FRONTIERS IN BIOINFORMATICS, 3 [10.3389/fbinf.2023.1067113]. 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

Botta, C., Perez, C., Larrayoz, M., Puig, N., Cedena, M., Termini, R., et al. (2023). Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistance. NATURE COMMUNICATIONS, 14(1) [10.1038/s41467-023-41562-6]. Dettaglio