BESOZZI, DANIELA
BESOZZI, DANIELA
DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE
Advantages of GPU-accelerated approach for solving the Parker equation in the heliosphere
2024 Della Torre, S; Cavallotto, G; Besozzi, D; Gervasi, M; La Vacca, G; Nobile, M; Rancoita, P
Development and validation of a gene expression-based Breast Cancer Purity Score
2024 Barreca, M; Dugo, M; Galbardi, B; Győrffy, B; Frassoldati, A; Zambetti, M; Mansutti, M; Zamagni, C; Del Mastro, L; Colleoni, M; Bisagni, G; Gianni, L; Antón-Torres, A; García Sáenz, J; Ciruelos Gil, E; Sevillano, E; Falo, C; Bermejo, B; Volkov, N; Gennadievich, A; Frolova, M; Semiglazov, V; Malter, W; Schumacher, C; Schneeweiss, A; Lück, H; Tesch, H; Behringer, D; Graffunder, G; Sagasser, J; Thill, M; Egle, D; Greil, R; O'Connor, M; Kennedy, J; Morris, P; O'Reilly, S; Kelly, C; Tseng, L; Liu, L; Hou, M; Chen, S; Huang, C; Russo, S; Bianchini, G; Zambelli, S; Gambaro, A; Mariani, G; Bengala, C; Montemurro, F; Valagussa, P; Besozzi, D; Viale, G; Bianchini, G; Callari, M
Fuzzy Logic for Knowledge-Driven and Data-Driven Modeling in Biomedical Sciences
2024 Cazzaniga, P; Spolaor, S; Fuchs, C; Nobile, M; Besozzi, D
Machine learning streamlines the morphometric characterization and multi-class segmentation of nuclei in different follicular thyroid lesions: everything in a NUTSHELL
2024 L'Imperio, V; Coelho, V; Cazzaniga, G; Papetti, D; Del Carro, F; Capitoli, G; Marino, M; Ceku, J; Fusco, N; Ivanova, M; Gianatti, A; Nobile, M; Galimberti, S; Besozzi, D; Pagni, F
Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment
2024 Locatelli, M; Cerioli, R; Besozzi, D; Hommersom, A; Stella, F
Tumour ecosystem and molecular dynamics in clinical triple-negative breast cancer depend on the chemotherapy regimen
2024 Barreca, M; Mariani, M; Dugo, M; Galbardi, B; Valagussa, P; Besozzi, D; Viale, G; Gianni, L; Bianchini, G; Callari, M
Tumour ecosystem and molecular dynamics in clinical triple-negative breast cancer depend on the chemotherapy regimen
2024 Barreca, M; Mariani, M; Dugo, M; Galbardi, B; Valagussa, P; Besozzi, D; Viale, G; Gianni, L; Bianchini, G; Callari, M
Tumour ecosystem and molecular dynamics in clinical triple-negative breast cancer depend on the chemotherapy regimen
2024 Barreca, M; Mariani, M; Dugo, M; Galbardi, B; Valagussa, P; Besozzi, D; Viale, G; Gianni, L; Bianchini, G; Callari, M
An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar
2023 Papetti, D; Van Abeelen, K; Davies, R; Menè, R; Heilbron, F; Perelli, F; Artico, J; Seraphim, A; Moon, J; Parati, G; Xue, H; Kellman, P; Badano, L; Besozzi, D; Nobile, M; Torlasco, C
Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning
2023 Papetti, D; Spolaor, S; Nazari, I; Tirelli, A; Leonardi, T; Caprioli, C; Besozzi, D; Vlachou, T; Pelicci, P; Cazzaniga, P; Nobile, M
Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistance
2023 Botta, C; Perez, C; Larrayoz, M; Puig, N; Cedena, M; Termini, R; Goicoechea, I; Rodriguez, S; Zabaleta, A; Lopez, A; Sarvide, S; Blanco, L; Papetti, D; Nobile, M; Besozzi, D; Gentile, M; Correale, P; Siragusa, S; Oriol, A; González-Garcia, M; Sureda, A; de Arriba, F; Rios Tamayo, R; Moraleda, J; Gironella, M; Hernandez, M; Bargay, J; Palomera, L; Pérez-Montaña, A; Goldschmidt, H; Avet-Loiseau, H; Roccaro, A; Orfao, A; Martinez-Lopez, J; Rosiñol, L; Lahuerta, J; Blade, J; Mateos, M; San-Miguel, J; Martinez Climent, J; Paiva, B
Method for Determining an Optimal Inversion Time for an "Inversion Recovery" Radio Frequency Pulse Sequence of a Magnetic Resonance for Acquiring Late Images After Administering a Paramagnetic Contrast Medium
2023 Papetti, D; Torlasco, C; Nobile, M; Besozzi, D
The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts
2023 Coelho, V; Papetti, D; Tangherloni, A; Cazzaniga, P; Besozzi, D; Nobile, M
Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies
2023 Nobile, M; Capitoli, G; Sowirono, V; Clerici, F; Piga, I; van Abeelen, K; Magni, F; Pagni, F; Galimberti, S; Cazzaniga, P; Besozzi, D
Use of artificial intelligence to automatically predict the optimal patient-specific inversion time for late gadolinium enhancement imaging. Tool development and clinical validation
2023 Torlasco, C; Papetti, D; Castelletti, S; Sabatini, M; Muscogiuri, G; Badano, L; Parati, G; Kellman, P; Besozzi, D; Nobile, M
Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization
2022 Papetti, D; Coelho, V; Ashlock, D; Cazzaniga, P; Spolaor, S; Besozzi, D; Nobile, M
Metodo per determinare un tempo di inversione ottimale per una sequenza “Inversion Recovery” di risonanza magnetica utilizzabile per l’acquisizione di immagini tardive dopo somministrazione di un mezzo di contrasto paramagnetico
2022 Besozzi, D; Papetti, D; Torlasco, C; Nobile, M
Modeling Calcium Signaling in S. cerevisiae Highlights the Role and Regulation of the Calmodulin-Calcineurin Pathway in Response to Hypotonic Shock
2022 Spolaor, S; Rovetta, M; Nobile, M; Cazzaniga, P; Tisi, R; Besozzi, D
SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks
2022 Riva, S; Cazzaniga, P; Nobile, M; Spolaor, S; Rundo, L; Besozzi, D; Tangherloni, A
A comparison of multi-objective optimization algorithms to identify drug target combinations
2021 Spolaor, S; Papetti, D; Cazzaniga, P; Besozzi, D; Nobile, M